Position-Dependent Stability Prediction for Multi-Axis Milling of the Thin-Walled Component with a Curved Surface
Source abstract
Abstract
Time-varying dynamic behaviors are essential to investigate the stability in the thin-walled workpiece milling process, which is usually affected by material removal and position-dependent characteristics of the workpiece along with the tool feed direction. To predict the milling stability with position-dependent, thin-walled component multi-axis milling, an improved structural dynamic modification method with variable mass is proposed in the paper. Firstly, the extraction of multi-axis milling material and the removal process of thin-walled parts with a complex curved surface and variable thickness is completed with CAM software. Then, the material removal of one cutting path as a modification of the structure is divided into multi-cutting steps with equal length to obtain the corrected FRFs in the machining process on the basis of the extended Sherman-Morrison-Woodbury formula. Furthermore, the dynamic characteristics of the initial un-machined workpiece and final machined workpiece are calculated by both experimental modal analysis and FEM. Finally, the multi-axis milling stability is predicted using the extended numerical integrated method, and an aero-engine blade is used to validate the accuracy and effectiveness of the proposed method for multi-axis milling molding parts.
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Research context
OpenAlex topics: Advanced machining processes and optimization · Advanced Surface Polishing Techniques · Manufacturing Process and Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of Education, School of Mechanical Engineering, Shandong University, Jinan 250061, China
National Demonstration Center for Experimental Mechanical Engineering Education, Shandong University, Jinan 250061, China
Funding
National Natural Science Foundation of China · Natural Science Outstanding Youth Fund of Shandong Province · United Fund of Ministry of Education for Equipment Pre-research · Tai Shan Scholar Foundation
References (41)
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