Evaluation of glue joint parameters between wood cellular material and magnesium oxide sheet

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This study evaluates the performance of adhesive joints between wood cellular materials and magnesium oxide (MgO) sheets under elevated temperature exposure. Four industrial adhesive systems: polyvinyl acetate (PVA), melamine-urea-formaldehyde (MUF), emulsion polymer isocyanate (EPI), and polyurethane reactive (PUR) were tested to determine their fire resistance and thermal stability. A custom-built small-scale fire testing chamber, designed to approximate the ISO 834 standard time-temperature curve, was employed to assess joint integrity and panel performance. Results showed that MUF adhesives failed within the first 5 minutes, while PVA exhibited highly variable results due to its thermoplastic nature. PUR and EPI adhesives demonstrated significantly better performance, maintaining structural integrity up to 18 and 21 minutes, respectively, under equivalent thermal exposure. Larger-scale composite panel tests confirmed that relocating the MgO-wood adhesive interface toward the panel center improved cohesion and delayed delamination, achieving sustained integrity for up to 39 minutes. The findings highlight the importance of adhesive type, joint placement, and controlled testing environments in optimizing the fire performance of wood-MgO composites. The research provides practical insights for developing lightweight, fire-resistant panels suitable for doors, partitions, and other interior structural applications. wood cellular material fire resistance wood glues Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Figure 9 Figure 10 Figure 11 Figure 12 Figure 13 Introduction In modern construction and furniture industries, the demand for lightweight, durable, and fire-resistant composite panels has increased significantly. Growing environmental awareness, stricter building regulations, and the need for efficient material performance have accelerated the development of hybrid composites that combine the favorable mechanical properties of wood-based materials with the thermal stability of inorganic components such as magnesium oxide (MgO). Fire resistance is one of the most critical parameters determining the suitability of such materials for structural and interior applications, including partition walls, door cores, and cladding panels. Fire incidents in buildings demonstrate that the performance of composite materials under elevated temperatures is often the decisive factor in delaying structural failure, providing time for evacuation, and preventing fire spread. Fire resistance testing provides a controlled means of evaluating a material or assembly’s ability to withstand fire exposure, maintain structural integrity, and limit heat transfer. In Europe, such performance is primarily assessed according to the EN 13501-2 classification system [ 1 ] and the EN 1363-1 general requirements for fire resistance tests [ 2 ]. These standards define criteria such as integrity (E), insulation (I), and load-bearing capacity (R). Depending on the application, additional performance factors may be considered - such as radiation control (W) or smoke leakage (S). For wall or door panel systems, typical rating designations are expressed as EI 30, EI 60, or EI 90, indicating the number of minutes a specimen maintains both integrity and insulation before failure. In the United Kingdom, the BS 476 series, particularly Part 20–22, serves similar purposes [ 3 ], describing methods for determining the fire resistance of non-loadbearing and loadbearing elements. Both BS and EN standards require exposure to a defined time - temperature curve, commonly the ISO 834 standard fire curve [ 4 ], which simulates a fully developed compartment fire with temperatures reaching approximately 945°C at 60 minutes. Developing lightweight composite panels that meet such stringent requirements presents substantial material and design challenges. Traditional timber-based composites, such as plywood, particleboard, and fiber board structures are valued for their low density and good strength-to-weight ratio but are inherently combustible. To improve fire performance, of wood panels, researchers have focused on integrating inorganic skins, flame-retardant additives, and high-temperature-resistant adhesives. MgO-based boards are particularly promising due to their non-combustibility (classified as A1 or A2 under EN 13501-2) [ 1 ], low thermal conductivity, and dimensional stability under heat. When bonded with appropriate adhesives to wood-based cores, MgO sheets can act as a thermal barrier, significantly delaying ignition and charring of the wooden substrate. However, many commercial wood adhesives, including PVA, MUF, EPI, and PUR systems, exhibit varying thermal stability and degradation behavior. For instance, calorimetric analysis in a study have revealed that at lower temperatures (> 135°C) can lose more strength but reaching higher (> 170°C) temperature PUR can have total loss in strength where EPI would still maintain at least some. [ 9 ]. Additionally, gluing strength measured by shear tests indicated that PVA glues start to lose strength after 50°C EPI adhesives maintain good thermal stability up to 150°C, while MUF adhesives exhibit high stability in higher temperatures, but PUR shows diverse performance depending whether the system is 1c or 2c sample moisture and another factors. [ 10 ]. Furthermore, studies have shown that the performance of adhesives under elevated temperatures varies, with some adhesives displaying improved elevated temperature performance compared to others [ 11 ]. The ability of an adhesive to maintain bond integrity at elevated temperatures is essential for preserving panel cohesion and preventing delamination during fire exposure. Consequently, comparative studies assessing adhesive performance under realistic thermal conditions are vital for designing reliable and safe composite assemblies. Previous investigations have explored the fire performance of magnesium oxide (MgO) boards primarily as mechanically fastened linings in steel- or timber-framed wall assemblies [ 5 – 6 ] or as mineral-bonded wood composites in which MgO or magnesium oxychloride acts directly as the binder [ 7 – 8 ]. These studies consistently demonstrate the excellent non-combustibility and thermal stability of MgO-based materials but do not examine the behavior of assemblies where MgO boards are adhesively bonded to wood substrates. To date, there is limited experimental evidence on how organic or hybrid adhesive layers influence the integrity of MgO-wood interfaces under direct fire exposure, despite the growing industrial interest in lightweight, glue-bonded hybrid panels. Therefore, the present study aims to fill this gap by evaluating the fire resistance of MgO-wood composite panels bonded with different commercial adhesive systems, identifying how adhesive chemistry and joint configuration affect thermal stability and failure mechanisms during exposure to a controlled ISO 834 time - temperature regime. Materials and Methods Four different adhesive systems were employed for wood composite and magnesium oxide (MgO) 3 mm thick sheet bonding: polyvinyl acetate (PVA) Cascol 3353 glue, melamine-urea-formaldehyde (MUF) AkzoNobel MUF system 1242/2542 resin, emulsion polymer isocyanate (EPI) AkzoNobel 1920 adhesive combined with hardener 1992 adhesive, and polyurethane reactive (PUR) Bison PU max D4 glue. PVA glue is a water-based thermoplastic adhesive consisting primarily of polyvinyl acetate. It was applied directly from the manufacturer’s container without dilution. The open assembly time was approximately 5 minutes, and the adhesive spread rate was maintained at 250 g/m² on one surface. MUF glue is a thermosetting amino resin produced by the condensation of melamine, urea, and formaldehyde. It was prepared immediately before application by mixing resin and hardener in the manufacturer’s recommended ratio (100:20 by weight). The mixture was applied on surface with usage of approximately 220 g/m², the open assembly time was 5 minutes. EPI glue is a two-component, room-temperature-curing adhesive system consisting of a polyvinyl acetate emulsion and a polymeric isocyanate crosslinker. The components were mixed in a 100:15 ratio by weight, applied at 200 g/m² on one surface. PUR glue is a moisture-curing one-component polyurethane adhesive. It reacts with ambient moisture to form a thermoset network. The adhesive was applied at 240 g/m² on surface. All adhesives were used according to the manufacturers’ technical data sheets to ensure consistent bonding conditions. Two specimen groups were prepared, each containing one sample per glue type (Fig. 1). 3mm thick MgO board with fiberglass reinforcement was cut to 600´600 mm size, 150´150´36 mm cellular wood composite material pieces were prepared, wooden surface was sawn less than 5 hours before the glue application, MgO boards were wiped with dry cloth before application of glue. After application of glue samples were put in hydraulic press and left there for 15 hours. Pressing pressure on wood to MgO board cross section area was 0.2 MPa. During testing one specimen was oriented 180 degrees opposite to another so that glue samples that have been in the bottom of the test oven in following test is in the top of oven where its slightly higher temperature. Additionally, 3 configurations samples were tested in bigger scale of 600´600 mm samples. Panel prototypes were made using same tested gluing technology as before, where samples used PUR glue, one EPI. All three samples had total thickness of 44 mm. the layup of the One EPI and one PUR sample was 38 mm Wood cellular material covered with 3 mm thick MgO glass fiber reinforced sheets. The layup of second PUR sample was 4mm HDF 16 mm Wood Cellular material 3 mm MgO Sheet, 16mm Wood Cellular material 4 mm HDF. The more detailed construction of samples can be seen in the table 1. Table 1 Bigger size sample layup No. Glue Layup 1 PUR 3 mm MgO - 38 mm CWM - 3 mm MgO 2 EPI 3 mm MgO - 38 mm CWM - 3 mm MgO 3 PUR 4 mm HDF - 16 mm CWM - 4 mm MgO - 16 mm CWM - 4 mm HDF A simple and affordable testing oven for fire resistance testing using a test chamber constructed from aerated concrete blocks (300×200×600 mm, dry density 425 kg/m 3 ) and heated with a propane torch Sievert PRO 88 with propane consumption approximately 6 kg per hour, was constructed. The test chamber can be seen in Figure 2. For measuring internal chamber temperatures Stainless steel probe with K-Type Thermocouple rated with maximum measurement range of 1300 °C was used. The chamber pressure could be adjusted by opening and closing the gaps, increasing and decreasing the flow of gas and moving the torch closer or further to the input gap of the chamber allowing the flame to pull with flame, more or less air in the chamber. Chamber pressure was not measured. However, it can be observed by looking at gap at bottom of test sample and seeing if chamber pulls in air or pushes smoke out, in sense of is pressure negative or positive. After first couple attempts at testing in the newly built chamber it was discovered that flame deflector is needed else turbulent high velocity flame burns spot in the test sample, by blowing the protective charcoal layer that forms on wood away. As deflector was employed 120 mm long piece of UPN200 profile. After employing the metal deflector uniform burns could be achieved (Fig. 3). The system is flexible enough to allow the operator to successfully approximate the ISO 834-1 time - temperature curve by adjusting the flame and vent gap between the blocks. During test as it was impossible with setup to exactly match the temperatures operator tried to keep the temperature in margin diverging maximum of 100 °C above the required temperature. Surface temperatures of the test panels were monitored using infrared (IR) non-contact thermometers (Black and decker BD TLD 100), and surface-mounted generic K-Type thermocouples. For sealing edges and gaps where center of panel performance was tested two methods of sealing to oven was employed. For bottom gap (and for some gaps for oven) it was found that sand is good material to use (Fig. 4), as it can be removed when needed and applied if needed for example in case if bottom gap has already failed but there is still more data to be gathered about panel. For remaining gaps high temperature sealant can be used, during the testing two brands were used Penosil Premium +1500 °C and Soudal CALOFER +1500 °C. Data mathematical calculation of the investigated parameters were done and parameters such as temperature evaluation by time was drawn in graphs. Before tests were done standard temperature curve was predicted by modeling. For the result comparison MS Excel visualization graphs were used. Results and Discussion The result of fire resistance test is expressed in minutes. In this preliminary test relative performance of four glues in same conditions can be observed. The measured oven temperature compared to standard temperature can be seen in the figure 5. In both tests runs the glue that failed first was MUF. It failed at 5 th minute in first test run and in 3 rd minute in 2 nd test run. It can be seen, that in second test run the start temperature when the timer got started was initially high, cause both tests were done in succession and oven was still hot and even without applying extra energy from torch temperature in oven raised significantly as soon as test sample was put in oven. Failure of the test sample had 2 significant steps. First it could be seen that sample starts to separate off the base. And then falls off leaving glue both on base panel and on wood sample. Therefore, it can be concluded that failure happened inside glue joint. Typical failure steps of MUF glue sample can see in Figure 6. PVA Glue sample had radically different performance between both test runs. In first test PVA glue sample withstood 20 minutes and fell of the base only when was touched with test probe. In this test run sample was located at bottom of test oven and test oven had cold start. The case could be made that this was the contributing factor for success of this sample. Why this might not be true is the fact that sample surface temperature was monitored and sample that failed sooner had at least 2 times lower surface temperature (Table 2) than sample that didn’t fail. The lower performing sample that withstood roughly 8 minutes is how Polyvinyl Acetate adhesive would be expected to perform. Since PVA generally perform poorly at elevated temperatures due to their thermoplastic properties and low thermal stability. PVA begins to soften at approximately 70 to 100 °C and decomposes at 200 to 250 °C, releasing acetic acid and flammable gases. This causes a rapid loss of joint integrity what was seen in the test run 2. The excellent performance seen in test run 1 is interesting example how multiple factors can influence test result yielding unexpected result. In both tests run PUR samples up to ignition performed of similarly. The sample drop off time was 16 minutes and 18 minutes respectively. Interestingly at this time if samples are compared via temperature in oven it can be seen, that for sample that performed better the temperature in oven was slightly lower. Interesting observation was that PUR Excess glue around sample ignited and burned before the sample outer most surface reached 90 °C. Typical sequence of events was Glue colors brown then black and then sample is being burned off until it’s charred enough to fall off the MgO base. In the images below (Fig. 8.) Sequence of the characteristic events in the burning process of PUR sample can be seen. EPI Glue samples were best performing, they lasted to 20 and 21 minutes on the MgO base (Fig. 9). When the cellular material piece fell off sample was severely burned. Also, what was different from PUR case was that ignition didn’t seem to come from glue, but rather from material. Another thing that confirms this is the fact that surface temperature of test piece at time of ignition was 120 and 108 °C where for another glue types surface (furthest away from oven chamber) temperature of sample was e.g. PUR sample started to burn when Wood surface temperature was between 80 and 95 °C. Also, just visually It could be seen that epi contributes very little to flame, compared to look of another glue types. We can safely conclude that EPI performed the best and PUR was close runner up. Therefore, further samples were made of those two glues. First the hypothesis was that if we cover CWM with MgO panels, the result will be excellent fire resistant and stable door panel. So, two samples of Sample Type 1 one using vacuum press another using hydraulic press. Was made. After testing vacuum pressed sample, while still reaching 32-minute mark and failing by reaching average surface temperature requirement it was seen that at around 10-minute mark the inside layer of MgO completely fell off (can be seen in bottom left picture of Figure 10. Since the MgO sheet fell off so quickly. And it was thought that vacuum pressing is issue. The sample was made using hydraulic pressing and same glue, but also for that sample the MgO sheet started to fall off just before minute 10 mark. Both pressing types of glue in hot side holding the MgO board failed much sooner than when tested previously. Then the same sample was made using EPI glue and vacuum pressing (sample type 2). But Results were very similar. At around minute 8 in test it can be seen, that hot side MgO board splits away (Fig.11). By minute 10 the MgO board is completely separated. And slightly falls in the oven making around 5 mm gap to the door panel. At minute 13 test is stopped cause glue failed. By minute 15 flame shows (test failed) on sides of sample caused by the fact that burn products from the panel has nowhere to escape so they don’t escape thru oven but pushes thru any gap that can be found near panel. The reason why the glue joint fails relatively rapidly in this setup the glue needs to work and connect two very different materials in very high temperature. Now the first glue joint is working in temperature what is in the oven. Cause layer that has best insulative properties is on cold side, so the joint temperature is very near to the oven temperature. And the glue or the surface of wood that rapidly changes into coal fails structurally. So, the next logical thing is to protect the glue joint that connects the MgO and Wood from heat. In simple terms. move it in the center of door panel. The Sample type 3 was constructed. PUR glue pressed in vacuum press was chosen because it was carpenters competence that it is easier to work with and its more available and therefore more popular (at least in nearby area). The Burn behavior of this sample was certainly different from previous samples, since it has surface material that burns and smokes once surface temperature went past 120 °C it started to smoke significantly. The panel Didn’t lose its mechanical integrity even when it was significantly charring on “cold” side. Another interesting behavior that was noticed was that “cold side” telegraphed the CWM layer structure onto the outside HDF surface. Well before reaching 100 °C temperature, Hypothesis was made that since water and other gases and evaporated products cant escape to furnace side where they are blocked by MgO sheet, now they escape thru HDF, making HDF more humid. The test was deemed failed when first red hot coal was noticed on panel (Fig. 12 c), most picture is taken about 30 sec after 1 st coal was noticed. The required standard temperature and measured furnace temperature during the tests can be seen in the Figure13. Since the gas flow is regulated manually it can be seen that its quite hard to precisely hit the right temperature when around minute 8 the standard temperature changes trajectory. Sample Type 3 withstood the Fire resistance requirements in this simplified fire resistance test for 39 minutes and more importantly for this reduced size test the panel didn’t lose layers or integrity in glue joints and stood uniformly from test start till almost the test end. Since the gas flow is regulated manually it can be seen that its quite hard to precisely hit the right temperature when around minute 8 the standard temperature changes trajectory. Sample Type 3 withstood the Fire resistance requirements in this simplified fire resistance test for 39 minutes and more importantly for this reduced size test the panel didn’t lose layers or integrity in glue joints and stood uniformly from test start till almost the test end. MgO and wood composites show great promise, there are prototype studies and laboratory developments that show that MgO-type panels can provide excellent fire protection when manufactured with intumescent or mineral binders or used as sandwich linings in door assemblies [12-13]. However, these works produce MgO panels by mineral/ intumescent binders or treat MgO as mechanically fixed lining within a door frame. Compared with organic thermoset adhesives such as PUR, mineral or intumescent binders provide inherently superior fire stability and non-combustibility, forming protective ceramic residues instead of decomposing. However, their brittleness and limited adhesion to lignocellulosic substrates constrain their use for bonded hybrid panels. Consequently, understanding the potential of simple to use organic adhesives, such as PUR, EPI, MUF, or PVA to perform in contact with thermally stable MgO surfaces under elevated temperatures remains a key research gap. Current work which explicitly examines MgO-wood assemblies where the MgO skin is bonded to cellular wood cores with common commercial adhesives and then exposed to controlled fire tests indicates the possibility to potentially much more simple and therefore more widespread production of MgO-wood panels. To expand and continue the work next step would be to design specific optimal layups for targeted required fire resistance ratings e.g. REI30 and REI60. Conclusions Based on limited tests that were done it can be concluded that both PUR and EPI glues can be used to connect wood and MgO sheets. Based on larger scale tests it was found that glue joint location where two different materials are joined should be kept protected, therefore if goal is to create symmetric panel cross section the best location for MgO sheet is in the center of panel. Temperature curves does not follow directly the standard temperature, therefore precise fire resistance rating with manually controlled test oven cannot be tested. To make oven temperature follow more closely to the standard temperature PID control on gas valve should be connected with oven temperature sensor. Atmosphere within the oven chamber can be fuel rich and it can be air rich, if oven is fuel rich, panel can deteriorate slower, if atmosphere is oxygen rich, panel can deteriorate sooner. When testing only sample that had burnable material on oven side, torch was placed in a way so it pulls as much fresh air as possible, and it was judged by looking at smoke more air, means less smoke from oven, less air it burns more fuel rich and its more smoke. But what is perfect amount of fuel and air in oven chamber remains open question and how would be best to measure it. Declarations Funding Statement: This research was conducted within the Latvian State research program project No. VPP-ZM-VRIIILA-2024/2-0002 “Innovation in Forest Management and Value Chain for Latvia's Growth: New Forest Services, Products and Technologies (Forest4LV)”. Author Contributions: The authors confirm contribution to the paper as follows: conceptualization, Rihards Roziņš, Uldis Spulle, Edgars Bukšāns and Edvīns Grants; methodology, Rihards Roziņš, Uldis Spulle; validation, Rihards Roziņš and Uldis Spulle; formal analysis, Rihards Roziņš, Edgars Bukšāns and Edvīns Grants; investigation, Rihards Roziņš and Uldis Spulle; resources, Rihards Roziņš, and Uldis Spulle; data curation, Rihards Roziņš, Edgars Bukšāns and Edvīns Grants; writing-original draft preparation, Rihards Roziņš and Uldis Spulle; writing-review and editing, Rihards Roziņš, Uldis Spulle, Edgars Bukšāns and Edvīns Grants; visualization, Rihards Roziņš, Uldis Spulle and Edgars Bukšāns; supervision, Uldis Spulle, Edgars Bukšāns and Edvīns Grants; project administration, Uldis Spulle; funding acquisition, Rihards Roziņš and Uldis Spulle. All authors reviewed the results and approved the final version of the manuscript. Ethics, Consent to Participate, and Consent to Publish declarations : not applicable. Competing Interests: not applicable. Data availability statement: the datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request. References EN 13501-2:2016. Fire classification of construction products and building elements—Part 2: Classification using data from fire resistance tests, excluding ventilation services. EN 1363-1:2020. Fire resistance tests—Part 1: General requirements. ISO 834-1:1999. Fire-resistance tests—Elements of building construction—Part 1: General requirements. BS 476-22:1987. Fire tests on building materials and structures—Part 22: Methods for determination of the fire resistance of non-loadbearing elements of construction. Rusthi, M., Ariyanayagam, A., Mahendran, M., Keerthan, P. Fire tests of Magnesium Oxide board lined light gauge steel frame wall systems. Fire Safety Journal, Volume 90, 2017., https://doi.org/10.1016/j.firesaf.2017.03.004 Steau, E., Mahendran M., Poologanathan K. Experimental study of fire resistant board configurations under standard fire conditions, Fire Safety Journal, Volume 116, 2020., https://doi.org/10.1016/j.firesaf.2020.103153 Zhou W., Ye Q., Q. Shi ., Fang Z., Gao Q., Li J. A strong magnesium oxychloride cement wood adhesive via organic–inorganic hybrid, Construction and Building Materials, Volume 297, 2021., https://doi.org/10.1016/j.conbuildmat.2021.123776 Shalbafan, A. and Thoemen, H. Development of Mineral-Bonded Plywood with Magnesium Oxychloride as a Binder Using the Hot-Pressing Process. Polymers (Basel). 15(4):805, 2023., https://doi.org/10.3390/polym15040805 Vaněrek, J., Bálková, R., Šmak, M., Běťák, A., Vejpustek Z. The effect of long and short term elevated temperatures on the behaviour of lap glued joints of load-bearing spruce elements, International Journal of Adhesion and Adhesives, Volume 129, 2024., https://doi.org/10.1016/j.ijadhadh.2023.103575 Clauß, S., Joscak, M., and Niemz, P. Thermal stability of glued wood joints measured by shear tests. European Journal of Wood and Wood Products, 69(1), 2010., https://doi.org/10.1007/s00107-010-0411-4 Bernaczyk, A., Wagenführ, A., Terfloth, C., Lincke, J., Krystofiak, T., Niemz, P. Investigations into the Influence of Temperature on the Tensile Shear Strength of Various Adhesives. Materials. 2023., https://doi.org/10.3390/ma16186173 Khalid, M. H., Abd Rahman, R., Abdul Latif, H., & Yahya, M. N. (2018). Prototyping and Performance Evaluation of Fire Rated Acoustic Door. International Journal of Integrated Engineering, 10(4). https://doi.org/10.30880/ijie.2018.10.04.002 Yew, M. C., Yew, M. K., & Yuen, R. K. K. (2023). Experimental Analysis of Lightweight Fire-Rated Board on Fire Resistance, Mechanical, and Acoustic Properties. Fire, 6(6), 221. https://doi.org/10.3390/fire6060221 Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 16 Jan, 2026 Reviews received at journal 05 Dec, 2025 Reviewers agreed at journal 26 Nov, 2025 Reviews received at journal 23 Nov, 2025 Reviewers agreed at journal 23 Nov, 2025 Reviewers invited by journal 21 Nov, 2025 Editor invited by journal 19 Nov, 2025 Editor assigned by journal 10 Nov, 2025 Submission checks completed at journal 09 Nov, 2025 First submitted to journal 09 Nov, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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9","display":"","copyAsset":false,"role":"figure","size":332243,"visible":true,"origin":"","legend":"\u003cp\u003eEPI sample burning process: a - ~5\u003csup\u003eth\u003c/sup\u003e minute; b - ~16\u003csup\u003eth\u003c/sup\u003e minute; c - 20\u003csup\u003eth\u003c/sup\u003e minute\u003c/p\u003e","description":"","filename":"9.png","url":"https://assets-eu.researchsquare.com/files/rs-7977357/v1/988de37434123146e8bf7b9f.png"},{"id":96941784,"identity":"9cc2f5b7-fdb2-4733-9c07-9c7c3d0c60cd","added_by":"auto","created_at":"2025-11-27 18:06:38","extension":"png","order_by":10,"title":"Figure 10","display":"","copyAsset":false,"role":"figure","size":271215,"visible":true,"origin":"","legend":"\u003cp\u003eSample PUR Type 1 burning process: a - after 32 minutes in test; b - At around minute 13 in test\u003c/p\u003e","description":"","filename":"10.png","url":"https://assets-eu.researchsquare.com/files/rs-7977357/v1/b309c016c8de990239243136.png"},{"id":97135811,"identity":"ab9cf360-d205-40d3-a279-269beb4b7b4b","added_by":"auto","created_at":"2025-12-01 09:53:50","extension":"png","order_by":11,"title":"Figure 11","display":"","copyAsset":false,"role":"figure","size":365962,"visible":true,"origin":"","legend":"\u003cp\u003eSample Type 2 burning process: a - sample at the beginning of the test; b - sample right before separation; c - MgO board separated and still in one-piece remaining piece of sample fallen out of place\u003c/p\u003e","description":"","filename":"11.png","url":"https://assets-eu.researchsquare.com/files/rs-7977357/v1/1da7540c25dc609bee6d10c8.png"},{"id":97136015,"identity":"227d9e4e-98d6-4fe4-a6a3-2ef7feb16a66","added_by":"auto","created_at":"2025-12-01 09:54:59","extension":"png","order_by":12,"title":"Figure 12","display":"","copyAsset":false,"role":"figure","size":397403,"visible":true,"origin":"","legend":"\u003cp\u003eSample Type 3 burning process: a - cross section of the test sample before the test; b - internal structure starts to visibly telegraph its layers to outside face material; c - Failed test, picture about 30 sec after first red-hot coal appeared on cold side\u003c/p\u003e","description":"","filename":"12.png","url":"https://assets-eu.researchsquare.com/files/rs-7977357/v1/46617ecfc9c66e8bd35dabd1.png"},{"id":97136287,"identity":"89816991-64a4-4cc6-8dff-b0637cf2915d","added_by":"auto","created_at":"2025-12-01 09:56:18","extension":"png","order_by":13,"title":"Figure 13","display":"","copyAsset":false,"role":"figure","size":53873,"visible":true,"origin":"","legend":"\u003cp\u003eThe required standard temperature and measured furnace temperature during the tests\u003c/p\u003e","description":"","filename":"13.png","url":"https://assets-eu.researchsquare.com/files/rs-7977357/v1/8229cb755f772cb58ebf56a5.png"},{"id":97144684,"identity":"500e1c1b-0d77-4e6e-8b5a-dc12094fcf8e","added_by":"auto","created_at":"2025-12-01 10:11:38","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":5540921,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7977357/v1/24b28508-dce9-499d-8fb3-748d8b9d172f.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Evaluation of glue joint parameters between wood cellular material and magnesium oxide sheet","fulltext":[{"header":"Introduction","content":"\u003cp\u003eIn modern construction and furniture industries, the demand for lightweight, durable, and fire-resistant composite panels has increased significantly. Growing environmental awareness, stricter building regulations, and the need for efficient material performance have accelerated the development of hybrid composites that combine the favorable mechanical properties of wood-based materials with the thermal stability of inorganic components such as magnesium oxide (MgO). Fire resistance is one of the most critical parameters determining the suitability of such materials for structural and interior applications, including partition walls, door cores, and cladding panels. Fire incidents in buildings demonstrate that the performance of composite materials under elevated temperatures is often the decisive factor in delaying structural failure, providing time for evacuation, and preventing fire spread.\u003c/p\u003e\u003cp\u003eFire resistance testing provides a controlled means of evaluating a material or assembly\u0026rsquo;s ability to withstand fire exposure, maintain structural integrity, and limit heat transfer. In Europe, such performance is primarily assessed according to the EN 13501-2 classification system [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e] and the EN 1363-1 general requirements for fire resistance tests [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. These standards define criteria such as integrity (E), insulation (I), and load-bearing capacity (R). Depending on the application, additional performance factors may be considered - such as radiation control (W) or smoke leakage (S). For wall or door panel systems, typical rating designations are expressed as EI 30, EI 60, or EI 90, indicating the number of minutes a specimen maintains both integrity and insulation before failure. In the United Kingdom, the BS 476 series, particularly Part 20\u0026ndash;22, serves similar purposes [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e], describing methods for determining the fire resistance of non-loadbearing and loadbearing elements. Both BS and EN standards require exposure to a defined time - temperature curve, commonly the ISO 834 standard fire curve [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e], which simulates a fully developed compartment fire with temperatures reaching approximately 945\u0026deg;C at 60 minutes.\u003c/p\u003e\u003cp\u003eDeveloping lightweight composite panels that meet such stringent requirements presents substantial material and design challenges. Traditional timber-based composites, such as plywood, particleboard, and fiber board structures are valued for their low density and good strength-to-weight ratio but are inherently combustible. To improve fire performance, of wood panels, researchers have focused on integrating inorganic skins, flame-retardant additives, and high-temperature-resistant adhesives. MgO-based boards are particularly promising due to their non-combustibility (classified as A1 or A2 under EN 13501-2) [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e], low thermal conductivity, and dimensional stability under heat. When bonded with appropriate adhesives to wood-based cores, MgO sheets can act as a thermal barrier, significantly delaying ignition and charring of the wooden substrate.\u003c/p\u003e\u003cp\u003eHowever, many commercial wood adhesives, including PVA, MUF, EPI, and PUR systems, exhibit varying thermal stability and degradation behavior. For instance, calorimetric analysis in a study have revealed that at lower temperatures (\u0026gt;\u0026thinsp;135\u0026deg;C) can lose more strength but reaching higher (\u0026gt;\u0026thinsp;170\u0026deg;C) temperature PUR can have total loss in strength where EPI would still maintain at least some. [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. Additionally, gluing strength measured by shear tests indicated that PVA glues start to lose strength after 50\u0026deg;C EPI adhesives maintain good thermal stability up to 150\u0026deg;C, while MUF adhesives exhibit high stability in higher temperatures, but PUR shows diverse performance depending whether the system is 1c or 2c sample moisture and another factors. [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. Furthermore, studies have shown that the performance of adhesives under elevated temperatures varies, with some adhesives displaying improved elevated temperature performance compared to others [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. The ability of an adhesive to maintain bond integrity at elevated temperatures is essential for preserving panel cohesion and preventing delamination during fire exposure. Consequently, comparative studies assessing adhesive performance under realistic thermal conditions are vital for designing reliable and safe composite assemblies.\u003c/p\u003e\u003cp\u003ePrevious investigations have explored the fire performance of magnesium oxide (MgO) boards primarily as mechanically fastened linings in steel- or timber-framed wall assemblies [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e] or as mineral-bonded wood composites in which MgO or magnesium oxychloride acts directly as the binder [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. These studies consistently demonstrate the excellent non-combustibility and thermal stability of MgO-based materials but do not examine the behavior of assemblies where MgO boards are adhesively bonded to wood substrates. To date, there is limited experimental evidence on how organic or hybrid adhesive layers influence the integrity of MgO-wood interfaces under direct fire exposure, despite the growing industrial interest in lightweight, glue-bonded hybrid panels. Therefore, the present study aims to fill this gap by evaluating the fire resistance of MgO-wood composite panels bonded with different commercial adhesive systems, identifying how adhesive chemistry and joint configuration affect thermal stability and failure mechanisms during exposure to a controlled ISO 834 time - temperature regime.\u003c/p\u003e"},{"header":"Materials and Methods","content":"\u003cp\u003eFour different adhesive systems were employed for wood\u0026nbsp;composite and magnesium oxide (MgO) 3 mm thick sheet\u0026nbsp;bonding: polyvinyl acetate (PVA) Cascol 3353\u0026nbsp;glue, melamine-urea-formaldehyde (MUF)\u0026nbsp;AkzoNobel MUF system 1242/2542\u0026nbsp;resin, emulsion polymer isocyanate (EPI) AkzoNobel 1920 adhesive combined with hardener 1992\u0026nbsp;adhesive, and polyurethane reactive (PUR) Bison\u0026nbsp;PU max D4\u0026nbsp;glue.\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003ePVA glue is a water-based thermoplastic adhesive consisting\u0026nbsp;primarily of polyvinyl acetate. It was applied directly from the manufacturer\u0026rsquo;s container without dilution. The open assembly time was approximately 5\u0026nbsp;minutes, and the adhesive spread rate was maintained at 250\u0026nbsp;g/m\u0026sup2; on one surface.\u003c/li\u003e\n \u003cli\u003eMUF glue is a thermosetting amino resin produced by the condensation of melamine, urea, and formaldehyde. It was prepared immediately before application by mixing resin and hardener in the manufacturer\u0026rsquo;s recommended ratio (100:20 by weight). The mixture was applied on surface with usage of approximately 220\u0026nbsp;g/m\u0026sup2;, the open assembly time was 5 minutes.\u003c/li\u003e\n \u003cli\u003eEPI glue is a two-component, room-temperature-curing adhesive system consisting of a polyvinyl acetate emulsion and a polymeric isocyanate crosslinker. The components were mixed in a 100:15 ratio by weight, applied at 200 g/m\u0026sup2; on one surface.\u003c/li\u003e\n \u003cli\u003ePUR glue is a moisture-curing one-component polyurethane adhesive. It reacts with ambient moisture to form a thermoset network. The adhesive was applied at 240 g/m\u0026sup2; on surface.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eAll adhesives were used according to the manufacturers\u0026rsquo; technical data sheets to ensure consistent bonding conditions. Two specimen groups were prepared, each containing one sample per glue type (Fig. 1). 3mm thick MgO board with fiberglass reinforcement was cut to 600\u0026acute;600 mm size, 150\u0026acute;150\u0026acute;36 mm cellular wood composite material pieces were prepared, wooden surface was sawn less than 5 hours before the glue application, MgO boards were wiped with dry cloth before application of glue. After application of glue samples were put in hydraulic press and left there for 15 hours. Pressing pressure on wood to MgO board cross section area was 0.2 MPa.\u003c/p\u003e\n\u003cp\u003eDuring testing one specimen was oriented 180 degrees opposite to another so that glue samples that have been in the bottom of the test oven in following test is in the top of oven where its slightly higher temperature.\u003c/p\u003e\n\u003cp\u003eAdditionally, 3 configurations samples were tested in bigger scale of 600\u0026acute;600 mm samples. Panel prototypes were made using same tested gluing technology as before, where samples used PUR glue, one EPI. All three samples had total thickness of 44 mm. the layup of the One EPI and one PUR sample was 38 mm Wood cellular material covered with 3 mm thick MgO glass fiber reinforced sheets. The layup of second PUR sample was 4mm HDF 16 mm Wood Cellular material 3 mm MgO Sheet, 16mm Wood Cellular material 4 mm HDF. The more detailed construction of samples can be seen in the table 1.\u003c/p\u003e\n\u003cp\u003eTable 1 \u003cstrong\u003eBigger size sample layup\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 37px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo.\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGlue\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 481px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLayup\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 37px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003ePUR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 481px;\"\u003e\n \u003cp\u003e3 mm MgO - 38 mm CWM - 3 mm MgO\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 37px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eEPI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 481px;\"\u003e\n \u003cp\u003e3 mm MgO - 38 mm CWM - 3 mm MgO\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 37px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003ePUR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 481px;\"\u003e\n \u003cp\u003e4 mm HDF - 16 mm CWM - 4 mm MgO - 16 mm CWM - 4 mm HDF\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eA simple and affordable testing oven for fire resistance testing using a test chamber constructed from aerated concrete blocks (300\u0026times;200\u0026times;600 mm, dry density 425 kg/m\u003csup\u003e3\u003c/sup\u003e) and heated with a propane torch Sievert PRO 88 with propane consumption approximately 6 kg per hour, was constructed. The test chamber can be seen in Figure 2.\u003c/p\u003e\n\u003cp\u003eFor measuring internal chamber temperatures Stainless steel probe with K-Type Thermocouple rated with maximum measurement range of 1300 \u0026deg;C was used. The chamber pressure could be adjusted by opening and closing the gaps, increasing and decreasing the flow of gas and moving the torch closer or further to the input gap of the chamber allowing the flame to pull with flame, more or less air in the chamber. Chamber pressure was not measured. However, it can be observed by looking at gap at bottom of test sample and seeing if chamber pulls in air or pushes smoke out, in sense of is pressure negative or positive. After first couple attempts at testing in the newly built chamber it was discovered that flame deflector is needed else turbulent high velocity flame burns spot in the test sample, by blowing the protective charcoal layer that forms on wood away. As deflector was employed 120 mm long piece of UPN200 profile. After employing the metal deflector uniform burns could be achieved (Fig. 3).\u003c/p\u003e\n\u003cp\u003eThe system is flexible enough to allow the operator to successfully approximate the ISO 834-1 time - temperature curve by adjusting the flame and vent gap between the blocks. During test as it was impossible with setup to exactly match the temperatures operator tried to keep the temperature in margin diverging maximum of 100 \u0026deg;C above the required temperature. Surface temperatures of the test panels were monitored using infrared (IR) non-contact thermometers (Black and decker BD TLD 100), and surface-mounted generic K-Type thermocouples.\u003c/p\u003e\n\u003cp\u003eFor sealing edges and gaps where center of panel performance was tested two methods of sealing to oven was employed. For bottom gap (and for some gaps for oven) it was found that sand is good material to use (Fig. 4), as it can be removed when needed and applied if needed for example in case if bottom gap has already failed but there is still more data to be gathered about panel. For remaining gaps high temperature sealant can be used, during the testing two brands were used Penosil Premium +1500 \u0026deg;C and Soudal CALOFER +1500 \u0026deg;C.\u003c/p\u003e\n\u003cp\u003eData mathematical calculation of the investigated parameters were done and parameters such as temperature evaluation by time was drawn in graphs. Before tests were done standard temperature curve was predicted by modeling. For the result comparison MS Excel visualization graphs were used.\u003c/p\u003e"},{"header":"Results and Discussion","content":"\u003cp\u003eThe result of fire resistance test is expressed in minutes. In this preliminary test relative performance of four glues in same conditions can be observed. The measured oven temperature compared to standard temperature can be seen in the figure 5.\u003c/p\u003e\n\u003cp\u003eIn both tests runs the glue that failed first was MUF. It failed at 5\u003csup\u003eth\u003c/sup\u003e minute in first test run and in 3\u003csup\u003erd\u003c/sup\u003e minute in 2\u003csup\u003end\u003c/sup\u003e test run. It can be seen, that in second test run the start temperature when the timer got started was initially high, cause both tests were done in succession and oven was still hot and even without applying extra energy from torch temperature in oven raised significantly as soon as test sample was put in oven. Failure of the test sample had 2 significant steps. First it could be seen that sample starts to separate off the base. And then falls off leaving glue both on base panel and on wood sample. Therefore, it can be concluded that failure happened inside glue joint. Typical failure steps of MUF glue sample can see in Figure 6.\u003c/p\u003e\n\u003cp\u003ePVA Glue sample had radically different performance between both test runs. In first test PVA glue sample withstood 20 minutes and fell of the base only when was touched with test probe. In this test run sample was located at bottom of test oven and test oven had cold start. The case could be made that this was the contributing factor for success of this sample. Why this might not be true is the fact that sample surface temperature was monitored and sample that failed sooner had at least 2 times lower surface temperature (Table 2) than sample that didn\u0026rsquo;t fail.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" width=\"536\" height=\"586\"\u003e\u003c/p\u003e\n\u003cp\u003eThe lower performing sample that withstood roughly 8 minutes is how Polyvinyl Acetate adhesive would be expected to perform. Since PVA generally perform poorly at elevated temperatures due to their thermoplastic properties and low thermal stability. PVA begins to soften at approximately 70 to 100 \u0026deg;C and decomposes at 200 to 250 \u0026deg;C, releasing acetic acid and flammable gases. This causes a rapid loss of joint integrity what was seen in the test run 2. The excellent performance seen in test run 1 is interesting example how multiple factors can influence test result yielding unexpected result.\u003c/p\u003e\n\u003cp\u003eIn both tests run PUR samples up to ignition performed of similarly. \u0026nbsp;The sample drop off time was 16 minutes and 18 minutes respectively. Interestingly at this time if samples are compared via temperature in oven it can be seen, that for sample that performed better the temperature in oven was slightly lower. Interesting observation was that PUR Excess glue around sample ignited and burned before the sample outer most surface reached 90 \u0026deg;C. Typical sequence of events was Glue colors brown then black and then sample is being burned off until it\u0026rsquo;s charred enough to fall off the MgO base. In the images below (Fig. 8.) Sequence of the characteristic events in the burning process of PUR sample can be seen.\u003c/p\u003e\n\u003cp\u003eEPI Glue samples were best performing, they lasted to 20 and 21 minutes on the MgO base (Fig. 9). When the cellular material piece fell off sample was severely burned. Also, what was different from PUR case was that ignition didn\u0026rsquo;t seem to come from glue, but rather from material. Another thing that confirms this is the fact that surface temperature of test piece at time of ignition was 120 and 108 \u0026deg;C where for another glue types surface (furthest away from oven chamber) temperature of sample was e.g. \u0026nbsp;PUR sample started to burn when Wood surface temperature was between 80 and 95 \u0026deg;C. Also, just visually It could be seen that epi contributes very little to flame, compared to look of another glue types.\u003c/p\u003e\n\u003cp\u003eWe can safely conclude that EPI performed the best and PUR was close runner up. Therefore, further samples were made of those two glues.\u003c/p\u003e\n\u003cp\u003eFirst the hypothesis was that if we cover CWM with MgO panels, the result will be excellent fire resistant and stable door panel. So, two samples of Sample Type 1 one using vacuum press another using hydraulic press. Was made. \u0026nbsp;After testing vacuum pressed sample, while still reaching 32-minute mark and failing by reaching average surface temperature requirement it was seen that at around 10-minute mark the inside layer of MgO completely fell off (can be seen in bottom left picture of Figure 10. Since the MgO sheet fell off so quickly. And it was thought that vacuum pressing is issue. The sample was made using hydraulic pressing and same glue, but also for that sample the MgO sheet started to fall off just before minute 10 mark. Both pressing types of glue in hot side holding the MgO board failed much sooner than when tested previously.\u003c/p\u003e\n\u003cp\u003eThen the same sample was made using EPI glue and vacuum pressing (sample type 2). \u0026nbsp;But Results were very similar. At around minute 8 in test it can be seen, that hot side MgO board splits away (Fig.11). By minute 10 the MgO board is completely separated. And slightly falls in the oven making around 5 mm gap to the door panel. At minute 13 test is stopped cause glue failed. By minute 15 flame shows (test failed) on sides of sample caused by the fact that burn products from the panel has nowhere to escape so they don\u0026rsquo;t escape thru oven but pushes thru any gap that can be found near panel.\u003c/p\u003e\n\u003cp\u003eThe reason why the glue joint fails relatively rapidly in this setup the glue needs to work and connect two very different materials in very high temperature. Now the first glue joint is working in temperature what is in the oven. Cause layer that has best insulative properties is on cold side, so the joint temperature is very near to the oven temperature. And the glue or the surface of wood that rapidly changes into coal fails structurally. So, the next logical thing is to protect the glue joint that connects the MgO and Wood from heat. In simple terms. move it in the center of door panel.\u003c/p\u003e\n\u003cp\u003eThe Sample type 3 was constructed. PUR glue pressed in vacuum press was chosen because it was carpenters competence that it is easier to work with and its more available and therefore more popular (at least in nearby area). \u0026nbsp;The Burn behavior of this sample was certainly different from previous samples, since it has surface material that burns and smokes once surface temperature went past 120 \u0026deg;C it started to smoke significantly. The panel Didn\u0026rsquo;t lose its mechanical integrity even when it was significantly charring on \u0026ldquo;cold\u0026rdquo; side. Another interesting behavior that was noticed was that \u0026ldquo;cold side\u0026rdquo; telegraphed the CWM layer structure onto the outside HDF surface. Well before reaching 100 \u0026deg;C temperature, Hypothesis was made that since water and other gases and evaporated products cant escape to furnace side where they are blocked by MgO sheet, now they escape thru HDF, making HDF more humid. The test was deemed failed when first red hot coal was noticed on panel (Fig. 12 c), \u0026nbsp; most picture is taken about 30 sec after 1\u003csup\u003est\u003c/sup\u003e coal was noticed.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe required standard temperature and measured furnace temperature during the tests can be seen in the Figure13. Since the gas flow is regulated manually it can be seen that its quite hard to precisely hit the right temperature when around minute 8 the standard temperature changes trajectory. \u0026nbsp;Sample Type 3 withstood the Fire resistance requirements in this simplified fire resistance test for 39 minutes and more importantly for this reduced size test the panel didn\u0026rsquo;t lose layers or integrity in glue joints and stood uniformly from test start till almost the test end.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eSince the gas flow is regulated manually it can be seen that its quite hard to precisely hit the right temperature when around minute 8 the standard temperature changes trajectory. \u0026nbsp;Sample Type 3 withstood the Fire resistance requirements in this simplified fire resistance test for 39 minutes and more importantly for this reduced size test the panel didn\u0026rsquo;t lose layers or integrity in glue joints and stood uniformly from test start till almost the test end.\u003c/p\u003e\n\u003cp\u003eMgO and wood composites show great promise, there are prototype studies and laboratory developments that show that MgO-type panels can provide excellent fire protection when manufactured with intumescent or mineral binders or used as sandwich linings in door assemblies [12-13]. However, these works produce MgO panels by mineral/ intumescent binders or treat MgO as mechanically fixed lining within a door frame. Compared with organic thermoset adhesives such as PUR, mineral or intumescent binders provide inherently superior fire stability and non-combustibility, forming protective ceramic residues instead of decomposing. However, their brittleness and limited adhesion to lignocellulosic substrates constrain their use for bonded hybrid panels. Consequently, understanding the potential of simple to use organic adhesives, such as PUR, EPI, MUF, or PVA to perform in contact with thermally stable MgO surfaces under elevated temperatures remains a key research gap. Current work which explicitly examines MgO-wood assemblies where the MgO skin is bonded to cellular wood cores with common commercial adhesives and then exposed to controlled fire tests indicates the possibility to potentially much more simple and therefore more widespread production of MgO-wood panels. To expand and continue the work next step would be to design specific optimal layups for targeted required fire resistance ratings e.g. REI30 and REI60.\u003c/p\u003e"},{"header":"Conclusions","content":"\u003col\u003e\n \u003cli\u003eBased on limited tests that were done it can be concluded that both PUR and EPI glues can be used to connect wood and MgO sheets.\u003c/li\u003e\n \u003cli\u003eBased on larger scale tests it was found that glue joint location where two different materials are joined should be kept protected, therefore if goal is to create symmetric panel cross section the best location for MgO sheet is in the center of panel.\u003c/li\u003e\n \u003cli\u003eTemperature curves does not follow directly the standard temperature, therefore precise fire resistance rating with manually controlled test oven cannot be tested. To make oven temperature follow more closely to the standard temperature PID control on gas valve should be connected with oven temperature sensor.\u003c/li\u003e\n \u003cli\u003eAtmosphere within the oven chamber can be fuel rich and it can be air rich, if oven is fuel rich, panel can deteriorate slower, if atmosphere is oxygen rich, panel can deteriorate sooner. When testing only sample that had burnable material on oven side, torch was placed in a way so it pulls as much fresh air as possible, and it was judged by looking at smoke more air, means less smoke from oven, less air it burns more fuel rich and its more smoke. But what is perfect amount of fuel and air in oven chamber remains open question and how would be best to measure it.\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eFunding Statement:\u0026nbsp;\u003c/strong\u003eThis research was conducted within the Latvian State research program project No. VPP-ZM-VRIIILA-2024/2-0002 “Innovation in Forest Management and Value Chain for Latvia's Growth: New Forest Services, Products and Technologies (Forest4LV)”.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor Contributions:\u0026nbsp;\u003c/strong\u003eThe authors confirm contribution to the paper as follows:\u0026nbsp;\u003c/p\u003e\n\u003cp\u003econceptualization, Rihards Roziņš, Uldis Spulle, Edgars Bukšāns and Edvīns Grants; methodology, Rihards Roziņš, Uldis Spulle; validation, Rihards Roziņš and Uldis Spulle; formal analysis, Rihards Roziņš, Edgars Bukšāns and Edvīns Grants; investigation, Rihards Roziņš and Uldis Spulle; resources, Rihards Roziņš, and Uldis Spulle; data curation, Rihards Roziņš, Edgars Bukšāns and Edvīns Grants; writing-original draft preparation, Rihards Roziņš and Uldis Spulle; writing-review and editing, Rihards Roziņš, Uldis Spulle, Edgars Bukšāns and Edvīns Grants; visualization, Rihards Roziņš, Uldis Spulle and Edgars Bukšāns; supervision, Uldis Spulle, Edgars Bukšāns and Edvīns Grants; project administration, Uldis Spulle; funding acquisition, Rihards Roziņš and Uldis Spulle. All authors reviewed the results and approved the final version of the manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics, Consent to Participate, and Consent to Publish declarations\u003c/strong\u003e: not applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting Interests:\u003c/strong\u003e not applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData availability statement:\u003c/strong\u003e the datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.\u003c/p\u003e"},{"header":"References ","content":"\u003col\u003e\n\u003cli\u003eEN 13501-2:2016. Fire classification of construction products and building elements\u0026mdash;Part 2: Classification using data from fire resistance tests, excluding ventilation services.\u003c/li\u003e\n\u003cli\u003eEN 1363-1:2020. Fire resistance tests\u0026mdash;Part 1: General requirements.\u003c/li\u003e\n\u003cli\u003eISO 834-1:1999. Fire-resistance tests\u0026mdash;Elements of building construction\u0026mdash;Part 1: General requirements.\u003c/li\u003e\n\u003cli\u003eBS 476-22:1987. Fire tests on building materials and structures\u0026mdash;Part 22: Methods for determination of the fire resistance of non-loadbearing elements of construction.\u003c/li\u003e\n\u003cli\u003eRusthi, M., Ariyanayagam, A., Mahendran, M., Keerthan, P. Fire tests of Magnesium Oxide board lined light gauge steel frame wall systems. Fire Safety Journal, Volume 90, 2017., https://doi.org/10.1016/j.firesaf.2017.03.004\u003c/li\u003e\n\u003cli\u003eSteau, E., Mahendran M., Poologanathan K. Experimental study of fire resistant board configurations under standard fire conditions, Fire Safety Journal, Volume 116, 2020., https://doi.org/10.1016/j.firesaf.2020.103153\u003c/li\u003e\n\u003cli\u003eZhou W., Ye Q., Q. Shi ., Fang Z., Gao Q., Li J. A strong magnesium oxychloride cement wood adhesive via organic\u0026ndash;inorganic hybrid, Construction and Building Materials, Volume 297, 2021., https://doi.org/10.1016/j.conbuildmat.2021.123776\u003c/li\u003e\n\u003cli\u003eShalbafan, A. and Thoemen, H. Development of Mineral-Bonded Plywood with Magnesium Oxychloride as a Binder Using the Hot-Pressing Process. Polymers (Basel). 15(4):805, 2023., https://doi.org/10.3390/polym15040805\u003c/li\u003e\n\u003cli\u003eVaněrek, J., B\u0026aacute;lkov\u0026aacute;, R., \u0026Scaron;mak, M., Běť\u0026aacute;k, A., Vejpustek Z. The effect of long and short term elevated temperatures on the behaviour of lap glued joints of load-bearing spruce elements, International Journal of Adhesion and Adhesives, Volume 129, 2024., https://doi.org/10.1016/j.ijadhadh.2023.103575\u003c/li\u003e\n\u003cli\u003eClau\u0026szlig;, S., Joscak, M., and Niemz, P. Thermal stability of glued wood joints measured by shear tests. European Journal of Wood and Wood Products, 69(1), 2010., https://doi.org/10.1007/s00107-010-0411-4\u003c/li\u003e\n\u003cli\u003eBernaczyk, A., Wagenf\u0026uuml;hr, A., Terfloth, C., Lincke, J., Krystofiak, T., Niemz, P. Investigations into the Influence of Temperature on the Tensile Shear Strength of Various Adhesives. Materials. 2023., https://doi.org/10.3390/ma16186173\u003c/li\u003e\n\u003cli\u003eKhalid, M. H., Abd Rahman, R., Abdul Latif, H., \u0026amp; Yahya, M. N. (2018). Prototyping and Performance Evaluation of Fire Rated Acoustic Door. International Journal of Integrated Engineering, 10(4). https://doi.org/10.30880/ijie.2018.10.04.002\u003c/li\u003e\n\u003cli\u003eYew, M. C., Yew, M. K., \u0026amp; Yuen, R. K. K. (2023). Experimental Analysis of Lightweight Fire-Rated Board on Fire Resistance, Mechanical, and Acoustic Properties. Fire, 6(6), 221. https://doi.org/10.3390/fire6060221\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"discover-materials","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"dime","sideBox":"Learn more about [Discover Materials](https://www.springer.com/journal/43939)","snPcode":"","submissionUrl":"","title":"Discover Materials","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Discover Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"wood cellular material, fire resistance, wood glues","lastPublishedDoi":"10.21203/rs.3.rs-7977357/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7977357/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe increasing demand for lightweight, durable, and fire-resistant construction materials has led to the development of hybrid composites combining wood-based cores with mineral- nonorganic skin sheets. This study evaluates the performance of adhesive joints between wood cellular materials and magnesium oxide (MgO) sheets under elevated temperature exposure. Four industrial adhesive systems: polyvinyl acetate (PVA), melamine-urea-formaldehyde (MUF), emulsion polymer isocyanate (EPI), and polyurethane reactive (PUR) were tested to determine their fire resistance and thermal stability. A custom-built small-scale fire testing chamber, designed to approximate the ISO 834 standard time-temperature curve, was employed to assess joint integrity and panel performance.\u003c/p\u003e\u003cp\u003eResults showed that MUF adhesives failed within the first 5 minutes, while PVA exhibited highly variable results due to its thermoplastic nature. PUR and EPI adhesives demonstrated significantly better performance, maintaining structural integrity up to 18 and 21 minutes, respectively, under equivalent thermal exposure. Larger-scale composite panel tests confirmed that relocating the MgO-wood adhesive interface toward the panel center improved cohesion and delayed delamination, achieving sustained integrity for up to 39 minutes. The findings highlight the importance of adhesive type, joint placement, and controlled testing environments in optimizing the fire performance of wood-MgO composites. The research provides practical insights for developing lightweight, fire-resistant panels suitable for doors, partitions, and other interior structural applications.\u003c/p\u003e","manuscriptTitle":"Evaluation of glue joint parameters between wood cellular material and magnesium oxide sheet","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-11-27 18:06:33","doi":"10.21203/rs.3.rs-7977357/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2026-01-16T12:21:20+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-12-05T11:25:07+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"251172228641251924069186047593746038117","date":"2025-11-26T09:02:16+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-11-24T03:51:37+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"121009979687318838469239328061864306852","date":"2025-11-23T07:26:40+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-11-21T07:13:47+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2025-11-19T15:27:57+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-11-10T12:30:44+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-11-09T09:07:43+00:00","index":"","fulltext":""},{"type":"submitted","content":"Discover Materials","date":"2025-11-09T09:04:43+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"discover-materials","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"dime","sideBox":"Learn more about [Discover Materials](https://www.springer.com/journal/43939)","snPcode":"","submissionUrl":"","title":"Discover Materials","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Discover Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"b270b9f9-030b-4567-90e4-ea254f8c1608","owner":[],"postedDate":"November 27th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2026-05-11T16:38:12+00:00","versionOfRecord":[],"versionCreatedAt":"2025-11-27 18:06:33","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7977357","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7977357","identity":"rs-7977357","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}