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基于代理模型技术的白车身结构轻量化设计
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摘要
白车身结构轻量化设计需要满足多项设计需求,例如:车身全局弯曲刚度/模态、扭转刚度/模态、NTF、VTF等。CAE技术由于其高精度仿真分析能力被越来越多地应用于车身各项属性分析。但是,CAE仿真分析也同时带来了高计算量,不利于全局搜索的优化算法进行优化。为了提高车身结构优化效率,同时保证其仿真精度,本文提出了一种高效的车身结构轻量化流程,该流程主要涉及三个方面:①CAE仿真性能灵敏度分析;②基于代理模型优化;③非灵敏部件减厚。该流程应用到一个白车身结构轻量化实例,实现车身结构减重7.5kg。
BIW structure weight reducing needs to meet multi-attributes requirements such as global bend stiffness/modal,torsion stiffness/modal,Noise and velocity transfer function(NTF/VTF),and others.Computer-aided engineering(CAE) is a significant way to enhance the accuracy of design results.However,it also brings computation burden for global optimization.In order to improve the performance and ensure the accuracy of results,a novel process of body structure weight reducing is developed.Three significant phases are described:①Sensitivity analysis for each body CAE performance,②Metamodel-based optimization,③Non-sensitive gauge reducing.An application of BIW structure weight reducing was implemented to lead a significant weight saving over 7.5kg.
引文
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