Multiobjective Optimization of Surface Roughness and Tool Wear in High-Speed Milling of AA6061 by Machine Learning and NSGA-II
This work addresses the prediction and optimization of average surface roughness (Ra) and maximum flank wear (Vbmax) of 6061 aluminum alloy during high-speed milling. The investigation was done using a DMU 50 CNC 5-axis machine with Ultracut FX 6090 fluid. Four factors were examined: the table feed...
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| Main Authors: | , , |
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| Format: | Bài trích |
| Language: | English |
| Published: |
Hindawi
2022
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| Subjects: | |
| Online Access: | https://www.hindawi.com/journals/amse/2022/5406570/ https://dlib.phenikaa-uni.edu.vn/handle/PNK/5977 https://doi.org/10.1155/2022/5406570 |
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