Determining optimal suspension system parameters for spring fatigue life using design of experiment

This paper presents the optimization of spring fatigue life associated with suspension system parameters using the design of experiment approach. The effects of suspension parameters on spring fatigue life were analyzed because this process can improve spring fatigue life from a distinct perspective...

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Published in:Mechanics & industry : an international journal on mechanical sciences and engineering applications 2019, Vol.20 (6), p.621
Main Authors: Kong, Yat Sheng, Abdullah, Shahrum, Schramm, Dieter, Singh, Salvinder Singh Karam
Format: Article
Language:English
Subjects:
Automobiles
automotive suspension
Computer simulation
Damping
design of experiment
Design of experiments
Design parameters
Ductility
Fatigue life
finite element analysis
Interaction parameters
Life prediction
multiple input regression
Normality
Optimization
Optimization techniques
Parameter identification
Regression analysis
Roads & highways
Simulation
Stiffness
Suspension systems
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Abdullah, Shahrum
Schramm, Dieter
Singh, Salvinder Singh Karam
description This paper presents the optimization of spring fatigue life associated with suspension system parameters using the design of experiment approach. The effects of suspension parameters on spring fatigue life were analyzed because this process can improve spring fatigue life from a distinct perspective. A quarter car model simulation was performed to obtain the force time histories for fatigue life prediction where the suspension parameters were adjusted. Multiple input regression and interaction plots were conducted to identify the interaction between these parameters. A full factorial experiment was performed to determine the optimal suspension settings that would maximize the spring fatigue life. For the regression, a high R 2 value of 0.9078 was obtained, indicating good fitting. The established regression showed normality and homoscedasticity for consistent prediction outcome. Reducing the spring stiffness and sprung mass while enhancing the damping coefficient is therefore suggested to enhance fatigue life.
doi_str_mv 10.1051/meca/2019062
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subjects Automobiles
automotive suspension
Computer simulation
Damping
design of experiment
Design of experiments
Design parameters
Ductility
Fatigue life
finite element analysis
Interaction parameters
Life prediction
multiple input regression
Normality
Optimization
Optimization techniques
Parameter identification
Regression analysis
Roads & highways
Simulation
Stiffness
Suspension systems
title Determining optimal suspension system parameters for spring fatigue life using design of experiment
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