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

表5 各模型在训练集和测试集上的性能指标

Table 5 Performance metrics of each model on the training and testing datasets

Mechanical property Model Training set Testing set R2¯ SDR2¯ MAE¯ SDMAE¯ R2¯ SDR2¯ MAE¯ SDMAE¯ UTS SVR 0.926 0.041 28.768 9.797 0.854 0.056 46.561 7.273 GPR 0.937 0.043 32.289 9.971 0.803 0.069 56.619 8.956 Stacking 0.976 0.017 19.026 7.712 0.923 0.023 33.650 3.952 YS SVR 0.923 0.035 25.527 7.055 0.840 0.036 43.442 7.329 GPR 0.934 0.042 28.410 7.131 0.810 0.065 50.098 7.447 Stacking 0.958 0.021 22.802 6.027 0.919 0.021 31.444 3.587 EL SVR 0.901 0.057 5.413 1.113 0.791 0.095 4.736 1.657 GPR 0.906 0.064 5.294 1.093 0.766 0.106 5.861 1.437 Stacking 0.940 0.016 3.022 0.457 0.820 0.075 3.718 0.802