Application of SEUMRE global optimization algorithm in automotive magnetorheological brake design

Authors:
Adel Younis;Kerem Karakoc;Zuomin Dong;Edward Park;Afzal Suleman
Affiliations:
Department of Mechanical Engineering, University of Victoria, Victoria, Canada;Department of Mechanical Engineering, University of Victoria, Victoria, Canada;Department of Mechanical Engineering, University of Victoria, Victoria, Canada;School of Engineering Science, Simon Fraser University, Burnaby, Canada;Department of Mechanical Engineering, University of Victoria, Victoria, Canada
Venue:
Structural and Multidisciplinary Optimization
Year:
2011

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Abstract

In this paper, the superior performance of a novel space exploration and unimodal region elimination global optimization algorithm, SEUMRE, is demonstrated through comparisons with other well known global optimization techniques, including genetic algorithm (GA), simulated annealing (SA), and a highly nonlinear design problem--the optimal design of automotive magnetorheological brake (MRB). Unlike the conventional brakes, an MRB employs the interaction between a magnetorheological fluid and an applied magnetic field to generate the retarding braking torque. The SEUMRE design optimization algorithm was used to maximize the braking torque and minimize the weight of the brake structure. The computation time and optimized design parameters illustrated SEUMRE's capability to converge to an accurate result faster than the conventional global optimization methods. However, SA provided significantly better optimization results than GA and SEUMRE in terms of the cost function.