Optimization and Modeling of the Sustainable Manufacturing Process in CNC Turning of Titanium alloy (Ti6Al4V)

Optimization and Modeling of the Sustainable Manufacturing Process in CNC Turning of Titanium alloy (Ti6Al4V) | 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 Optimization and Modeling of the Sustainable Manufacturing Process in CNC Turning of Titanium alloy (Ti6Al4V) Sushil V Ingle, D N Raut, Amit S Patil This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4042468/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 3 You are reading this latest preprint version Abstract Cutting titanium and titanium alloys are very difficult to machined, hence quite challenging. The metal's mechanical, chemical, and physical characteristics can account for it. The material properties like elevated chemical reactivity with less thermal conductivity make titanium and titanium alloys excellent candidates for use as cutting tool materials. The temperature at a tool's cutting edge rises because of its poor heat conductivity. Additionally, titanium alloys' poor machinability is caused by bad modulus of elasticity and strong strength at elevated temperatures [1–14]. Due to its lower elasticity modulus than steel, titanium exhibits higher "springiness." Under pressure from the tool, thin parts frequently deflect, leading to issues like tolerance, chatter and tool rubbing. The tool should be appropriately formed and the overall system should be highly stiff (very sharp). The total absence of a "built-up edge," which results in a elevated shearing angle, is following crucial characteristic in titanium with titanium alloys (absence of a constant mass of metal ahead of the cutting tool). This increases more bearing loads on each unit area and thin chips contacting a very small portion of cutting tool face. Due to the strong bearing force and friction created by the chip, a very specific portion of the cutting tool becomes extremely hot. Typically, components requiring the highest dependability are made of titanium and titanium alloys, therefore surface properties must be preserved. Surface features of the component, such as surface finish and shape, as well as sub-surface properties, such as residual stress, granular plastic flow direction, and surface defects, have vital impact on machining performance of machined parts (porosity, micro-cracks, etc.). The surface polish and integrity attained following machining determine surface quality of machined parts [1–14]. The Taguchi optimization approach is taken for evaluation and prediction in the research area, which concentrates on the ideal CNC cutting conditions for turning titanium alloy (Ti6Al4V). Cutting velocity (v), feed rate (f), DOC (d), with rake angle (RA) were chosen as input process variables in turning process, while flank wear (Vb), tool life and surface finish (Ra) were taken into consideration as performance evaluation features. For conducting the tests, the Taguchi L25 orthogonal array (OA) experimental design plan was taken into consideration. According to the outcomes of the conformation tests, the Taguchi analysis that revealed the ideal process parameters greatly enhanced the turning performance when machining titanium alloy (Ti6Al4V). The ANOVA findings showed that rake angle and depth of cut significantly affected turning performance in terms of Vb and Ra. Titanium alloy (Ti6Al4V) Taguchi method Optimization ANOVA Modeling Sustainable manufacturing process Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editor assigned by journal 26 Mar, 2024 Submission checks completed at journal 25 Mar, 2024 First submitted to journal 08 Mar, 2024 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-4042468","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":284166273,"identity":"19a81f03-5c2c-4605-bc79-b4a101500289","order_by":0,"name":"Sushil V Ingle","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA00lEQVRIiWNgGAWjYBACNgYGxgMgBj+ISCggTgsDWItkA0iLAZE2gbUYQEgilPNJt1848IGhLnHz+dWJHx4YMMjzix0g4DCZMwUHZzAcTtx24+1mCaDDDGfOTiCgRSIn4TAPwwFjsxtnN4C0JBjcJkbLH4Y6Y+MZZzf/IFJL+oHDDAzMcgb8vduItoXhYI/BYTmJG7zbLBIMJAj7RX5G+sMHPyrqePj7z26++aPCRp5fmoAWBgYeA0h0SIBVShBSDgLsDyA0/wFiVI+CUTAKRsFIBAD3i0NkF56ljQAAAABJRU5ErkJggg==","orcid":"","institution":"MET”s Institute of Engg","correspondingAuthor":true,"prefix":"","firstName":"Sushil","middleName":"V","lastName":"Ingle","suffix":""},{"id":284166274,"identity":"ac5411a2-f92e-46a3-80b7-ccb1c8f03166","order_by":1,"name":"D N Raut","email":"","orcid":"","institution":"VJTI , Matunga(E)","correspondingAuthor":false,"prefix":"","firstName":"D","middleName":"N","lastName":"Raut","suffix":""},{"id":284166275,"identity":"deb94c6b-9531-4449-9e75-6f2910a052c6","order_by":2,"name":"Amit S Patil","email":"","orcid":"","institution":"MET”s Institute of Engg","correspondingAuthor":false,"prefix":"","firstName":"Amit","middleName":"S","lastName":"Patil","suffix":""}],"badges":[],"createdAt":"2024-03-08 11:11:09","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4042468/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4042468/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":53666002,"identity":"d4fcc5c0-356d-4aac-8d06-599a64c04eb7","added_by":"auto","created_at":"2024-03-28 16:54:37","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":851624,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscriptwithauthordetails11.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4042468/v1_covered_4843511b-d477-43ec-9fc3-9e89770bed33.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Optimization and Modeling of the Sustainable Manufacturing Process in CNC Turning of Titanium alloy (Ti6Al4V)","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":false,"email":"[email protected]","identity":"optimization-and-engineering","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"","sideBox":"","snPcode":"11081","submissionUrl":"https://submission.nature.com/new-submission/11081/3","title":"Optimization and Engineering","twitterHandle":"","acdcEnabled":false,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Titanium alloy (Ti6Al4V), Taguchi method, Optimization, ANOVA, Modeling, Sustainable manufacturing process","lastPublishedDoi":"10.21203/rs.3.rs-4042468/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4042468/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Cutting titanium and titanium alloys are very difficult to machined, hence quite challenging. The metal's mechanical, chemical, and physical characteristics can account for it. The material properties like elevated chemical reactivity with less thermal conductivity make titanium and titanium alloys excellent candidates for use as cutting tool materials. The temperature at a tool's cutting edge rises because of its poor heat conductivity. Additionally, titanium alloys' poor machinability is caused by bad modulus of elasticity and strong strength at elevated temperatures [1–14]. Due to its lower elasticity modulus than steel, titanium exhibits higher \"springiness.\" Under pressure from the tool, thin parts frequently deflect, leading to issues like tolerance, chatter and tool rubbing. The tool should be appropriately formed and the overall system should be highly stiff (very sharp). The total absence of a \"built-up edge,\" which results in a elevated shearing angle, is following crucial characteristic in titanium with titanium alloys (absence of a constant mass of metal ahead of the cutting tool). This increases more bearing loads on each unit area and thin chips contacting a very small portion of cutting tool face. Due to the strong bearing force and friction created by the chip, a very specific portion of the cutting tool becomes extremely hot. Typically, components requiring the highest dependability are made of titanium and titanium alloys, therefore surface properties must be preserved. Surface features of the component, such as surface finish and shape, as well as sub-surface properties, such as residual stress, granular plastic flow direction, and surface defects, have vital impact on machining performance of machined parts (porosity, micro-cracks, etc.). The surface polish and integrity attained following machining determine surface quality of machined parts [1–14].\nThe Taguchi optimization approach is taken for evaluation and prediction in the research area, which concentrates on the ideal CNC cutting conditions for turning titanium alloy (Ti6Al4V). Cutting velocity (v), feed rate (f), DOC (d), with rake angle (RA) were chosen as input process variables in turning process, while flank wear (Vb), tool life and surface finish (Ra) were taken into consideration as performance evaluation features. For conducting the tests, the Taguchi L25 orthogonal array (OA) experimental design plan was taken into consideration. According to the outcomes of the conformation tests, the Taguchi analysis that revealed the ideal process parameters greatly enhanced the turning performance when machining titanium alloy (Ti6Al4V). 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