{"title":"Process planning system for prismatic parts","authors":"M. C. Kayacan, S. Celik","doi":"10.1108/09576060310459375","DOIUrl":null,"url":null,"abstract":"This study includes process planning of prismatic parts by means of an expert system. On the computer controlled machine tools, operation methods and mostly used process types in manufacture are drawn with solid modelling. Feature recognition process is achieved with the “B‐Rreb” modelling method to give vectorel direction knowledge and adjacent relationships of surface using the STEP standard interface program. Furthermore, operation type and sequence of operation are defined for the prismatic parts by using the databases achieved from the feature recognition module. This developed method was prepared on an IBM compatible PC by using C++ programming language for this purpose and is explained with a sample.","PeriodicalId":100314,"journal":{"name":"Computer Integrated Manufacturing Systems","volume":"67 14","pages":"75-86"},"PeriodicalIF":0.0000,"publicationDate":"2003-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Integrated Manufacturing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/09576060310459375","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 24
Abstract
This study includes process planning of prismatic parts by means of an expert system. On the computer controlled machine tools, operation methods and mostly used process types in manufacture are drawn with solid modelling. Feature recognition process is achieved with the “B‐Rreb” modelling method to give vectorel direction knowledge and adjacent relationships of surface using the STEP standard interface program. Furthermore, operation type and sequence of operation are defined for the prismatic parts by using the databases achieved from the feature recognition module. This developed method was prepared on an IBM compatible PC by using C++ programming language for this purpose and is explained with a sample.