基于机器学习与多目标优化的304L不锈钢激光粉末床熔融工艺优化研究
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徐青青, 闫震, 郭玉玉, 侯娟, 王皞, 黄爱军
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Research on Optimization of Laser Powder Bed Fusion Process for 304L Stainless Steel Based on Machine Learning and Multi-Objective Optimization
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XU Qingqing, YAN Zhen, GUO Yuyu, HOU Juan, WANG Hao, HUANG Aijun
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表1 数据集中输入特征的取值范围
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Table 1 Value ranges for input features in the entire dataset
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Value type | Powder size μm | Laser spot μm | Laser power W | Scanning speed mm·s-1 | Layer thickness μm | Hatch distance μm | Gauge length mm | Gauge area mm2 | Specimen orientation |
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| Minimum value | 9.00 | 50.00 | 50.00 | 100.00 | 20.00 | 30.00 | 6.00 | 1.00 | Horizontal | | Maximum value | 46.37 | 200.00 | 380.00 | 2000.00 | 120.00 | 200.00 | 51.00 | 63.61 | Vertical | | Mean value | 35.02 | 101.78 | 201.86 | 844.96 | 38.83 | 95.61 | 21.16 | 14.18 | - | | Standard deviation | 7.60 | 38.93 | 80.43 | 397.04 | 13.45 | 26.89 | 9.49 | 11.02 | - |
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