Designing for Six-Sigma Quality With Robust Optimization Using Cae

Document Number: 2002-01-2017

Date Published: July 2002

Author(s):
Andreas Vlahinos - Advanced Engineering Solutions LLC
Subhash G. Kelkar - Ford Motor Co.

Abstract:
Although great advances have been made over the last two decades in the automotive structural design process, tradition and experience guide many design choices even today. The need for innovative tools is stronger now more than ever before as the design engineer is confronted with more complex, often contradictory design requirements such as cost, weight, performance, safety, time to market, life cycle, aesthetics, environmental impact, changes in the industry's business models, etc.

The ever-increasing use of optimization tools in engineering design generates solutions that are very close to the limits of the design constraints, hardly allowing for tolerances to compensate for uncontrollable factors such as manufacturing imperfections. Optimum designs developed without consideration of uncertainty can lead to non- robust designs. Reliability-Based Design Optimization (RBDO) methodologies not only provide improved designs but also a confidence range for simulation-based optimum designs.

In this research effort, a six-sigma robust design formulation is presented along with an example that demonstrates the advantage of robust versus deterministic optimization.

File Size: 404K
Product Status: In Stock

See other papers presented at International Body Engineering Conference & Exhibition and Automotive & Transportation Technology Congress, July 2002, Paris, FRANC, Session: CAE Applications

Purchase more technical papers and save! With TechSelect, you decide what SAE Technical Papers you need, when you need them, and how much you want to pay. Learn more >