Shihao Xin , Xiaowei Tang , Jiawei Wu , Fangyu Peng , Rong Yan , Wei Yang
{"title":"机器人铣削中低频颤振的研究","authors":"Shihao Xin , Xiaowei Tang , Jiawei Wu , Fangyu Peng , Rong Yan , Wei Yang","doi":"10.1016/j.ijmachtools.2023.104048","DOIUrl":null,"url":null,"abstract":"<div><p>In robotic milling with large allowance process, low-frequency chatter (LFC) is an important factor observed in high-speed and low-speed milling, affecting the processing efficiency and quality. Previous research has used the regenerative chatter theory, ignoring modulated tool-workpiece engagement conditions, or mode coupling theory under the assumption of threading operations to explain the LFC mechanism and predict the stability boundary. However, these models overlook or inaccurately characterize the modulation effect, leading to inaccurate modeling of dynamic chip thickness changes during milling, making it difficult to understand the mechanism of LFC. Here, we propose an LFC stability model that considers modulated tool-workpiece engagement conditions and the mode coupling effect of the robotic structure for robotic milling. This approach allows us to reveal the mechanism of LFC and identify the characteristic signal of low-frequency vibration, which is the sideband frequency signal. Initially, the evolution of LFC is analyzed, and its characteristics are summarized. Further, a surface renewal (SR) model is proposed to accurately calculate the dynamic cutting force caused by modulated tool-workpiece engagement conditions in LFC. Furthermore, the LFC stability model, considering the modulated tool-workpiece engagement conditions and mode coupling effect, is established based on impulse response function (IRF) method. Finally, we verify the accuracy of our model through milling experiments and compare it with that of the classical stability prediction model. Our results show that LFC is highly dependent on speed, and our stability model can effectively predict the stability boundary of LFC in robotic milling with large allowance process.</p></div>","PeriodicalId":14011,"journal":{"name":"International Journal of Machine Tools & Manufacture","volume":"190 ","pages":"Article 104048"},"PeriodicalIF":14.0000,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Investigation of the low-frequency chatter in robotic milling\",\"authors\":\"Shihao Xin , Xiaowei Tang , Jiawei Wu , Fangyu Peng , Rong Yan , Wei Yang\",\"doi\":\"10.1016/j.ijmachtools.2023.104048\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In robotic milling with large allowance process, low-frequency chatter (LFC) is an important factor observed in high-speed and low-speed milling, affecting the processing efficiency and quality. Previous research has used the regenerative chatter theory, ignoring modulated tool-workpiece engagement conditions, or mode coupling theory under the assumption of threading operations to explain the LFC mechanism and predict the stability boundary. However, these models overlook or inaccurately characterize the modulation effect, leading to inaccurate modeling of dynamic chip thickness changes during milling, making it difficult to understand the mechanism of LFC. Here, we propose an LFC stability model that considers modulated tool-workpiece engagement conditions and the mode coupling effect of the robotic structure for robotic milling. This approach allows us to reveal the mechanism of LFC and identify the characteristic signal of low-frequency vibration, which is the sideband frequency signal. Initially, the evolution of LFC is analyzed, and its characteristics are summarized. Further, a surface renewal (SR) model is proposed to accurately calculate the dynamic cutting force caused by modulated tool-workpiece engagement conditions in LFC. Furthermore, the LFC stability model, considering the modulated tool-workpiece engagement conditions and mode coupling effect, is established based on impulse response function (IRF) method. Finally, we verify the accuracy of our model through milling experiments and compare it with that of the classical stability prediction model. Our results show that LFC is highly dependent on speed, and our stability model can effectively predict the stability boundary of LFC in robotic milling with large allowance process.</p></div>\",\"PeriodicalId\":14011,\"journal\":{\"name\":\"International Journal of Machine Tools & Manufacture\",\"volume\":\"190 \",\"pages\":\"Article 104048\"},\"PeriodicalIF\":14.0000,\"publicationDate\":\"2023-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Machine Tools & Manufacture\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0890695523000561\",\"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":"International Journal of Machine Tools & Manufacture","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0890695523000561","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}
Investigation of the low-frequency chatter in robotic milling
In robotic milling with large allowance process, low-frequency chatter (LFC) is an important factor observed in high-speed and low-speed milling, affecting the processing efficiency and quality. Previous research has used the regenerative chatter theory, ignoring modulated tool-workpiece engagement conditions, or mode coupling theory under the assumption of threading operations to explain the LFC mechanism and predict the stability boundary. However, these models overlook or inaccurately characterize the modulation effect, leading to inaccurate modeling of dynamic chip thickness changes during milling, making it difficult to understand the mechanism of LFC. Here, we propose an LFC stability model that considers modulated tool-workpiece engagement conditions and the mode coupling effect of the robotic structure for robotic milling. This approach allows us to reveal the mechanism of LFC and identify the characteristic signal of low-frequency vibration, which is the sideband frequency signal. Initially, the evolution of LFC is analyzed, and its characteristics are summarized. Further, a surface renewal (SR) model is proposed to accurately calculate the dynamic cutting force caused by modulated tool-workpiece engagement conditions in LFC. Furthermore, the LFC stability model, considering the modulated tool-workpiece engagement conditions and mode coupling effect, is established based on impulse response function (IRF) method. Finally, we verify the accuracy of our model through milling experiments and compare it with that of the classical stability prediction model. Our results show that LFC is highly dependent on speed, and our stability model can effectively predict the stability boundary of LFC in robotic milling with large allowance process.
期刊介绍:
The International Journal of Machine Tools and Manufacture is dedicated to advancing scientific comprehension of the fundamental mechanics involved in processes and machines utilized in the manufacturing of engineering components. While the primary focus is on metals, the journal also explores applications in composites, ceramics, and other structural or functional materials. The coverage includes a diverse range of topics:
- Essential mechanics of processes involving material removal, accretion, and deformation, encompassing solid, semi-solid, or particulate forms.
- Significant scientific advancements in existing or new processes and machines.
- In-depth characterization of workpiece materials (structure/surfaces) through advanced techniques (e.g., SEM, EDS, TEM, EBSD, AES, Raman spectroscopy) to unveil new phenomenological aspects governing manufacturing processes.
- Tool design, utilization, and comprehensive studies of failure mechanisms.
- Innovative concepts of machine tools, fixtures, and tool holders supported by modeling and demonstrations relevant to manufacturing processes within the journal's scope.
- Novel scientific contributions exploring interactions between the machine tool, control system, software design, and processes.
- Studies elucidating specific mechanisms governing niche processes (e.g., ultra-high precision, nano/atomic level manufacturing with either mechanical or non-mechanical "tools").
- Innovative approaches, underpinned by thorough scientific analysis, addressing emerging or breakthrough processes (e.g., bio-inspired manufacturing) and/or applications (e.g., ultra-high precision optics).