{"title":"基于模糊知识的精车削表面粗糙度预测系统","authors":"J. Fei, I. Jawahir","doi":"10.1109/FUZZY.1992.258777","DOIUrl":null,"url":null,"abstract":"A search for a non-deterministic means for predicting the achievable levels of surface roughness in finish turning operations was initiated and this initiative has resulted in a fuzzy knowledge-based system, which can precisely predict the achievable surface roughness levels. The authors outline the complex nature of the finish turning problem, justifying the need for such a predictive system, and present a new methodology for predicting surface roughness values for a given set of cutting conditions, work materials, tool insert types, and tool geometries.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"118 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"A fuzzy knowledge-based system for predicting surface roughness in finish turning\",\"authors\":\"J. Fei, I. Jawahir\",\"doi\":\"10.1109/FUZZY.1992.258777\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A search for a non-deterministic means for predicting the achievable levels of surface roughness in finish turning operations was initiated and this initiative has resulted in a fuzzy knowledge-based system, which can precisely predict the achievable surface roughness levels. The authors outline the complex nature of the finish turning problem, justifying the need for such a predictive system, and present a new methodology for predicting surface roughness values for a given set of cutting conditions, work materials, tool insert types, and tool geometries.<<ETX>>\",\"PeriodicalId\":222263,\"journal\":{\"name\":\"[1992 Proceedings] IEEE International Conference on Fuzzy Systems\",\"volume\":\"118 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-03-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1992 Proceedings] IEEE International Conference on Fuzzy Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FUZZY.1992.258777\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZY.1992.258777","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A fuzzy knowledge-based system for predicting surface roughness in finish turning
A search for a non-deterministic means for predicting the achievable levels of surface roughness in finish turning operations was initiated and this initiative has resulted in a fuzzy knowledge-based system, which can precisely predict the achievable surface roughness levels. The authors outline the complex nature of the finish turning problem, justifying the need for such a predictive system, and present a new methodology for predicting surface roughness values for a given set of cutting conditions, work materials, tool insert types, and tool geometries.<>
![[1992 Proceedings] IEEE International Conference on Fuzzy Systems](/Content/css/sci/img/zetp.jpg)
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
