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焊核区域材料塑性参数在工程设计中十分重要,受试样尺寸限制,其无法通过简单的拉伸试验确定。针对该问题,提出了一种基于粒子群算法与维氏硬度试验的材料塑性参数反演识别方法。该方法中,使用指数材料模型,通过粒子群算法使维氏硬度试验得到的下压过程的力-深度曲线与优化得到的仿真曲线之间的差异最小化,反演得到材料的塑性参数,算法收敛速度快,结果精度高;并与单轴拉伸试验曲线拟合参数进行对比,验证了该研究方法的有效性。
The plastic parameters of the material in the weld core region are very important in the engineering design. Due to the size limitation of the sample, it can not be determined by a simple tensile test. Aimed at this problem, a method of material plastic parameter inversion identification based on PSO and Vickers hardness test is proposed. In this method, the exponential material model is used to minimize the difference between the force-depth curve of the press-down process obtained by the Vickers hardness test and the simulation curve obtained by the particle swarm optimization algorithm. The plastic parameters of the material are obtained by inversion. The convergence speed is quick and the precision of the result is high. Compared with the curve fitting parameters of uniaxial tensile test, the validity of the research method is verified.