{"title":"基于演化摩擦的交互摩擦加工有限元建模","authors":"Mozammel Mia , Saqib Anwar , Xiao Yang","doi":"10.1016/j.jmapro.2025.04.073","DOIUrl":null,"url":null,"abstract":"<div><div>This article presents the finite element modeling and simulation of machining with evolutionary friction, which was obtained from the interactive friction model (IFM). An empirical-numerical approach was used for IFM calibration, and the simulated annealing optimization was used to determine the IFM parameters. As the first step, the validated FEA simulations with constant friction coefficients were used to extract the interfacial parameters (i.e., pressure, sliding velocity, and temperature). Afterward, the interfacial parameters of the marginal nodes were fed into the IFM to optimize the model parameters. The evolution of the coefficient of friction obtained from the calibrated IFM was afterward used to generate the FEA model, which was validated with experimental cutting force. Finally, the performance of the IFM-based FEA model was compared with that of the constant friction coefficient. It was found that the inclusion of the evolution of friction with cutting time caused a shift in the FEA-simulation-based cutting force, feed force, thrust force, and temperature to move in the projected direction of friction. The adopted approach of IFM calibration can be helpful as an alternative to the friction data for machining interfaces, which are challenging to achieve through tribology tests.</div></div>","PeriodicalId":16148,"journal":{"name":"Journal of Manufacturing Processes","volume":"148 ","pages":"Pages 61-74"},"PeriodicalIF":6.1000,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Finite element modeling of machining with interactive friction model based evolutionary friction\",\"authors\":\"Mozammel Mia , Saqib Anwar , Xiao Yang\",\"doi\":\"10.1016/j.jmapro.2025.04.073\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This article presents the finite element modeling and simulation of machining with evolutionary friction, which was obtained from the interactive friction model (IFM). An empirical-numerical approach was used for IFM calibration, and the simulated annealing optimization was used to determine the IFM parameters. As the first step, the validated FEA simulations with constant friction coefficients were used to extract the interfacial parameters (i.e., pressure, sliding velocity, and temperature). Afterward, the interfacial parameters of the marginal nodes were fed into the IFM to optimize the model parameters. The evolution of the coefficient of friction obtained from the calibrated IFM was afterward used to generate the FEA model, which was validated with experimental cutting force. Finally, the performance of the IFM-based FEA model was compared with that of the constant friction coefficient. It was found that the inclusion of the evolution of friction with cutting time caused a shift in the FEA-simulation-based cutting force, feed force, thrust force, and temperature to move in the projected direction of friction. The adopted approach of IFM calibration can be helpful as an alternative to the friction data for machining interfaces, which are challenging to achieve through tribology tests.</div></div>\",\"PeriodicalId\":16148,\"journal\":{\"name\":\"Journal of Manufacturing Processes\",\"volume\":\"148 \",\"pages\":\"Pages 61-74\"},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2025-05-19\",\"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/S1526612525004931\",\"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/S1526612525004931","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}
Finite element modeling of machining with interactive friction model based evolutionary friction
This article presents the finite element modeling and simulation of machining with evolutionary friction, which was obtained from the interactive friction model (IFM). An empirical-numerical approach was used for IFM calibration, and the simulated annealing optimization was used to determine the IFM parameters. As the first step, the validated FEA simulations with constant friction coefficients were used to extract the interfacial parameters (i.e., pressure, sliding velocity, and temperature). Afterward, the interfacial parameters of the marginal nodes were fed into the IFM to optimize the model parameters. The evolution of the coefficient of friction obtained from the calibrated IFM was afterward used to generate the FEA model, which was validated with experimental cutting force. Finally, the performance of the IFM-based FEA model was compared with that of the constant friction coefficient. It was found that the inclusion of the evolution of friction with cutting time caused a shift in the FEA-simulation-based cutting force, feed force, thrust force, and temperature to move in the projected direction of friction. The adopted approach of IFM calibration can be helpful as an alternative to the friction data for machining interfaces, which are challenging to achieve through tribology tests.
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.