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基于目标应变分布的TC17合金双性能盘预成形形状优化设计 被引量:5

Preform Shape Optimization Design for Acquiring Desired Strain Distribution duringForging of TC17 Alloy Dual-Microstructure Disks
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摘要 目的研究TC17合金双性能盘目标应变分布下的预成形形状优化设计方法。方法采用拉丁超立方试验设计方法对预成形形状设计变量抽样选取样本点,并通过Deform有限元数值模拟获得样本设计变量下的局部应变分布。以局部应变分布与目标应变分布之间的方差最小为目标函数,采用Kriging方程建立近似替代模型预测响应应变误差,并结合遗传算法,以锻件的充填率及材料利用率为约束条件,优化设计预成形形状。结果近似替代模型预测的应变误差与基于有限元数值模拟计算获得的应变误差之间的最大相对误差和最小相对误差分别为10.8%和0.01%。结论这表明Kriging近似替代模型在预测响应应变误差时的精度较高,具有较好的可靠性,采用优化后的预成形形状经多道次等温锻造后的等效应变分布满足目标应变分布的设计要求。 The work aims to propose a method of preforming shape optimization design for TC17 alloy dual-microstructure disks with a desired strain distribution.In the present study,the latin hypercube sampling(LHS)method is applied to select the sample data for the shape design variables,and the local strain field for the sample design variables in dual-microstructure disks is simulated using the Deform finite element(FE)method.The objective function is established by minimizing the variance of local strain distribution and desired strain distribution in the whole forging.The approximate model is established based on Kriging equation to predict this corresponding strain error.Finally,the preform shape with two constrains(filling the die cavity and the volume constancy with less flash)is optimized and designed by the genetic algorithm.The results show that the maxi-mum and minimum difference between the predicted strain errors by Kriging approximate model and FE simulated strain errors is 10.8%and 0.01%,respectively,indicating that the prediction accuracy of Kriging approximate model is very high and rela-tively reliable.After the preform is isothermally forged,the effective strain distribution is close to the desired strain distribution of TC17 alloy dual-microstructure disks.
作者 翟江波 ZHAI Jiang-bo(AVIC Shaanxi Hong Yuan Aviation Forging Company Ltd.,Sanyuan 713801,China)
出处 《精密成形工程》 北大核心 2021年第3期118-124,共7页 Journal of Netshape Forming Engineering
关键词 TC17合金 KRIGING模型 有限元数值模拟 遗传算法 优化设计 TC17 alloy Kriging model FE numerical simulation genetic algorithm optimization design
作者简介 翟江波(1981—),男,高级工程师,主要研究方向为航空材料锻造工艺。
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