Optimization of process parameters for gas-powder flow behavior in the coaxial nozzle during laser direct metal deposition based on numerical simulation

Optimization of process parameters for gas-powder flow behavior in the coaxial nozzle during laser direct metal deposition based on numerical simulation | 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 of process parameters for gas-powder flow behavior in the coaxial nozzle during laser direct metal deposition based on numerical simulation Kai Zhao, Kun Yang, Mingzhi Chen, Zhandong Wang, Erke Wu, Guifang Sun This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3357930/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 10 Jan, 2024 Read the published version in The International Journal of Advanced Manufacturing Technology → Version 1 posted 5 You are reading this latest preprint version Abstract Laser direct metal deposition (DMD) can supply a new method in the fields of surface modification and near-net forming. The powder flow behavior and its convergence characteristics play a crucial role in the deposition quality during the DMD process. In this research, the k - ε turbulence model based on the Computational Fluid Dynamics (CFD) modeling method was innovatively employed to establish the numerical model of the gas-powder flow. Then, the Dense Discrete Phase Model (DDPM) was utilized in this gas-powder coupling model to accurately calculate the collision between particles and between particle and inner wall of the nozzle. Afterward, the Response Surface Method (RSM) was carried out to design the numerical simulation scheme, analyze a series of simulation results, explore the correlation between the process parameters and the responses, and establish the prediction model of powder convergence characteristics. Furthermore, the process parameters were optimized by considering the influence of defocusing amount, with smaller powder spot diameter and higher maximum powder mass concentration as optimization objectives. It was found that the prediction model of responses demonstrated a high degree of accuracy and reliability. The single deposition track exhibited better deposition quality fabricated with the optimized process parameters. The research method and results mentioned in the present study were expected to provide significant theoretical guidance for the selection and application of process parameters during the laser direct metal deposition process. Laser direct metal deposition Coaxial nozzle Numerical simulation Prediction model Process parameters optimization Full Text Cite Share Download PDF Status: Published Journal Publication published 10 Jan, 2024 Read the published version in The International Journal of Advanced Manufacturing Technology → Version 1 posted Editorial decision: Minor Revisions Needed 19 Dec, 2023 Reviewers agreed at journal 25 Sep, 2023 Reviewers invited by journal 18 Sep, 2023 Editor assigned by journal 18 Sep, 2023 First submitted to journal 15 Sep, 2023 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-3357930","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":234421772,"identity":"22842778-d01d-4412-ac2c-eec217814267","order_by":0,"name":"Kai Zhao","email":"","orcid":"","institution":"","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Kai","middleName":"","lastName":"Zhao","suffix":""},{"id":234421773,"identity":"f3644c20-3521-4626-9cda-03bb1aaae0c9","order_by":1,"name":"Kun 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Furthermore, the process parameters were optimized by considering the influence of defocusing amount, with smaller powder spot diameter and higher maximum powder mass concentration as optimization objectives. It was found that the prediction model of responses demonstrated a high degree of accuracy and reliability. The single deposition track exhibited better deposition quality fabricated with the optimized process parameters. The research method and results mentioned in the present study were expected to provide significant theoretical guidance for the selection and application of process parameters during the laser direct metal deposition process.\u003c/p\u003e","manuscriptTitle":"Optimization of process parameters for gas-powder flow behavior in the coaxial nozzle during laser direct metal deposition based on numerical simulation","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2023-09-25 06:57:17","doi":"10.21203/rs.3.rs-3357930/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Minor Revisions Needed","date":"2023-12-20T03:27:41+00:00","index":"","fulltext":""},{"type":"reviewerAgreed","content":"","date":"2023-09-25T09:40:09+00:00","index":0,"fulltext":""},{"type":"reviewersInvited","content":"","date":"2023-09-18T13:27:02+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2023-09-18T09:35:25+00:00","index":"","fulltext":""},{"type":"submitted","content":"The International Journal of Advanced Manufacturing Technology","date":"2023-09-15T04:46:50+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"the-international-journal-of-advanced-manufacturing-technology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jamt","sideBox":"Learn more about [The International Journal of Advanced Manufacturing Technology](https://www.springer.com/journal/170)","snPcode":"170","submissionUrl":"https://submission.nature.com/new-submission/170/3","title":"The International Journal of Advanced Manufacturing Technology","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"387f8b05-90b5-415c-8b11-774501c21ce5","owner":[],"postedDate":"September 25th, 2023","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2024-01-15T15:08:49+00:00","versionOfRecord":{"articleIdentity":"rs-3357930","link":"https://doi.org/10.1007/s00170-024-12964-7","journal":{"identity":"the-international-journal-of-advanced-manufacturing-technology","isVorOnly":false,"title":"The International Journal of Advanced Manufacturing Technology"},"publishedOn":"2024-01-10 15:01:53","publishedOnDateReadable":"January 10th, 2024"},"versionCreatedAt":"2023-09-25 06:57:17","video":"","vorDoi":"10.1007/s00170-024-12964-7","vorDoiUrl":"https://doi.org/10.1007/s00170-024-12964-7","workflowStages":[]},"version":"v1","identity":"rs-3357930","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3357930","identity":"rs-3357930","version":["v1"]},"buildId":"7rjqhiLT3MXkJMwkYKINL","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}