N. Mohan, Kavadiki Veerabhadrappa, J. Sharana Basavaraja, B.G. Suhas, R. Suresh Kumar
{"title":"基于Johnson-Cook材料模型的Ti-6AL-4V刀具结构热分析","authors":"N. Mohan, Kavadiki Veerabhadrappa, J. Sharana Basavaraja, B.G. Suhas, R. Suresh Kumar","doi":"10.1016/j.gltp.2022.05.002","DOIUrl":null,"url":null,"abstract":"<div><p>Precision machine accuracy is harmed by a variety of error sources, including vibration, self-weight deformation, and measurement error. Thermal deformation of the machine structure is a major source of error that reduces the accuracy of precision machines. Thermo-elastic deformations of machine tools are caused by both internal and external heat sources, resulting in geometric inaccuracies in the work piece. Thermal effects can account for up to 75% of the total inaccuracy. Precision machines must meet higher precision and productivity standards. As a result, the Johnson-Cook dynamic failure model is used in this work to reduce. The Johnson–Cook material constitutive equation, which is employed in this work, takes into account the effects of strain, strain rate, and temperature on material properties. The results obtained from the present methodology are validated with the results available from the Literature. From the present study the thermal error could be kept within 16µm. Further the same methodology can be extended to HMC's and VMC's for special purpose machines in order to control the thermal deformations.</p></div>","PeriodicalId":100588,"journal":{"name":"Global Transitions Proceedings","volume":"3 2","pages":"Pages 432-437"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666285X22000747/pdfft?md5=8acdc13cc05e4cfb819886bc45cf782c&pid=1-s2.0-S2666285X22000747-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Thermal analysis on Ti-6AL-4V tool architecture using Johnson–Cook material model\",\"authors\":\"N. Mohan, Kavadiki Veerabhadrappa, J. Sharana Basavaraja, B.G. Suhas, R. Suresh Kumar\",\"doi\":\"10.1016/j.gltp.2022.05.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Precision machine accuracy is harmed by a variety of error sources, including vibration, self-weight deformation, and measurement error. Thermal deformation of the machine structure is a major source of error that reduces the accuracy of precision machines. Thermo-elastic deformations of machine tools are caused by both internal and external heat sources, resulting in geometric inaccuracies in the work piece. Thermal effects can account for up to 75% of the total inaccuracy. Precision machines must meet higher precision and productivity standards. As a result, the Johnson-Cook dynamic failure model is used in this work to reduce. The Johnson–Cook material constitutive equation, which is employed in this work, takes into account the effects of strain, strain rate, and temperature on material properties. The results obtained from the present methodology are validated with the results available from the Literature. From the present study the thermal error could be kept within 16µm. Further the same methodology can be extended to HMC's and VMC's for special purpose machines in order to control the thermal deformations.</p></div>\",\"PeriodicalId\":100588,\"journal\":{\"name\":\"Global Transitions Proceedings\",\"volume\":\"3 2\",\"pages\":\"Pages 432-437\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666285X22000747/pdfft?md5=8acdc13cc05e4cfb819886bc45cf782c&pid=1-s2.0-S2666285X22000747-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Global Transitions Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666285X22000747\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Transitions Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666285X22000747","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Thermal analysis on Ti-6AL-4V tool architecture using Johnson–Cook material model
Precision machine accuracy is harmed by a variety of error sources, including vibration, self-weight deformation, and measurement error. Thermal deformation of the machine structure is a major source of error that reduces the accuracy of precision machines. Thermo-elastic deformations of machine tools are caused by both internal and external heat sources, resulting in geometric inaccuracies in the work piece. Thermal effects can account for up to 75% of the total inaccuracy. Precision machines must meet higher precision and productivity standards. As a result, the Johnson-Cook dynamic failure model is used in this work to reduce. The Johnson–Cook material constitutive equation, which is employed in this work, takes into account the effects of strain, strain rate, and temperature on material properties. The results obtained from the present methodology are validated with the results available from the Literature. From the present study the thermal error could be kept within 16µm. Further the same methodology can be extended to HMC's and VMC's for special purpose machines in order to control the thermal deformations.