A Novel Approach for Modelling and Optimization of Vehicle Damper Performance based on Three Key Variables

M.N. Khajavi, M.H. Vakili, and N.B. Mostafa


Modeling, Design of Experiment, Optimization, Vehicle Damper


Damper is one of the most important components of a vehicle. The main purpose of a damper in a vehicle is providing safety and comfort versus dynamical and impact forces transmitted by road profile. This task is done by damping these forces. This component is made up of some diverse elements so the damper has a large range of performance variables. Therefore obtaining a mathematical model for predicting damper behavior is difficult. Damper designers use experimental and trial error methods to design a damper which requires considerable time and use of precise laboratory facilities and different expertise, and considerable cost [1]. In the absence of analytical models, one of the popular and reliable methods is statistical models. The aim of this research is to develop a statistical model based on the techniques of Design of Experiment (DOE). After validating the model with some experimental data, optimization methods were used to achieve the best performance of the damper, in order the Rebound force follow a target value which is specified by the standard based on the damper rebound velocity.

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