{"title":"可制造特征识别及其与工艺规划的集成","authors":"Junghyun Han, Inho Han","doi":"10.1145/304012.304023","DOIUrl":null,"url":null,"abstract":"Despite the long history of research on feature recognition, its research results have rarely been transferred into indu:stry. One of the reasons may be the separation of feature recognition and process planning. This paper proposes to integrate the two activities, and presents efforts towards it: feature recognition for manufacturability and setup minimization, feature dependency construction, and generation of an optimal featurebased machining sequence.","PeriodicalId":286112,"journal":{"name":"International Conference on Smart Media and Applications","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Manufacturable feature recognition and its integration with process planning\",\"authors\":\"Junghyun Han, Inho Han\",\"doi\":\"10.1145/304012.304023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Despite the long history of research on feature recognition, its research results have rarely been transferred into indu:stry. One of the reasons may be the separation of feature recognition and process planning. This paper proposes to integrate the two activities, and presents efforts towards it: feature recognition for manufacturability and setup minimization, feature dependency construction, and generation of an optimal featurebased machining sequence.\",\"PeriodicalId\":286112,\"journal\":{\"name\":\"International Conference on Smart Media and Applications\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Smart Media and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/304012.304023\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Smart Media and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/304012.304023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Manufacturable feature recognition and its integration with process planning
Despite the long history of research on feature recognition, its research results have rarely been transferred into indu:stry. One of the reasons may be the separation of feature recognition and process planning. This paper proposes to integrate the two activities, and presents efforts towards it: feature recognition for manufacturability and setup minimization, feature dependency construction, and generation of an optimal featurebased machining sequence.