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2025 | OriginalPaper | Chapter

Finite Element Modeling of Milling Spindle Thermal Behavior with Variation of Bearing Preload

Authors : Tria Mariz Arief, Hsiang-En Liao, Ping-Yen Lin, Jui-Pin Hung

Published in: Smart Innovation in Mechanical Engineering

Publisher: Springer Nature Singapore

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Abstract

This chapter delves into the critical role of bearing preload in the thermal behavior of milling spindles, a factor that significantly influences machining stability, spindle stiffness, and dynamic characteristics. Through the application of Finite Element Method (FEM), the study investigates how varying levels of bearing preload affect heat generation and thermal distribution within the spindle system. The analysis reveals a positive correlation between preload and heat generation, with higher preload levels leading to increased thermal output, particularly at higher spindle speeds. The chapter explores the thermal equilibrium of the spindle system, highlighting the interplay between frictional heat generation and the cooling system's effectiveness. It also examines the impact of temperature variations on bearing preload and frictional losses, providing a systemic framework for understanding these interactions. The results offer practical insights into optimizing spindle performance by tuning the initial preload, thereby enhancing machining stability and overall efficiency. The detailed FEM modeling, including thermal boundary conditions and convective heat transfer coefficients, provides a robust foundation for predicting and mitigating thermal issues in milling spindles.

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Metadata
Title
Finite Element Modeling of Milling Spindle Thermal Behavior with Variation of Bearing Preload
Authors
Tria Mariz Arief
Hsiang-En Liao
Ping-Yen Lin
Jui-Pin Hung
Copyright Year
2025
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-97-7898-0_49

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