A5063146866- Advanced Measurement and Metrology Techniques
- Advanced machining processes and optimization
- Iterative Learning Control Systems
- Tribology and Lubrication Engineering
- Gear and Bearing Dynamics Analysis
- Advanced Surface Polishing Techniques
- Engineering Technology and Methodologies
- Engineering and Environmental Studies
- Metallurgy and Material Forming
National Chung Cheng University
2013-2024
Along with increasing speed and acceleration of numerically controlled machine tools, the influence thermal dynamics characteristics on operating accuracy becomes more important. Improvement has turned out to be one crucial problems develop tool high performance. The positioning error a feed drive system, mostly caused by deformation ball screw shaft, can directly affect working tool. In this study, we applied computational approach using finite element method (FEM) simulate expansion...
In the field of precision machining, temperature fluctuation tends to cause most significant machining errors. particular, heat, which is generated in nut ball screw feed system during movement, can deform shaft significantly. order calculate and evaluate thermal deformation shaft, rate heat transfer from must be known. This calculated by subtracting raceway generation nut. Hence, it necessary flux raceway. paper introduces a novel method The new approach also enables calculations for...
Abstract Thermal errors are considered the most significant in precision machining. The heat sources of a turning– milling compound machine (TMCM) diverse and complex. This study proposes new thermal compensation model TMCM to compensate for errors. First, relationship between tool tip deformation direction temperature increase trend is considered. points that have pronounced influence on selected from 76 measured points. Temperature sensitive then identified through F-test feature...
<title>Abstract</title> Turning and milling machines (TMMs) have diverse complex heat sources, which pose challenges to understanding accurately predicting their thermal behavior. This study established a transient 3D model of the TMM using Finite Element Method (FEM) predict temporal evolution temperature deformation fields. The FEM predictions were then compared with experimental results from five machining scenarios for validation, demonstrating accurate prediction average errors 0.9%...