An experimental study on Avocado oil-based TiO 2 cutting fluid for Minimum Quantity Lubrication in milling of AISI 4130 steel

preprint OA: closed CC-BY-4.0
📄 Open PDF Full text JSON View at publisher
AI-generated deep summary by claude@2026-07, 2026-07-06 · read from full text

The preprint studied an avocado oil–based cutting fluid containing TiO2 nanoparticles dispersed in avocado oil–immersed water at different concentrations, evaluating its thermal conductivity, density, pH, viscosity, and stability. The authors tested performance in milling AISI 4130 steel using a minimum quantity lubrication (MQL) setup, running 27 experiments arranged with Taguchi’s orthogonal array and optimizing responses via Taguchi-based Grey Relational Analysis. Increasing TiO2 concentration enhanced viscosity and thermal conductivity, and the optimized condition improved material removal rate, surface roughness, tool wear rate, and cutting temperature compared with dry and flood conditions, with ANOVA indicating significant parameters and interactions among cutting fluid composition, speed, feed rate, and depth of cut. The study is explicitly a preprint and not peer reviewed, which limits confidence in its findings; it does not explicitly discuss endometriosis or adenomyosis, and it was included in the corpus via a keyword match in the upstream search index.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Abstract

Abstract In machining operation, cutting fluid serves a great role through lubricating and cooling the work-tool interface and cleaning chips from the machining zone. Consequently, the tribological state at the interfaces is affected by a cutting fluid. However, conventional cutting fluids negatively affect the machining environment by excess use and reduced quality. This has given rise to a new kind of cutting fluid with good thermo-physical properties to reduce excessive use in machining. In this work, a cutting fluid is formed by dispersing TiO2 nanoparticles into avocado oil-immersed water at different concentrations. The prepared cutting fluid is characterized by its thermal conductivity, density, pH value, viscosity, and stability. Moreover, its performance is evaluated in the milling of AISI 4130 steel by preparing the minimum quantity lubrication (MQL) setup. A total of 27 machining experiments were done based on Taguchi’s orthogonal array. The experimental work revealed that the increase in the TiO2 concentration in the base liquid enhanced its viscosity and thermal conductivity. Average enhancements of 61.98% and 48.2% are obtained in terms of viscosity and thermal conductivity respectively than the previously used cutting fluid. The performance of the optimized parameters by using Taguchi-based Grey Relational Analysis showed improvement of 9.412%, 9.21%, 26.087%, and 6.477% in terms of material removal rate (MRR), surface roughness (Ra), tool wear rate (Vb), and temperature respectively. A 17.2% and 91.48% improvement in Ra, 77.87% and 63.52% in temperature are achieved than the dry and flood conditions respectively. The Analysis of Variance (ANOVA) results showed the selected parameters are significant with the consistent interactions among cutting fluid composition, speed, feed rate, and depth of cut (DOC) for the responses. Correctly chosen composition of cutting fluid and machining parameters with the MQL condition can enhance its properties and improve the machining performances.
Full text 11,839 characters · extracted from preprint-html · click to expand
An experimental study on Avocado oil-based TiO 2 cutting fluid for Minimum Quantity Lubrication in milling of AISI 4130 steel | 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 An experimental study on Avocado oil-based TiO 2 cutting fluid for Minimum Quantity Lubrication in milling of AISI 4130 steel Temesgen Gelaneh, Semegn Cheneke, Betelhem Asefa This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7137059/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract In machining operation, cutting fluid serves a great role through lubricating and cooling the work-tool interface and cleaning chips from the machining zone. Consequently, the tribological state at the interfaces is affected by a cutting fluid. However, conventional cutting fluids negatively affect the machining environment by excess use and reduced quality. This has given rise to a new kind of cutting fluid with good thermo-physical properties to reduce excessive use in machining. In this work, a cutting fluid is formed by dispersing TiO 2 nanoparticles into avocado oil-immersed water at different concentrations. The prepared cutting fluid is characterized by its thermal conductivity, density, pH value, viscosity, and stability. Moreover, its performance is evaluated in the milling of AISI 4130 steel by preparing the minimum quantity lubrication (MQL) setup. A total of 27 machining experiments were done based on Taguchi’s orthogonal array. The experimental work revealed that the increase in the TiO 2 concentration in the base liquid enhanced its viscosity and thermal conductivity. Average enhancements of 61.98% and 48.2% are obtained in terms of viscosity and thermal conductivity respectively than the previously used cutting fluid. The performance of the optimized parameters by using Taguchi-based Grey Relational Analysis showed improvement of 9.412%, 9.21%, 26.087%, and 6.477% in terms of material removal rate (MRR), surface roughness (Ra), tool wear rate (Vb), and temperature respectively. A 17.2% and 91.48% improvement in Ra, 77.87% and 63.52% in temperature are achieved than the dry and flood conditions respectively. The Analysis of Variance (ANOVA) results showed the selected parameters are significant with the consistent interactions among cutting fluid composition, speed, feed rate, and depth of cut (DOC) for the responses. Correctly chosen composition of cutting fluid and machining parameters with the MQL condition can enhance its properties and improve the machining performances. TiO2 Avocado oil MQL Nano-cutting fluid ANOVA Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-7137059","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":488857893,"identity":"def4559f-2bb4-451c-9b86-b832961a5ef7","order_by":0,"name":"Temesgen Gelaneh","email":"","orcid":"","institution":"Wolaita Sodo University","correspondingAuthor":false,"prefix":"","firstName":"Temesgen","middleName":"","lastName":"Gelaneh","suffix":""},{"id":488857894,"identity":"1430d511-3b17-42fc-909a-e462dbd7583b","order_by":1,"name":"Semegn Cheneke","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA+ElEQVRIiWNgGAWjYBCDBCBmZmCoAFHMDaRoOQOiGEnRwtgGYhPQIt/enfjw6w67PH7p5sMGH+fVRvO3A7X8qNiGU4vBmbObjWXPJBdLzjmWnDhz2/HcGYcZGxh7ztzGrUUid5u0ZNuBxA03cowP8247ltsA1MLM2IZbi/z8t9t/g7Tsv5H/+fDfOcdy5xPSwnCDdxvjR5AtEjnMyYwNNbkbCGkxOJO7WZqxLTlxxo00Y8OeYwdyNwK1HMTnF/n2sxs//myzS+yfkfxY4kdNXe6884cPPvhRgcdhQMDMg2AfBpMH8KoHAsYfCHYdIcWjYBSMglEwAgEAM0Fi/TS2lSYAAAAASUVORK5CYII=","orcid":"","institution":"Ethiopian Defense University","correspondingAuthor":true,"prefix":"","firstName":"Semegn","middleName":"","lastName":"Cheneke","suffix":""},{"id":488857895,"identity":"8c75e8a0-4609-4d14-92d3-d706b23e6dc1","order_by":2,"name":"Betelhem Asefa","email":"","orcid":"","institution":"Wolaita Sodo University","correspondingAuthor":false,"prefix":"","firstName":"Betelhem","middleName":"","lastName":"Asefa","suffix":""}],"badges":[],"createdAt":"2025-07-16 07:38:18","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7137059/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7137059/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":88544389,"identity":"6c8c33f8-ff27-434c-b3a4-b18b2d89712f","added_by":"auto","created_at":"2025-08-07 14:17:04","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":871800,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7137059/v1_covered_e6fcf1e5-1737-4b2f-bb8a-e2c7c2317895.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"An experimental study on Avocado oil-based TiO 2 cutting fluid for Minimum Quantity Lubrication in milling of AISI 4130 steel","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"TiO2, Avocado oil, MQL, Nano-cutting fluid, ANOVA","lastPublishedDoi":"10.21203/rs.3.rs-7137059/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7137059/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eIn machining operation, cutting fluid serves a great role through lubricating and cooling the work-tool interface and cleaning chips from the machining zone. Consequently, the tribological state at the interfaces is affected by a cutting fluid. However, conventional cutting fluids negatively affect the machining environment by excess use and reduced quality. This has given rise to a new kind of cutting fluid with good thermo-physical properties to reduce excessive use in machining. In this work, a cutting fluid is formed by dispersing TiO\u003csub\u003e2\u003c/sub\u003e nanoparticles into avocado oil-immersed water at different concentrations. The prepared cutting fluid is characterized by its thermal conductivity, density, pH value, viscosity, and stability. Moreover, its performance is evaluated in the milling of AISI 4130 steel by preparing the minimum quantity lubrication (MQL) setup. A total of 27 machining experiments were done based on Taguchi\u0026rsquo;s orthogonal array. The experimental work revealed that the increase in the TiO\u003csub\u003e2\u003c/sub\u003e concentration in the base liquid enhanced its viscosity and thermal conductivity. Average enhancements of 61.98% and 48.2% are obtained in terms of viscosity and thermal conductivity respectively than the previously used cutting fluid. The performance of the optimized parameters by using Taguchi-based Grey Relational Analysis showed improvement of 9.412%, 9.21%, 26.087%, and 6.477% in terms of material removal rate (MRR), surface roughness (Ra), tool wear rate (Vb), and temperature respectively. A 17.2% and 91.48% improvement in Ra, 77.87% and 63.52% in temperature are achieved than the dry and flood conditions respectively. The Analysis of Variance (ANOVA) results showed the selected parameters are significant with the consistent interactions among cutting fluid composition, speed, feed rate, and depth of cut (DOC) for the responses. Correctly chosen composition of cutting fluid and machining parameters with the MQL condition can enhance its properties and improve the machining performances.\u003c/p\u003e","manuscriptTitle":"An experimental study on Avocado oil-based TiO 2 cutting fluid for Minimum Quantity Lubrication in milling of AISI 4130 steel","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-07-23 11:36:33","doi":"10.21203/rs.3.rs-7137059/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"eaa1957e-81d0-4506-8f07-d7833960033d","owner":[],"postedDate":"July 23rd, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-08-07T14:08:51+00:00","versionOfRecord":[],"versionCreatedAt":"2025-07-23 11:36:33","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7137059","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7137059","identity":"rs-7137059","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall
last seen: 2026-05-24T02:00:01.246996+00:00
License: CC-BY-4.0