How Data Point Numbers in Material Curve Affect Ansys Mechanical Simulation

Qi Li, Rafal Sulwinksi
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Abstract

Finite element analysis (FEA) plays a vital role in new product design. When designing components with a complex geometry and/or complex loading, the nonlinear elastic-plastic analysis method is recommended in the ASME Boiler and Pressure Vessel Code (BPVC). However, the true stress and true strain material curve must be calculated first before elastic-plastic analysis can be performed. ASME BPVC has provided the method to calculate the material curve, but first, the user has to decide how many data points to use in Ansys. Next, the user needs to pick a plasticity model to generate the curve for simulation. This paper describes how Ansys uses the data points in the material curve to calculate the stress and strain, specifically the sublayer or overlay model, in which the material is assumed to be composed of a number of sublayers or subvolumes. In addition, it includes case studies that evaluate the impact of data point numbers in the material curve on the Ansys simulation accuracy and solve time. It was discovered that the simulation accuracy was slightly affected by the data point numbers in the material curve; however, the data point numbers can have a significant effect on the solve time of each iteration: the more data point numbers, the more solve time for each iteration.
材料曲线中的数据点数如何影响Ansys力学模拟
有限元分析在新产品设计中起着至关重要的作用。当设计具有复杂几何形状和/或复杂载荷的部件时,ASME锅炉和压力容器规范(BPVC)推荐使用非线性弹塑性分析方法。然而,在进行弹塑性分析之前,必须首先计算材料的真应力和真应变曲线。ASME BPVC提供了计算材料曲线的方法,但首先,用户必须决定在Ansys中使用多少个数据点。接下来,用户需要选择一个塑性模型来生成仿真曲线。本文描述了Ansys如何利用材料曲线中的数据点来计算应力和应变,特别是子层或叠加模型,该模型假设材料由许多子层或子体组成。此外,它还包括评估材料曲线中数据点数对Ansys仿真精度和求解时间的影响的案例研究。结果表明,材料曲线中数据点个数对仿真精度影响较小;然而,数据点数对每次迭代的求解时间有显著影响:数据点数越多,每次迭代的求解时间就越长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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