Optimization Driven Methodology to Improve the Body-in-White Structural Performance

摘要

To evaluate the performance of Body-in-white design different attributes needs to be evaluated at various design levels. The current paper focus on evaluation and improvement of Body in white structure in detailed design stage of product development by identifying common performance contributors with multiple model inputs and design validation plans to achieve global performance of the structure. This paper explains the methodology to evaluate the results of Initial Analysis and design iterations for multiple Design verification plans individually and also combined. Sensitivity study is carried out by Multi model DOE (Design of experiments) optimization method to identify the global performance effecting contributors for each design validation plan. The methodology could generate a design which improve stiffness on local joinery sections and also global structural stiffness parameters in both static and dynamic condition by keeping the overall mass in acceptable range. Evaluating and improving the Body-in-white Model performances for NVH and stiffness Design Validation Plans in single process, not only saves the simulation time but also provides common design changes to meet required Global performance of structure in short turnaround time on design validation phase of vehicle program and helps to meet the overall current demanding product development timelines in Automotive industry.