{"title":"球端铣削的高效刀具路径规划方法,实现高质量制造","authors":"Hong-Yu Ma , Yi-Bo Kou , Li-Yong Shen , Chun-Ming Yuan","doi":"10.1016/j.rcim.2024.102905","DOIUrl":null,"url":null,"abstract":"<div><div>Triangular mesh representation is extensively utilized in geometric design and reverse engineering. However, in the realm of high quality CNC machining, there is a notable transition from mesh to continuous surface representation for workpieces. This paper presents a novel approach to address this shift, proposing a high-precision and efficient path generation method of ball-end milling specifically designed for triangular meshes. The method integrates considerate surface fitting techniques with productive path planning strategies to optimize machining processes. The method first introduces GNURBS surface fitting adapted for CAM with normal vectors and sharp features preserving, then provides a surface segmentation strategy better suited for machining based on a weighted graph analysis, and finally presents a Fermat spirals path generation scheme with single start and end points. Experimental results and case studies are provided to illustrate and clarify our method. The results show the superior performance and effectiveness of our method concerning surface quality, sharp features, and machining time.</div></div>","PeriodicalId":21452,"journal":{"name":"Robotics and Computer-integrated Manufacturing","volume":"93 ","pages":"Article 102905"},"PeriodicalIF":9.1000,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Efficient tool path planning method of ball-end milling for high quality manufacturing\",\"authors\":\"Hong-Yu Ma , Yi-Bo Kou , Li-Yong Shen , Chun-Ming Yuan\",\"doi\":\"10.1016/j.rcim.2024.102905\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Triangular mesh representation is extensively utilized in geometric design and reverse engineering. However, in the realm of high quality CNC machining, there is a notable transition from mesh to continuous surface representation for workpieces. This paper presents a novel approach to address this shift, proposing a high-precision and efficient path generation method of ball-end milling specifically designed for triangular meshes. The method integrates considerate surface fitting techniques with productive path planning strategies to optimize machining processes. The method first introduces GNURBS surface fitting adapted for CAM with normal vectors and sharp features preserving, then provides a surface segmentation strategy better suited for machining based on a weighted graph analysis, and finally presents a Fermat spirals path generation scheme with single start and end points. Experimental results and case studies are provided to illustrate and clarify our method. The results show the superior performance and effectiveness of our method concerning surface quality, sharp features, and machining time.</div></div>\",\"PeriodicalId\":21452,\"journal\":{\"name\":\"Robotics and Computer-integrated Manufacturing\",\"volume\":\"93 \",\"pages\":\"Article 102905\"},\"PeriodicalIF\":9.1000,\"publicationDate\":\"2024-11-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Robotics and Computer-integrated Manufacturing\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0736584524001923\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Robotics and Computer-integrated Manufacturing","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0736584524001923","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Efficient tool path planning method of ball-end milling for high quality manufacturing
Triangular mesh representation is extensively utilized in geometric design and reverse engineering. However, in the realm of high quality CNC machining, there is a notable transition from mesh to continuous surface representation for workpieces. This paper presents a novel approach to address this shift, proposing a high-precision and efficient path generation method of ball-end milling specifically designed for triangular meshes. The method integrates considerate surface fitting techniques with productive path planning strategies to optimize machining processes. The method first introduces GNURBS surface fitting adapted for CAM with normal vectors and sharp features preserving, then provides a surface segmentation strategy better suited for machining based on a weighted graph analysis, and finally presents a Fermat spirals path generation scheme with single start and end points. Experimental results and case studies are provided to illustrate and clarify our method. The results show the superior performance and effectiveness of our method concerning surface quality, sharp features, and machining time.
期刊介绍:
The journal, Robotics and Computer-Integrated Manufacturing, focuses on sharing research applications that contribute to the development of new or enhanced robotics, manufacturing technologies, and innovative manufacturing strategies that are relevant to industry. Papers that combine theory and experimental validation are preferred, while review papers on current robotics and manufacturing issues are also considered. However, papers on traditional machining processes, modeling and simulation, supply chain management, and resource optimization are generally not within the scope of the journal, as there are more appropriate journals for these topics. Similarly, papers that are overly theoretical or mathematical will be directed to other suitable journals. The journal welcomes original papers in areas such as industrial robotics, human-robot collaboration in manufacturing, cloud-based manufacturing, cyber-physical production systems, big data analytics in manufacturing, smart mechatronics, machine learning, adaptive and sustainable manufacturing, and other fields involving unique manufacturing technologies.