A quality and efficiency balanced CFRP cutting strategy: Modeling, analyzing and verification in drilling

A quality and efficiency balanced CFRP cutting strategy: Modeling, analyzing and verification in drilling | 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 A quality and efficiency balanced CFRP cutting strategy: Modeling, analyzing and verification in drilling Qingxun Meng, Chen Sun, Hui Zhang, Yuduo Chen, Shuqi Li This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7701767/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 4 You are reading this latest preprint version Abstract Carbon fiber reinforced polymer (CFRP) is difficult to machine due to its unique properties. Improper machining processes can result in various types of damage. The commonly employed method is “small cutting depth with multiple passes”. The hole is drilled with several bits of varying diameters and is enlarged at high speeds and low feeds until the desired diameter is achieved. However, this approach is inefficient as it requires multiple tools for a single hole, which increases both time and costs. To address the trade-off between machining efficiency and quality, this study proposes a multi-edged collaborative cutting strategy. This technique consolidates multiple operations into a single process, achieving a balance between machining quality and efficiency. A case study was conducted using drilling as an example, where a multi-edged cutting drill was designed and tested. Data on axial force, hole diameter variation, burr formation, and subsurface damage were collected and compared with those obtained using a traditional twist drill. The results show that the multi-edged cutting approach significantly reduces the load per cutting edge, alleviates tool wear, and minimizes fluctuations in hole diameter accuracy. Additionally, the sensitivity of machining quality to process parameters is reduced, leading to improved overall performance. This strategy offers a notable advancement in both machining quality and efficiency, effectively resolving the issues traditionally associated with CFRP drilling. Carbon fiber reinforced polymer Cutting strategy Machining efficiency Multi-edged collaborative cutting Drilling quality Full Text Cite Share Download PDF Status: Under Review Version 1 posted Reviewers agreed at journal 09 Nov, 2025 Reviewers invited by journal 09 Nov, 2025 Editor assigned by journal 26 Sep, 2025 First submitted to journal 24 Sep, 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. 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-7701767","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":542149593,"identity":"c9cab2a5-5ea4-430c-86ca-7c42bbe6de14","order_by":0,"name":"Qingxun 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