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Based on Immune Algorithm Single Crystal Finite Element Analysis

机译:基于免疫算法单晶有限元分析

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1040 °C was studied during the period imposed 137MPa tensile creep nickel-base single crystal superalloys γ/γ the evolution of two-phase approach. ANSYS finite element method is using a single crystal alloy with / without external load when the Von Mises stress in the gand γ 'two phase distribution. The comprehensive analysis of the formula, the coefficient values usually experience, not very accurate, this article dealing with Immune Algorithm coefficient. This algorithm uses orthogonal crossover to generate initial population and uses elitist-crossover to increase the good patterns of the population and uses hybrid mutation to increase the ability of local and global optimization. It has shown fascinating results when being used in the optimization of multimodal function. The results showed that: In the creep period, the corresponding cubic γ along the von Mises stress and strain energy density of the crystal face to form raft-like organizations.
机译:研究了1040°C在施加的时段137MPa拉伸蠕变镍基单晶超合金γ/γ的过程中进行了两相方法的演变。当Von在GANDγ'两相分布中,当von误导应力时,ANSYS有限元方法使用单晶合金/没有外部负载。综合分析公式,系数值通常经验,不是非常准确,本文处理免疫算法系数。该算法使用正交交叉来产生初始群体,并使用ELITIST交叉来增加人口的良好模式,并使用混合突变来增加局部和全局优化的能力。当在多模式函数的优化时使用时,它表明了令人着迷的结果。结果表明:在蠕变时段中,沿着von的相应立方γ误导了晶体面的应力和应变能密度形成筏状组织。

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