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A tool path optimization approach based on blend feature simplification for multi-cavity machining of complex parts
Yupeng Xin1,2, Shengqiang Yang1, Gangfeng Wang2
1College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan, China.
Science Progress
|December 13, 2019
Summary
This study simplifies blend features for robot machining of complex parts, improving tool path accuracy. An improved genetic algorithm optimizes tool paths for precise cavity machining.
Area of Science:
- Manufacturing Engineering
- Robotics
- Computer-Aided Manufacturing
Background:
- Complex multi-cavity parts often feature blend features, where ideal linear boundaries become arc curves during machining.
- This geometric deviation impacts the precision of robot tool feed positioning, a critical factor in manufacturing accuracy.
Purpose of the Study:
- To develop an automatic tool path planning approach for robot machining that addresses the inaccuracies caused by blend feature geometry.
- To enhance the precision of robot tool feed positions in the machining of complex parts with blend features.
Main Methods:
- Blend feature simplification by constructing line segments to define the machining boundary.
- Accurate measurement and assignment of robot tool feed positions to machining elements for spatial distance calculation.
- Application of an improved genetic algorithm for tool path optimization.
- Automatic work step determination through merging and sorting of machining elements.
Main Results:
- Accurate measurement of robot tool feed positions and calculation of spatial distances between cavities.
- Optimized tool paths generated by the improved genetic algorithm, enhancing machining precision.
- Successful automatic decision-making for work steps, streamlining the machining process.
Conclusions:
- The proposed blend feature simplification approach effectively improves the accuracy of robot tool feed positions in complex part machining.
- The developed prototype system demonstrates the correctness and validity of the automatic tool path planning method.
- This research offers a significant advancement in robotic machining of intricate components, exemplified by aircraft structural part machining.
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