摘要
在对金属材料进行振动拉伸时 ,材料的本构关系与静态拉伸明显不同 ,因而不能直接引用现有的弹塑性模型来描述。本文以常规频率下振动拉伸时实测的材料应力应变值为样本 ,利用 BP人工神经网络(BPANN)建立了振动加工过程中材料的应力应变关系。这种
When the metal is drawn with vibration, its co nstitutive relationship law, which is obviously different from what it is withou t vibration, cannot be described by ordinary elastic-plastic models. In this pa per, the experiment values of stresses and strains of metals drawn by vibration with middle frequencies are used as training samples of a BP artificial neural n etwork(BPANN). Thus a new stress and strain relationship law of metals is establ ished based on BPANN. The BPANN constitutive model can be used conveniently in t heoretical analysis and engineering applications, especially for vibrating proce dures of metals.
出处
《机械科学与技术》
EI
CSCD
北大核心
2001年第5期795-797,共3页
Mechanical Science and Technology for Aerospace Engineering
基金
辽宁省科学技术基金资助 (编号 :9710 3 7)
关键词
振动拉伸
本构关系
人工神经网络
金属材料
Vibration drawing
Constitutive relationship of metals
BP artificial neural network
