铸造模拟关键热参数的反求优化及应用研究

Research on Inverse Optimization and Application of Key Thermal Parameters in Casting Simulation

铸造过程数值模拟技术已经得到广泛应用,想要获得准确的模拟结果,就需要输入准确的条件参数。然而,通过实验直接测量条件参数却比较困难,部分条件参数甚至无法直接测量获得。应用DOE设计方法进行重力砂铸凝固模型热物性参数敏感性实验,以实验实测温度曲线作为反算优化的初始输入条件,按热物性参数敏感性由高到低依次用ProCAST铸造模拟软件对数值模型的材料热属性、边界散热参数、界面传热系数等热物性关键参数进行反算优化,并将优化获得的热参数进行凝固模拟验证。结果表明,反算优化后的热参数可以准确匹配实测结果,达到无需直接测量而优化条件参数的目的。

The technology of numerical simulation of casting process has been widely used.In order to obtain accurate simulation results,it is necessary to input accurate conditional parameters.However,it is difficult to measure the conditional parameters directly through experiments,and some of the conditional parameters can not even be obtained by direct measurement.The thermal physical parameter sensitivity test of the gravity sand casting solidification model was carried out by using DOE design method.Taking the experimental measured temperature curve as the initial input condition of the inverse calculation optimization.According to the sensitivity of thermal physical parameters from high to low,the key parameters of thermal properties such as material thermal properties,boundary heat dissipation parameters,interface heat transfer coefficient and so on were optimized by ProCAST casting simulation software,and the thermal parameters obtained by the optimization were simulated and verified.The results show that,the optimized thermal parameters can match the measured results accurately,and the parameters can be optimized without direct measurement.