锻压技术

基于多岛遗传算法的圆环镦粗测试方法优化

英文标题：Optimization on ring compression test based on multi-island genetic algorithm

作者：殷强胡成亮赵震

单位：上海交通大学

分类号：TG316

出版年,卷(期):页码：2017,42(5):108-112

摘要：

圆环镦粗法是塑性成形中常用的摩擦因子测试方法，圆环试样尺寸直接影响测试的灵敏度。以两种摩擦条件下内径变化量的差值作为目标，基于有限元模拟采用多岛遗传算法进行圆环试样尺寸的优化，优化结果比例为30∶13∶5，与经典尺寸比例（6∶3∶2）相比，内径变化量的差值提高了47.31%。在此基础上，将优化尺寸与经典尺寸比例作进一步对比，从等效应变场、金属流线分布、接触正压力以及标定曲线等结果，分析了优化尺寸比例的优势。根据优化的试样尺寸比例，开展了相关的实际测试工作，测出3种不同润滑剂的摩擦因子，证实优化方案的可用性。

The ring compression test is a common method to measure friction factor, and the geometric dimension of the ring directly affected the sensitivity of the testing method. Taking the difference of the variation between inner diameters under two different frictional conditions as the goal, the geometric dimension of the ring was optimized based on multi-island genetic algorithm and FEM simulation, and the ratio of the optimized scheme was 30∶13∶5. However, compared with the traditional scheme (6∶3∶2), the difference of the inner diameter variation increased by 47.31%. Based on the improvement, a further comparison between the optimized scheme and the traditional scheme was conducted from the results of the equivalent strain fields, distributions of metal streamline, normal pressures and calibration curves, and the advantages of the optimized scheme were analyzed. Finally, according to the optimized geometric dimension, the practical experiment was also carried out with three friction factors measured under different lubricating conditions. The result shows that this testing method is feasible.

基金项目：

国家自然科学基金资助项目（51475294）

殷强(1991-)，男，硕士研究生胡成亮(1980-)，男，博士，副研究员

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