Hybrid computational and experimental approach for the study and optimization of mechanical components

Abstract

Increased demands on the performance and efficiency of me- chanical components impose challenges on their engineering design and optimization, especially when new and more demanding applica- tions must be developed in relatively short periods of time while satisfy- ing design objectives, as well as cost and manufacturability. In addition, reliability and durability must be taken into consideration. As a conse- quence, effective quantitative methodologies, computational and experi- mental, should be applied in the study and optimization of mechanical components. Computational investigations enable parametric studies and the determination of critical engineering design conditions, while ex- perimental investigations, especially those using optical techniques, pro- vide qualitative and quantitative information on the actual response of the structure of interest to the applied load and boundary conditions. We discuss a hybrid experimental and computational approach for investiga- tion and optimization of mechanical components. The approach is based on analytical, computational, and experimental solutions (ACES) meth- odologies in the form of computational, noninvasive optical techniques, and fringe prediction (FP) analysis tools. Practical application of the hy- brid approach is illustrated with representative examples that demon- strate the viability of the approach as an effective engineering tool for analysis and optimization. © 1998 Society of Photo-Optical Instrumentation Engi- neers. (S0091-3286(98)00405-X)