Title
Finite Element Modeling to Design Optimized TMD for Milling ToolsVersion
Postprint
Rights
© 2025 The AuthorsAccess
Open accessPublisher’s version
https://doi.org/10.1016/j.procir.2025.02.077Published at
CIRP Conference on Modeling of Machining Operations (CMMO) 20. Mons, 22-23 May 2025Publisher
ElsevierKeywords
Milling process
Finite element method (FEM)
Chatter
Tuned Mass Damper ... [+]
Finite element method (FEM)
Chatter
Tuned Mass Damper ... [+]
Milling process
Finite element method (FEM)
Chatter
Tuned Mass Damper
Modeling
Damping [-]
Finite element method (FEM)
Chatter
Tuned Mass Damper
Modeling
Damping [-]
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 incre ... [+]
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. [-]
Funder
Gobierno VascoGobierno Vasco
Gobierno Vasco
Gobierno Vasco
Gobierno de España
Program
Elkartek 2024Programa de apoyo a la I+D Empresarial Hazitek 2022
Sin información
Ikasiker 2022-2023
Proyectos de Generación de Conocimiento y a actuaciones para la formación de personal investigador predoctoral
Number
KK-2024-00005ZL-2022-00741
PRE_2023_1_0134
IT1443-22
PID2022-139655OB-I00
Award URI
Sin informaciónSin información
Sin información
Sin información
Sin información
Project
Nueva generación de procesos para la (re)fabricación sostenible (ORLEGI)(EVMACH)
Sin información
Grupo de Mecanizado de Alto Rendimiento
Diseño a medida de la integridad superficial de los componentes mecanizados para mejorar su durabilidad en aplicaciones de salud y Aeronáuticas (TAILORSURF)
Collections
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