| 基于多目标遗传算法优化板料拉深成形工艺参数 |
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| 引用本文： | 苏娟华,张文琼,李丽春.基于多目标遗传算法优化板料拉深成形工艺参数[J].机械设计与制造,2009(8). |
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| 作者姓名： | 苏娟华 张文琼 李丽春 |
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| 作者单位： | 1. 河南科技大学材料科学与工程学院,洛阳,471003
2. 一拖(洛阳)福莱格车身有限公司,洛阳,471003 |
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| 基金项目： | 河南科技大学博士科研启动基金 |
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| 摘 要： | 利用人工神经网络构建了板料拉深成形的目标函数模型,建立了板料拉深成形工艺参数和性能评价指标之间的映射关系.以多种工艺参数(压边力、摩擦因数等)作为优化变量,多种成形缺陷(起皱、破裂等)作为优化目标,结合多目标遗传算法和数值模拟,建立了板料拉深成形工艺参数的优化设计模型,大大提高了优化的效率.以油底壳下盖为例,对其拉深成形工艺参数进行了优化,通过对优化结果进行数值模拟可以看出,该优化参数完全避免了各种缺陷的产生,这说明该优化算法具有较好的优化结果.
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| 关 键 词： | 板料拉深 人工神经网络 多目标遗传算法 优化 |
Process parameter optimization of sheet metal forming in drawing process based on multi-objective genetic algorithm |
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| SU Juan-hua,ZHANG Wen-qiong,LI Li-chun.Process parameter optimization of sheet metal forming in drawing process based on multi-objective genetic algorithm[J].Machinery Design & Manufacture,2009(8). |
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| Authors: | SU Juan-hua ZHANG Wen-qiong LI Li-chun |
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| Abstract: | It's establishes the objective functional model of sheet metal forming in drawing process with ANN,a mapping between sheet forming parameters and performance evaluation indexes was built.An optimization model was established with MOGA and numerical simulation,in which several process parameters(e.g.blank holding force,friction coefficient)were optimization variables,and several forming problems(e.g.crinkling,cracking)were optimization objections.At last a model of lower cover of oil tank was provided.The re... |
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| Keywords: | Sheet drawing Artificial neural network Multi-objective genetic algorithm Optimization |
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