Lenin Nagarajan, Siva Kumar Mahalingam, Balaji Vasudevan
{"title":"利用机器学习和进化算法改进加砂水刀钻孔工艺","authors":"Lenin Nagarajan, Siva Kumar Mahalingam, Balaji Vasudevan","doi":"10.1080/10426914.2024.2394992","DOIUrl":null,"url":null,"abstract":"To improve the abrasive waterjet drilling procedure for yttrium-stabilized zirconia-coated Inconel 718 superalloy, this study suggests an integrated approach using machine learning and an evolution...","PeriodicalId":18266,"journal":{"name":"Materials and Manufacturing Processes","volume":null,"pages":null},"PeriodicalIF":4.1000,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Abrasive waterjet drilling process enhancement using machine learning and evolutionary algorithms\",\"authors\":\"Lenin Nagarajan, Siva Kumar Mahalingam, Balaji Vasudevan\",\"doi\":\"10.1080/10426914.2024.2394992\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To improve the abrasive waterjet drilling procedure for yttrium-stabilized zirconia-coated Inconel 718 superalloy, this study suggests an integrated approach using machine learning and an evolution...\",\"PeriodicalId\":18266,\"journal\":{\"name\":\"Materials and Manufacturing Processes\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2024-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Materials and Manufacturing Processes\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.1080/10426914.2024.2394992\",\"RegionNum\":2,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, MANUFACTURING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Materials and Manufacturing Processes","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1080/10426914.2024.2394992","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
Abrasive waterjet drilling process enhancement using machine learning and evolutionary algorithms
To improve the abrasive waterjet drilling procedure for yttrium-stabilized zirconia-coated Inconel 718 superalloy, this study suggests an integrated approach using machine learning and an evolution...
期刊介绍：
Materials and Manufacturing Processes deals with issues that result in better utilization of raw materials and energy, integration of design and manufacturing activities requiring the invention of suitable new manufacturing processes and techniques, unmanned production dependent on efficient and reliable control of various processes including intelligent processing, introduction of new materials in industrial production necessitating new manufacturing process technology, and more. Information is offered in various formats, including research articles, letter reports, review articles, conference papers, applied research, book and conference reviews, and entire issues devoted to symposia.
All submitted manuscripts are subject to initial appraisal by the Editors, and, if found suitable for further consideration, to peer review by independent, anonymous expert referees. All peer review is single blind and submission is online via ScholarOne Manuscripts.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
