{"title":"刀具磨损在线监测技术的研究现状及创新思路","authors":"Runping Shi, He Huang","doi":"10.1145/3512826.3512845","DOIUrl":null,"url":null,"abstract":"Abstract: Online tool monitoring is an inevitable requirement for the development of intelligent manufacturing systems. The existing problem of the non-image tool wear direct measurement method is Low accuracy and low efficiency. The common problem of the non-image tool wear indirect monitoring method is the complexity, inconvenience and narrow application. The image monitoring method cannot adapt to the harsh environment of the machining site, and there is also the problem of the organic combination of machine vision systems and machine tools. A new visual measurement system can be constructed by combining two types of digital image-based tool wear monitoring methods, replacing the flank image with the cutting edge contour, and replacing the texture information of machining surface with the roughness of that. With the theoretically feasible and mature hardware technology, it can realize efficient and accurate on-line monitoring of tools at the machining site.","PeriodicalId":270295,"journal":{"name":"Proceedings of the 2022 3rd International Conference on Artificial Intelligence in Electronics Engineering","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Current Study and Innovative Ideas of Online Monitoring Technology of Tool Wear\",\"authors\":\"Runping Shi, He Huang\",\"doi\":\"10.1145/3512826.3512845\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract: Online tool monitoring is an inevitable requirement for the development of intelligent manufacturing systems. The existing problem of the non-image tool wear direct measurement method is Low accuracy and low efficiency. The common problem of the non-image tool wear indirect monitoring method is the complexity, inconvenience and narrow application. The image monitoring method cannot adapt to the harsh environment of the machining site, and there is also the problem of the organic combination of machine vision systems and machine tools. A new visual measurement system can be constructed by combining two types of digital image-based tool wear monitoring methods, replacing the flank image with the cutting edge contour, and replacing the texture information of machining surface with the roughness of that. With the theoretically feasible and mature hardware technology, it can realize efficient and accurate on-line monitoring of tools at the machining site.\",\"PeriodicalId\":270295,\"journal\":{\"name\":\"Proceedings of the 2022 3rd International Conference on Artificial Intelligence in Electronics Engineering\",\"volume\":\"81 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2022 3rd International Conference on Artificial Intelligence in Electronics Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3512826.3512845\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 3rd International Conference on Artificial Intelligence in Electronics Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3512826.3512845","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Current Study and Innovative Ideas of Online Monitoring Technology of Tool Wear
Abstract: Online tool monitoring is an inevitable requirement for the development of intelligent manufacturing systems. The existing problem of the non-image tool wear direct measurement method is Low accuracy and low efficiency. The common problem of the non-image tool wear indirect monitoring method is the complexity, inconvenience and narrow application. The image monitoring method cannot adapt to the harsh environment of the machining site, and there is also the problem of the organic combination of machine vision systems and machine tools. A new visual measurement system can be constructed by combining two types of digital image-based tool wear monitoring methods, replacing the flank image with the cutting edge contour, and replacing the texture information of machining surface with the roughness of that. With the theoretically feasible and mature hardware technology, it can realize efficient and accurate on-line monitoring of tools at the machining site.