Mikel Etxebeste , Gorka Ortiz-de-Zarate , Iñaki M. Arrieta , Pedro J. Arrazola
{"title":"Finite Element Modeling to Design Optimized TMD for Milling Tools","authors":"Mikel Etxebeste , Gorka Ortiz-de-Zarate , Iñaki M. Arrieta , Pedro J. Arrazola","doi":"10.1016/j.procir.2025.02.077","DOIUrl":null,"url":null,"abstract":"<div><div>Long milling tools are often limited in productivity due to chatter vibrations. Embedded Tuned Mass Dampers (TMDs) in these tools have proven to be an effective solution for reducing chatter and increasing productivity. The performance of TMDs is highly dependent on the correct dimensioning and selection of the most suitable damping materials, which cannot be determined through trial and error, making modeling essential. This study presents a new TMD design for milling tools, optimized through Finite Element Method (FEM) modeling. The FEM analysis allows for maximizing damping efficiency through the precise selection of optimal dimensional parameters tailored to the specific tool geometry. A prototype of the optimized TMD tool was manufactured and experimentally tested, validating the FEM model through tap testing and showing significantly improved performance in machining tests, with reduced chatter compared to the original undamped tool.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"133 ","pages":"Pages 448-453"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Procedia CIRP","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212827125001660","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Long milling tools are often limited in productivity due to chatter vibrations. Embedded Tuned Mass Dampers (TMDs) in these tools have proven to be an effective solution for reducing chatter and increasing productivity. The performance of TMDs is highly dependent on the correct dimensioning and selection of the most suitable damping materials, which cannot be determined through trial and error, making modeling essential. This study presents a new TMD design for milling tools, optimized through Finite Element Method (FEM) modeling. The FEM analysis allows for maximizing damping efficiency through the precise selection of optimal dimensional parameters tailored to the specific tool geometry. A prototype of the optimized TMD tool was manufactured and experimentally tested, validating the FEM model through tap testing and showing significantly improved performance in machining tests, with reduced chatter compared to the original undamped tool.