Synthesize evaluation method of characteristic defects in hole drilling of carbon fiber reinforced polymer

Synthesize evaluation method of characteristic defects in hole drilling of carbon fiber reinforced polymer | 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 Synthesize evaluation method of characteristic defects in hole drilling of carbon fiber reinforced polymer Siyu Liang, Guangjun Liu, Zhongguo Guan This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2334041/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 07 Apr, 2025 Read the published version in Chinese Journal of Mechanical Engineering → Version 1 posted 5 You are reading this latest preprint version Abstract Carbon fiber reinforced polymer (CFRP) composites are widely used in various fields because of their high strength, good toughness, and low density. However, owing to their unique forming process, some complex structures such as holes and grooves cannot be formed directly. Therefore, traditional machining procedures are also required. The drilling process is one of the most common machining methods for CFRP material holes, but owing to the complex structure and difficulty in processing CFRP composite material, the quality of the drilling process is often challenging to guarantee. Moreover, the hole-forming defects also have complex forms and lack uniform evaluation indexes. This study summarizes the common orifice defects in the process of CFRP drilling, establishes a comprehensive evaluation method of orifice defects by introducing the relevant theory of the fuzzy complementary judgment matrix, and experimentally verifies the accuracy and reliability of this method. Then, based on the experimental results, a non-linear cutting parameter optimization model is established, which effectively suppresses the orifice defects to ensure the accuracy of the hole size, roundness, and hole wall roughness. The hole-forming quality is subsequently improved. The hole quality evaluation method proposed in this study reduced the dimension of the evaluation index to ensure relevance and effectiveness and improved the convenience of quality inspection and parameter optimization in actual production. CFRP Quality evaluation Robot automatic drilling system Fuzzy complementary judgment matrix BP neural network Drilling parameters optimization Full Text Cite Share Download PDF Status: Published Journal Publication published 07 Apr, 2025 Read the published version in Chinese Journal of Mechanical Engineering → Version 1 posted Editorial decision: Major revision 21 Mar, 2023 Reviewers agreed at journal 10 Feb, 2023 Editor invited by journal 11 Dec, 2022 Editor assigned by journal 01 Dec, 2022 First submitted to journal 01 Dec, 2022 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-2334041","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":175018072,"identity":"edef52c2-ccb8-48fc-8568-75ec969461bf","order_by":0,"name":"Siyu Liang","email":"","orcid":"","institution":"Tongji University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Siyu","middleName":"","lastName":"Liang","suffix":""},{"id":175018073,"identity":"2e663e83-7b5a-4655-97fb-25218c3799aa","order_by":1,"name":"Guangjun Liu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAApElEQVRIiWNgGAWjYFCCww0HGCok5PhJ0HIQqOWMhbFkA/FaGBsYGNsqEjcQrUXe8WDjYd55EowbGJgfPrpBjBbDAwcbDvNuk2A2Z2AzNs4hSksDRAubZQMPmzQJWuZI8BgcIFaLPANIS4OEBPFaDIBaDs45JmEg2UysX+RnHD784U1NXX0/e/PDx8TZcuMAlMVMjHKwLf0NxCodBaNgFIyCEQsABUE0fE7uESMAAAAASUVORK5CYII=","orcid":"","institution":"Tongji University","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Guangjun","middleName":"","lastName":"Liu","suffix":""},{"id":175018074,"identity":"7d8b3fe2-5aaa-4421-955b-1513e8c3dc22","order_by":2,"name":"Zhongguo Guan","email":"","orcid":"","institution":"Tongji University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Zhongguo","middleName":"","lastName":"Guan","suffix":""}],"badges":[],"createdAt":"2022-12-01 14:16:31","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-2334041/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-2334041/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1186/s10033-025-01199-6","type":"published","date":"2025-04-07T16:04:58+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":80558844,"identity":"62313adc-459c-4f80-8279-794dcc79060a","added_by":"auto","created_at":"2025-04-14 16:16:40","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1312827,"visible":true,"origin":"","legend":"","description":"","filename":"ManuscriptSynEvalMethdCFRP2.pdf","url":"https://assets-eu.researchsquare.com/files/rs-2334041/v1_covered_ad1c0a97-41fc-42cd-949e-5d6c0c653b46.pdf"}],"financialInterests":"","formattedTitle":"Synthesize evaluation method of characteristic defects in hole drilling of carbon fiber reinforced polymer","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":true,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"chinese-journal-of-mechanical-engineering","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"chme","sideBox":"Learn more about [Chinese Journal of Mechanical Engineering](https://cjme.springeropen.com)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/chme/default.aspx","title":"Chinese Journal of Mechanical Engineering","twitterHandle":"@SpringerOpen","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"CFRP, Quality evaluation, Robot automatic drilling system, Fuzzy complementary judgment matrix, BP neural network, Drilling parameters optimization","lastPublishedDoi":"10.21203/rs.3.rs-2334041/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-2334041/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eCarbon fiber reinforced polymer (CFRP) composites are widely used in various fields because of their high strength, good toughness, and low density. 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