CAJ | 학술논문

将人工神经网络用于建立高Co-Ni二次硬化钢的力学性能预测模型。在此基础上，对此类钢的力学性能与钢的合金成分C,Ni,Co含量及热处理温度之间的关系进行了研究，并将其与实验结果相比较，获得了满意的结果，为高性能材料设计提供了一定的依据。
장인공신경망락용우건립고Co-Ni이차경화강적역학성능예측모형。재차기출상，대차류강적역학성능여강적합금성분C,Ni,Co함량급열처리온도지간적관계진행료연구，병장기여실험결과상비교，획득료만의적결과，위고성능재료설계제공료일정적의거。
Artificial neural network is used to construct the model of properties prediction for high Co-Ni secondary hardening steel.On this basis,the performance of this kind of steel with different alloy elements and heat-treatment temperature has been explored,and a satisfying result has been obtained.This work provides a way to design the material with high performances.