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Kinematic Optimum Design of a Torsion-Beam Suspension Using Genetic Algorithms  

Ok, Jin-Kyu (Graduate Student of School of Mechanical Engineering, Pukyong National University)
Baek, Woon-Kyung (School of Mechanical Engineering, Pukyong National University)
Sohn, Jeong-Hyun (School of Mechanical Engineering, Pukyong National University)
Publication Information
Transactions of the Korean Society of Automotive Engineers / v.14, no.1, 2006 , pp. 25-30 More about this Journal
Abstract
This study is about an optimum design to improve the kinematic and compliance characteristics of a torsion-beam suspension system. The kinematic and compliance characteristics of an initial design of the suspension was obtained through a roll-mode analysis. The objective function was set to minimize within design constraints. The coordinates of the connecting point between the torsion-beam and the trailing arm were treated as design parameters. Since the torsion-beam suspension has large nonlinear effects due to kinematic and elastic motion, Genetic Algorithms were employed for the optimal design. The optimized results were verified through a double-lane change simulation using the full vehicle model.
Keywords
Optimum design; Torsion-beam suspension; Genetic algorithms; Kinematic and compliance analysis;
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