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 |
| 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 |
| XU Qingqing, YAN Zhen, GUO Yuyu, HOU Juan, WANG Hao, HUANG Aijun |
| 图14 试样S1、S2和S3的应力-应变曲线,力学性能预测值和测量值对比,以及与采用不同增材制造和锻造工艺制备的304L不锈钢的拉伸性能[ |
| Fig.14 Stress-strain curves of S1 (a), S2 (b), and S3 (c) samples from three validation experiments; comparison between predicted and measured tensile properties of S1-S3 samples (d); comparison of tensile properties of 304L stainless steels obtained by this work and other various additive manufacturing and forging processes[ |
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