Technical Papers

Ranny S. Sidhu, Johanna E. Burgueño, Ron C. Averill, and Erik D. Goodman
2003 ASME International Mechanical Engineering Congress and Exposition, Washington, D.C.

While many design optimization approaches are limited to a small number of continuous design variables, the approach described here leads to a productive search over hundreds of variables at a time. This capability has been implemented in HEEDS (Hierarchical Evolutionary Engineering Design System) Professional. HEEDS was applied to two crashworthiness problems using various search agents to evaluate potential designs with different design variable representations and performance measures. 
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Automotive, LS-DYNA

R. Sidhu, J. Burgueño, R.C. Averill, and E.D. Goodman
2003 Abaqus Users' Conference, Munich, Germany

HEEDS design optimization software was used to perform shape optimization of an automotive lower compartment rail and a torque arm bracket. A HEEDS mesh generator was used to model the rail, while Abaqus/CAE was used within the HEEDS environment to create new models for the torque arm. Abaqus solvers were used to evaluate the performance of each potential design. 
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Abaqus, Automotive

Akbar Farahani, Ronald C. Averill, and Ranny Sidhu
2003 CAD-FEM Users' Meeting, Berlin, Postdam, Germany. 

The design optimization approach described here leads to a productive search over hundreds of variables at a time. This capability has been implemented in HEEDS Professional, which uses multiple autonomous agents to hierarchically decompose a problem into subsets with highly decomposed overlapped relationships. Decomposition is effected by using different numbers of design variables, different levels of design variable discretization, and/or other problem-specific divide-and-conquer rules. HEEDS combines evolutionary search algorithms with local optimization techniques. Using explicit finite element codes such as LS-DYNA as the finite element solver within the HEEDS optimization environment, this process has been applied to several automotive rail designs, resulting in significant gains in performance in addition to substantial reductions in mass compared to baseline rails designed by experienced engineers. Two example applications of this method are described herein.
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Automotive, LS-DYNA, Manufacturing