Multi-Disciplinary Design Optimization for Automotive Development
Automotive companies have become increasingly educated in safety related performance, setting the bar higher for automotive crashworthiness.Process Automation and Design Optimization (PIDO) tools help crash engineers to reach these safer designs in a shorter period.In this paper, various application cases are used to demonstrate how PIDO tools can leverage your existing simulation codes.In the first application case, a multi-disciplinary crash optimization case, executed at an automotive company, is discussed in detail.How can you optimize systems while taking into account multiple different government safety regulations? How can you reduce the throughput time of your CPU intensive crash simulations? How can you manage and visualize the obtained data? In the second application case, an industrial example of an A-pillar trim design optimization for occupant head safety is presented.During the optimization the variability present in actual testing conditions is also taken into account.The analysis aims mainly at minimizing head injury by using a Reliability-based approach that takes into account a probabilistic constraint formulation.The third case presents the optimization of an aluminum frame side rail, which takes front crash and also static behavior as its optimization objective and constraints.Both simulations should be put in the one optimization loop.An integrated design process containing 7 simulations in Optimus is introduced in case four, multiple conflicting goals are optimized in a realistic time.
Jiyun Jiang Roberto dIppolito Wei Sun Chanchan Peng
Noesis Solutions China,200032,Shanghai,China Noesis Solutions N.V.,3001,Leuven,Belgium Cybernet Systems (Shanghai) Co.,Ltd,200032,Shanghai,China (Shanghai) Co.,Ltd,200032,Shanghai,China
国际会议
黄山
英文
1-9
2012-06-18（万方平台首次上网日期，不代表论文的发表时间）