{"title":"基于细胞图谱的数据驱动型体积特征识别方法","authors":"Dingye Yang, Yingguang Li, Xu Liu, Tianchi Deng, Changqing Liu, Ke Xu","doi":"10.1080/0951192x.2024.2387767","DOIUrl":null,"url":null,"abstract":"Machining feature recognition is one of the key technologies for realizing automated process planning. The machining feature represented by volume contains more complete information due to its prop...","PeriodicalId":13907,"journal":{"name":"International Journal of Computer Integrated Manufacturing","volume":null,"pages":null},"PeriodicalIF":3.7000,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A data-driven approach for volume feature recognition based on cell graph\",\"authors\":\"Dingye Yang, Yingguang Li, Xu Liu, Tianchi Deng, Changqing Liu, Ke Xu\",\"doi\":\"10.1080/0951192x.2024.2387767\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Machining feature recognition is one of the key technologies for realizing automated process planning. The machining feature represented by volume contains more complete information due to its prop...\",\"PeriodicalId\":13907,\"journal\":{\"name\":\"International Journal of Computer Integrated Manufacturing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Computer Integrated Manufacturing\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/0951192x.2024.2387767\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computer Integrated Manufacturing","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/0951192x.2024.2387767","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
A data-driven approach for volume feature recognition based on cell graph
Machining feature recognition is one of the key technologies for realizing automated process planning. The machining feature represented by volume contains more complete information due to its prop...
期刊介绍：
International Journal of Computer Integrated Manufacturing (IJCIM) reports new research in theory and applications of computer integrated manufacturing. The scope spans mechanical and manufacturing engineering, software and computer engineering as well as automation and control engineering with a particular focus on today’s data driven manufacturing. Terms such as industry 4.0, intelligent manufacturing, digital manufacturing and cyber-physical manufacturing systems are now used to identify the area of knowledge that IJCIM has supported and shaped in its history of more than 30 years.
IJCIM continues to grow and has become a key forum for academics and industrial researchers to exchange information and ideas. In response to this interest, IJCIM is now published monthly, enabling the editors to target topical special issues; topics as diverse as digital twins, transdisciplinary engineering, cloud manufacturing, deep learning for manufacturing, service-oriented architectures, dematerialized manufacturing systems, wireless manufacturing and digital enterprise technologies to name a few.
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