Yifei Hu , Xiaoliang Jin , Xin Jiang , Zhiming Zheng
{"title":"双级微型铣床的逆运动学模型和轨迹生成","authors":"Yifei Hu , Xiaoliang Jin , Xin Jiang , Zhiming Zheng","doi":"10.1016/j.jmapro.2024.10.057","DOIUrl":null,"url":null,"abstract":"<div><div>Multiaxis micromachining centers, designed for precision in miniature parts due to their high degrees of freedom, face significant challenges in motion planning to achieve high accuracy and speed. This paper presents a trajectory generation algorithm for a novel dual-stage 9-axis micro milling machine, comprising a Cartesian 3-axis stage and a high-bandwidth 6-degree-of-freedom magnetically levitated table. To address the inherent challenge of kinematic redundancy, the inverse kinematics model is developed to determine the position of each axis corresponding to the desired tool position and orientation. The feedrate is determined by considering the kinematics constraints of all nine axes. With the tool paths in the machine coordinate system fitted using B-spline curves, two linear optimization problems are formulated and solved to obtain the feedrate profile. Finally, interpolation points are calculated using a feedback method to obtain the position commands. The proposed method outperforms traditional methods using the Moore Penrose pseudoinverse of the Jacobian matrix, reducing cycle time by up to 44.55 % and contour error by up to 15.64 %, demonstrating significant efficiency and accuracy improvements.</div></div>","PeriodicalId":16148,"journal":{"name":"Journal of Manufacturing Processes","volume":"132 ","pages":"Pages 425-450"},"PeriodicalIF":6.1000,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Inverse kinematics model and trajectory generation of a dual-stage micro milling machine\",\"authors\":\"Yifei Hu , Xiaoliang Jin , Xin Jiang , Zhiming Zheng\",\"doi\":\"10.1016/j.jmapro.2024.10.057\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Multiaxis micromachining centers, designed for precision in miniature parts due to their high degrees of freedom, face significant challenges in motion planning to achieve high accuracy and speed. This paper presents a trajectory generation algorithm for a novel dual-stage 9-axis micro milling machine, comprising a Cartesian 3-axis stage and a high-bandwidth 6-degree-of-freedom magnetically levitated table. To address the inherent challenge of kinematic redundancy, the inverse kinematics model is developed to determine the position of each axis corresponding to the desired tool position and orientation. The feedrate is determined by considering the kinematics constraints of all nine axes. With the tool paths in the machine coordinate system fitted using B-spline curves, two linear optimization problems are formulated and solved to obtain the feedrate profile. Finally, interpolation points are calculated using a feedback method to obtain the position commands. The proposed method outperforms traditional methods using the Moore Penrose pseudoinverse of the Jacobian matrix, reducing cycle time by up to 44.55 % and contour error by up to 15.64 %, demonstrating significant efficiency and accuracy improvements.</div></div>\",\"PeriodicalId\":16148,\"journal\":{\"name\":\"Journal of Manufacturing Processes\",\"volume\":\"132 \",\"pages\":\"Pages 425-450\"},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2024-11-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Manufacturing Processes\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1526612524011009\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MANUFACTURING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Manufacturing Processes","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1526612524011009","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
Inverse kinematics model and trajectory generation of a dual-stage micro milling machine
Multiaxis micromachining centers, designed for precision in miniature parts due to their high degrees of freedom, face significant challenges in motion planning to achieve high accuracy and speed. This paper presents a trajectory generation algorithm for a novel dual-stage 9-axis micro milling machine, comprising a Cartesian 3-axis stage and a high-bandwidth 6-degree-of-freedom magnetically levitated table. To address the inherent challenge of kinematic redundancy, the inverse kinematics model is developed to determine the position of each axis corresponding to the desired tool position and orientation. The feedrate is determined by considering the kinematics constraints of all nine axes. With the tool paths in the machine coordinate system fitted using B-spline curves, two linear optimization problems are formulated and solved to obtain the feedrate profile. Finally, interpolation points are calculated using a feedback method to obtain the position commands. The proposed method outperforms traditional methods using the Moore Penrose pseudoinverse of the Jacobian matrix, reducing cycle time by up to 44.55 % and contour error by up to 15.64 %, demonstrating significant efficiency and accuracy improvements.
期刊介绍:
The aim of the Journal of Manufacturing Processes (JMP) is to exchange current and future directions of manufacturing processes research, development and implementation, and to publish archival scholarly literature with a view to advancing state-of-the-art manufacturing processes and encouraging innovation for developing new and efficient processes. The journal will also publish from other research communities for rapid communication of innovative new concepts. Special-topic issues on emerging technologies and invited papers will also be published.