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Sensitivity analysis and optimisation of suspension bushing using Taguchi method and grey relational analysis
Authors:Sadegh Yarmohammadisatri  Mohammad Hasan Shojaeefard  Abolfazl Khalkhali  Soheil Goodarzian
Institution:1. School of Automotive Engineering, Iran University of Science and Technology, Tehran, Iran;2. School of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran
Abstract:In this paper, a novel method is presented for investigating suspension bushing based on mechanical properties of the bushing, their effective directions, spring stiffness and damping coefficient of bushing. The vehicle vibration model and suspension geometry parameters are used to optimise the vehicle suspension based on multi-body dynamics simulation (ADAMS/CAR) initially. Several experiment tests based on ISO 4128 and ISO 7401 have been performed in one of main Iranian automaker (SAIPA) in order to verify the ADAMS/CAR model. The grey relational analysis based on using Taguchi L27 orthogonal array is used to obtain the optimum suspension. Then the bushing characteristics are optimised considering the indicated method. This method considers a combination of ride comfort and handling qualities of vehicle as objective functions simultaneously. The results of optimum suspension are compared with typical Renault Logan which declares the accuracy and efficiency of this method in optimising suspension bushing.
Keywords:ADAMS/CAR  grey relational analysis  Taguchi  vehicle suspension
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