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首先介绍了几种基于回归方法的本构模型,即Arrhenius双曲正弦方程、回复和再结晶统一模型、多项式模型(温度幂指数模型、并联模型、串联模型、逐步回归模型和正交多项式模型)等,再以TB6钛合金为例,对比建立材料本构模型的几种回归方法,总结各种方法的适用范围,并通过误差对比了各种模型的精度,为建立模型服务,有利于在有限元模拟中选择应用。
Firstly, several constitutive models based on regression methods are introduced, that is Arrhenius hyperbolic sine equation, unified model of recovery and recrystallization, polynomial model (temperature exponential model, parallel model, tandem model, stepwise regression model and orthogonal polynomial model) Then, taking TB6 titanium alloy as an example, the author compares several regression methods of establishing constitutive models of materials, summarizes the applicable scopes of various methods, and compares the accuracy of various models by error to serve model establishment, Metamorphosis choose to apply.