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Efficient Computational Procedure for Fatigue Life Assessment Using DOE/DSA Techniques

IP.com Disclosure Number: IPCOM000008913D
Publication Date: 2002-Jul-23
Document File: 3 page(s) / 34K

Publishing Venue

The IP.com Prior Art Database

Abstract

During the early product design stage, it is very important to explore the design space for the optimal and robust design. The current analytical design of experiment (DOE) procedure is not efficient for durability fatigue applications in automobile industries. In the fatigue analysis, the unit-load stress coefficients are needed to compute the stress history and fatigue life. The usual practice is to run finite element analysis (FEA) to obtain those stresses. The FEA is performed using any commercial FEA software and, depending on the size of the model, it can be computationally very expensive. The DOE process works by initially laying out the design points in the space defined by the design parameters. For each design point, the finite element analysis must be performed. The serious drawback with the current DOE procedure is that hundreds of FEA evaluation may be needed to obtain a reasonably accurate fatigue life distribution, which makes the current DOE process undesirable to many engineers in automobile industries. Since automotive engineers are faced with vehicle Computer-Aided Engineering (CAE) models that have up to half million degrees of freedom, the current DOE process is impractical.