Experimental Study of Effects of Machining Parameters on Cast Iron by Slot Milling Operation

Experimental Study of Effects of Machining Parameters on Cast Iron by Slot Milling Operation | 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 Experimental Study of Effects of Machining Parameters on Cast Iron by Slot Milling Operation B. Sureshkumar, G. Navaneethakrishnan, R. Palanisamy, Taraprasanna Dash, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6868198/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 Precision machining processes like milling are crucial for achieving close tolerances in machine tool design. While several processes contribute, T-slot milling, utilizing rotating cutters to remove excess material, remains a prevalent technique. However, high cutting forces and limited stability often restrict productivity. This study investigates the influence of key machining parameters on T-slot milling performance. The design of experiments facilitated the execution of a comprehensive study, enabling the generation of empirical models via regression analysis. Response surface plots were employed to visualize the impact of individual and combined parameter effects. Statistical analysis using ANOVA further elucidated each parameter's significance and interactions. The developed models provide valuable insights for optimizing T-slot milling conditions, fostering improved productivity and material removal rates within the constraints of stability and process limitations. 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-6868198","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":472699271,"identity":"446cde76-c2e1-415a-b635-90e2cd54e3fe","order_by":0,"name":"B. Sureshkumar","email":"","orcid":"","institution":"K. 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