摘要
针对某自主品牌多用途汽车(MPV),进行侧面碰撞的轻量化和稳健性优化设计。优化过程中,提出了基于离散设计变量和噪声因素的组合方法。该方法综合了试验设计(DOE)、近似建模、Monte Carlo采样和基于响应面模型的稳健优化技术,考虑了侧面碰撞工艺参数(关键件板厚)和碰撞工况的波动(移动壁障的位置和高度)。进行了3轮优化,分析了其中的灵敏度、确定性和6σ稳健性。结果表明:优化后车身结构的质量减少4.60 kg,侧面碰撞性能的可靠度高于99.97%。因此,该优化方法能满足响应面模型的精度要求。
Robustness optimization and light-mass of side crash performance were performed for an owned- brand multi-purpose vehicle （MPV）. The optimization method was a combination method based on discrete design variables and noise factors, which including the design of experiments （DOE）, the approximation model, the Monte Carlo sampling technique, and the robust optimization based on a respond surface model, and considering with the process parameters of side crash performance （the thicknesses of key parts） and the differences of a crash load case （the position and the height of a movable barrier）. A three-stage optimization was used to analyzing the sensitivity, the deterministic, and the 6-sigma robustness for side crash. The results show that the body structure mass is reduced by 4.60 kg, while the reliability of side crash performance is higher than 99.97%, after the optimization. Therefore, the method ensures the accuracy of the approximate model to meet the optimization requirements.
出处
《汽车安全与节能学报》
CAS
CSCD
2013年第4期339-347,共9页
Journal of Automotive Safety and Energy
关键词
汽车安全
侧面碰撞
轻量化
试验设计(DOE)
6σ稳健性优化
响应面模型
vehicle safety
side crash
light-mass
design of experiments （DOE）
six sigma robustnessoptimization
respond surface model
