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

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[47~55]对比
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[47-55] (e) (DED—directed energy deposition)