基于深度强化学习的数控铣削加工参数优化方法
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邓齐林,鲁娟,陈勇辉,冯健,廖小平,马俊燕
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Optimization method of CNC milling parameters based on deep reinforcement learning
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Qi-lin DENG,Juan LU,Yong-hui CHEN,Jian FENG,Xiao-ping LIAO,Jun-yan MA
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| 表 5 工艺参数组合决策结果 |
| Tab.5 Process parameter combination decision results |
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| 组数 | n/
(r·min−1) | f/
(mm·r−1) | ae/
mm | ap/
mm | Fc/
N | R/
(mm3·min−1) | Ci | | 1 | 1 700.000 | 0.103 | 6.000 | 0.411 | 30.120 | 431.797 | 0.591 | | 2 | 1 725.455 | 0.100 | 6.000 | 0.411 | 29.975 | 427.337 | 0.585 | | 3 | 1 830.909 | 0.098 | 6.000 | 0.404 | 30.568 | 434.142 | 0.581 | | 4 | 1 801.818 | 0.101 | 5.964 | 0.415 | 31.512 | 449.089 | 0.580 | | 5 | 1 674.545 | 0.107 | 6.000 | 0.367 | 27.372 | 394.839 | 0.576 |
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