机器学习辅助2000 MPa级弹簧钢成分和热处理工艺开发

杨累, 赵帆, 姜磊, 谢建新

Development of Composition and Heat Treatment Process of 2000 MPa Grade Spring Steels Assisted by Machine Learning

YANG Lei, ZHAO Fan, JIANG Lei, XIE Jianxin

图4 MLDS和P2C模型所设计元素含量和热处理工艺参数的波动分析

Fig.4 Fluctuation analyses of design results by the MLDS and the P2C model (a) Si content (b) Mn content (c) Cr content (d) Mo content (e) quenching temperature (f) quenching time (g) tempering temperature (h) tempering time