摘要
提出一种利用残缺实验数据建立无钴高强韧钢力学性能与钢的合金成分及热处理条件关系模型的方法 ,依据该方法建立了人工神经网络模型 ,并应用模拟退火算法对无钴高强韧钢进行优化设计。
A mathematical model is proposed to describe the relationship between material mechanical properties and alloy element and heat treatment in Co\|free high performance steels by using deformity experiment data is provided. The artifical neural network model is set up with this new method, and the simulated annealing algorithm is used to optimize the design of the Co\|free high performane steels.
出处
《材料科学与工程》
CAS
CSCD
2000年第3期19-22,共4页
Materials Science and Engineering
基金
国家"95"科技攻关项目资金!资助
关键词
力学性能
无钴高强韧钢
模拟退火算法
设计
mechanical properties
artifical neural network
simulated annealing algorithm
Co\|free high performance steels.
