Dylan Pollard , Jose Nazario , Junbeom Son , Tyler Woodard , Michael Gomez , Tony Schmitz
{"title":"利用现场速度校准工艺阻尼力模型","authors":"Dylan Pollard , Jose Nazario , Junbeom Son , Tyler Woodard , Michael Gomez , Tony Schmitz","doi":"10.1016/j.cirpj.2024.09.001","DOIUrl":null,"url":null,"abstract":"<div><p>This paper describes a process damping force model calibrated using an in situ measurement of velocity during an unstable milling test. The process damping coefficient is selected to match simulated and measured velocity signals. The coefficient is inserted in the cutting force model and time-delay differential equations of motion that describe the milling system. The modeling approach is described and experimental results are presented for: 1) selecting the process damping coefficient; and 2) comparing measured velocities and milling stability to predictions from time domain simulation.</p></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"55 ","pages":"Pages 16-27"},"PeriodicalIF":4.6000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Process damping force model calibration using in situ velocity\",\"authors\":\"Dylan Pollard , Jose Nazario , Junbeom Son , Tyler Woodard , Michael Gomez , Tony Schmitz\",\"doi\":\"10.1016/j.cirpj.2024.09.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This paper describes a process damping force model calibrated using an in situ measurement of velocity during an unstable milling test. The process damping coefficient is selected to match simulated and measured velocity signals. The coefficient is inserted in the cutting force model and time-delay differential equations of motion that describe the milling system. The modeling approach is described and experimental results are presented for: 1) selecting the process damping coefficient; and 2) comparing measured velocities and milling stability to predictions from time domain simulation.</p></div>\",\"PeriodicalId\":56011,\"journal\":{\"name\":\"CIRP Journal of Manufacturing Science and Technology\",\"volume\":\"55 \",\"pages\":\"Pages 16-27\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CIRP Journal of Manufacturing Science and Technology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1755581724001329\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, MANUFACTURING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CIRP Journal of Manufacturing Science and Technology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1755581724001329","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
Process damping force model calibration using in situ velocity
This paper describes a process damping force model calibrated using an in situ measurement of velocity during an unstable milling test. The process damping coefficient is selected to match simulated and measured velocity signals. The coefficient is inserted in the cutting force model and time-delay differential equations of motion that describe the milling system. The modeling approach is described and experimental results are presented for: 1) selecting the process damping coefficient; and 2) comparing measured velocities and milling stability to predictions from time domain simulation.
期刊介绍:
The CIRP Journal of Manufacturing Science and Technology (CIRP-JMST) publishes fundamental papers on manufacturing processes, production equipment and automation, product design, manufacturing systems and production organisations up to the level of the production networks, including all the related technical, human and economic factors. Preference is given to contributions describing research results whose feasibility has been demonstrated either in a laboratory or in the industrial praxis. Case studies and review papers on specific issues in manufacturing science and technology are equally encouraged.