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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers. Part L, Journal of Materials: Design and Application >Development of a computational optimisation system to determine constitutive equation constants for metal alloys
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Development of a computational optimisation system to determine constitutive equation constants for metal alloys

机译:计算优化系统以确定金属合金本构方程常数

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摘要

Simulations of metal forming processes typically use constitutive equations to describe material properties over a wide range of temperatures and strain rates. Classically, determining a set of values for the large number of constants present in more complex constitutive models presented great difficulty to researchers. In this paper, an algorithmic method of determining the constants of such constitutive equations is presented. The Genetic Algorithm implementation utilising MATLAB is described, and example fits to experimental data are presented. A study is performed to improve the performance of the method by combining the Genetic Algorithm and Particle Swarm optimisation methods into a hybrid algorithm and to exploit the inherent advantages of both methods of solution. Comparative performance between the GA-only and hybrid algorithm are presented, and it is found that such a Hybrid Solver is significantly more computationally efficient and produces more accurate parameter estimations.
机译:金属成形过程的模拟通常使用本构剖面方程来描述在宽范围的温度和应变速率上的材料特性。经典地,确定在更复杂的本构模型中存在的大量常量的一组值呈现对研究人员的困难。在本文中,呈现了确定这种组成方程的常数的算法方法。描述了利用MATLAB的遗传算法实现,并提出了实验数据的示例。通过将遗传算法和粒子群优化方法组合成混合算法来进行研究以提高方法的性能,并利用两种解决方法的固有优势。介绍了GA-POS和混合算法之间的比较性能,并发现这种混合求解器显着更高的计算有效并产生更准确的参数估计。

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