基于MBC工具箱的汽车内板件成形多目标优化

摘要/Abstract

摘要：

摘要：为了研究成形工艺参数对板料成形回弹量和板料厚度的影响，以某汽车内板件为对象，基于MATLAB软件中MBC (ModelBased Calibration)工具箱建立了参数（摩擦系数、压边力、成形阻力系数和板料尺寸）与目标函数（回弹量和板料厚度）之间的数学模型，借助于MBC工具箱中的CAGE优化模块对目标函数进行优化，得到最佳参数组合，即摩擦系数0.125、压边力350 kN、板料尺寸250 mm×360 mm，拉延筋阻力系数分别为20%、10%、6%和35%.同时，通过有限元模拟和实际生产实践，验证了所提出方法的可行性.

关键词: 汽车内板件, 板料成形, MBC工具箱, 有限元模拟, 多目标函数优化

Abstract:

Abstract： Taking auto inner panels as a research object, a mathematical model for studying the relationship among the friction coefficient, blank holder force, sheet size, the coefficient of drawbeads restraining force with springback and thickness of sheet metal was built based on modelbased calibration (MBC) toolbox using Matlab software in order to study the influence of process parameters on the springback and thickness of sheet metal. An multiobjective function was optimized to get the best combination of parameters by the CAGE optimization module in modelbased calibration toolbox, namely, the friction coefficient is 0.125, the blank holder force is 350 kN, the sheet size is 250 mm×360 mm, the coefficients of drawbeads restraining force are 20%, 10%, 6%, 35%. The numerical simulation and experimental results indicate that this method is feasible.

Key words: auto inner panels, sheet metal forming, modelbased calibration toolbox, finite element simulation, multi-objective function optimization

中图分类号:

夏玉峰，田永生，杨建兵，陈邦华. 基于MBC工具箱的汽车内板件成形多目标优化[J]. 上海交通大学学报（自然版）, 2015, 49(01): 31-36.

XIA Yufeng,TIAN Yongsheng,YANG Jianbing,CHEN Banghua. Multi-Objective Optimization of Auto Inner Panels Based on Model-Based Calibration Toolbox[J]. Journal of Shanghai Jiaotong University, 2015, 49(01): 31-36.

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