Equivalent heat transfer modeling for poplar fiber clusters based on thermography

Equivalent heat transfer modeling for poplar fiber clusters based on thermography | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Equivalent heat transfer modeling for poplar fiber clusters based on thermography Chunmei Yang, Tongbin Liu, Yaqiang Ma, Zanbin Zhu, Jie Yan, Wen Qu, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2850090/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 20 Sep, 2023 Read the published version in Cellulose → Version 1 posted 4 You are reading this latest preprint version Abstract Poplar fiber mass is a non-uniform medium that is composed of discrete microelements making it an imperative raw material in the production of ultra-thin high-density wood fiberboards. Preheating, therefore, becomes a crucial process in producing ultra-thin boards from poplar fiber masses. This study aims to investigate the thermal conductivity properties of wood fiber pellets with the objective of guiding the process parameters in the preheating section.Basic size and composition of poplar fiber masses were observed using an optical microscope. Measured parameters such as bark content and stacking density were combined with observations to establish the heat transfer unit of poplar fiber masses which were then used to develop a one-dimensional equivalent heat transfer model.The steady-state images of the surface layer of poplar fiber masses were captured under different parameters using infrared thermography. The results indicated that the relationships between thickness, density, and moisture content were negatively correlated with surface layer temperature, while the relationships between bottom heating temperature and surface layer temperature were positively correlated. From these findings, the surface layer temperature of poplar fiber mass was derived, and equivalent thermal conductivity as well as convective heat transfer coefficients were solved.Simulation results showed that the average error of the equivalent heat transfer model of poplar fiber mass was 1.584 indicating that the model is usable. This study contributes to efficient simulation of steady-state heat transfer in wood fiber masses, and could be useful in guiding decision-making processes in the preheating section of ultra-thin high-density fiberboard production. Poplar fiber heat transfer properties equivalent heat transfer model infrared thermography ultra-thin fiberboard heat transfer simulation Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 20 Sep, 2023 Read the published version in Cellulose → Version 1 posted Editorial decision: Major revision 25 Apr, 2023 Editor assigned by journal 25 Apr, 2023 Submission checks completed at journal 25 Apr, 2023 First submitted to journal 23 Apr, 2023 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. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-2850090","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":194922418,"identity":"cbebb5ee-886a-4043-a981-c247ffb9b006","order_by":0,"name":"Chunmei Yang","email":"","orcid":"","institution":"Northeast Forestry University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Chunmei","middleName":"","lastName":"Yang","suffix":""},{"id":194922420,"identity":"4dd56ac2-70d0-4b28-a19e-b2f8513dfcdc","order_by":1,"name":"Tongbin Liu","email":"","orcid":"","institution":"Northeast Forestry 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