节点文献
神经网络在高强韧钢机械性能研究中的应用
Application of neural networks to study of mechanical properties of high strength and high toughness steels
【摘要】 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。
【Abstract】 Artificial neural network is used to construct the model of mechanical 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.
【关键词】 高Co-Ni二次硬化钢;
人工神经网络;
材料机械性能;
【Key words】 high Co-Ni secondary hardening steel, artificial neural network; material behav;
【Key words】 high Co-Ni secondary hardening steel, artificial neural network; material behav;
- 【文献出处】 沈阳工业大学学报 ,Journal of Shenyang Polytechnic University , 编辑部邮箱 ,2000年06期
- 【分类号】TG142
- 【被引频次】4
- 【下载频次】65