T形管液压成形自适应径向基函数优化设计

发布时间：2018-07-03 02:51

本文选题：车辆工程 + T形管液压成形　；参考：《上海交通大学学报》2017年11期

【摘要】：讨论T形管液压成形加载路径代理模型优化的设计.采用径向基函数(RBF)模型,引入自适应优化算法,通过逐步向静态RBF模型样本库中增加样本点的方法,提升最优点附近局部近似计算精度,进而提升全局精度并获得最优解.该方法兼顾了优化效率与计算精度.首先通过数值算例证明此方法应用于全局优化的有效性;然后,以管件与中间冲头接触面积最大为优化目标,以最大减薄率小于对标实验值、成形高度大于对标实验值为约束条件,通过拉丁方试验设计抽取一定数量的样本点并调用实际分析模型构建T形管液压成形加载路径优化自适应RBF模型,开展载荷路径优化设计.结果表明,在最小厚度与成形高度不变的情况下,T形管与中间冲头的接触面积较对标实验值提高了71.912%.
[Abstract]:The optimization design of loading path agent model for T-tube hydroforming is discussed. The radial basis function (RBF) model is adopted and adaptive optimization algorithm is introduced. By adding the sample points to the static RBF model sample base step by step, the local approximate calculation accuracy near the best point is improved, and the global precision is improved and the optimal solution is obtained. This method takes into account the optimization efficiency and calculation accuracy. The effectiveness of the method applied to global optimization is proved by numerical examples, and then the maximum contact area between pipe fittings and middle punch is taken as the optimization objective, and the maximum thinning rate is less than the standard experimental value. Because the height of forming is larger than the experimental value of the standard, a certain number of sample points are taken from the Latin square test design and the practical analysis model is called to construct the adaptive RBF model for the loading path optimization of T-tube hydroforming. Carry out load path optimization design. The results show that the contact area between the T-tube and the middle punch increases 71.91212 when the minimum thickness and the forming height are not changed.
【作者单位】：吉林大学汽车工程学院;
【基金】：国家自然科学基金项目(51175218)资助
【分类号】：TG394

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