Robust design optimization of suspension system considering steering pull reduction

Park, K.; Heo, Seung-Jin; Kang, Daeoh; Jeong, Jin-Yeon; Yi, J. H.; Lee, J. H.; Kim, K. W.

doi:10.1007/s12239-013-0102-3

Cited by 16 publications

(9 citation statements)

References 4 publications

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“…The DOE approach is used for understanding the correlation between the design parameters of the system and its performance [17]. Essentially, RSM is one of the extended DOE methods which uses a polinomial type regression model y(x) [18]. Principal target of the response surface experiments is to obtain an appropriate model to estimate and analyse the relationship between design variables and system response.…”

Section: Methodsmentioning

confidence: 99%

Optimal kinematic design of a multi-link steering system for a bus independent suspension: An application of response surface methodology

Topaç

Deryal²,

Bahar³

et al. 2015

mech

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Section: Methodsmentioning

confidence: 99%

Optimal kinematic design of a multi-link steering system for a bus independent suspension: An application of response surface methodology

Topaç

Deryal²,

Bahar³

et al. 2015

mech

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“…steering wheel misalignment). A robust design optimization method to reduce steering pull phenomenon is presented in [12], considering the tolerance of suspension system elements, such as hardpoints, spring, damper and bushings.…”

Section: Introductionmentioning

confidence: 99%

Straight Path Handling Anomalies of Passenger Cars Induced by Suspension Component and Assembly Tolerances

Rosa¹,

Felice²,

Grosso³

et al. 2019

IJAME

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The effects on handling due to suspension component and assembly tolerances are analysed focusing on three anomalies affecting passenger cars travelling on straight paths, namely ‘pull to side’, ‘steering wheel misalignment’ and ‘drift leeward’. These anomalies do not constitute safety problems but represent a cost factor in the automotive industry since they occur in small but not negligible percentage of the overall car production. The present contribution is therefore focused on understanding which are their causes, and on reducing their extent, in the specific case of vehicles with front Double wishbone suspension and rear Five arms suspension. To this purpose, the vehicle assembly process is analysed in terms of errors and tolerances for identify the most influential parameters on handling irregularities. Sensitivity analysis by multibody virtual modelling, and subsequent correlation with experimental data from pre-setting and wheel aligner benches, have provide sufficient information for setting tolerance thresholds, able to keep the handling anomalies under study within acceptable bounds. As a result, ‘pull to side’ and ‘steering wheel misalignment’ has been found to be mainly related to the set up phase of wheel angles (front camber angles influencing pull to side, front and rear toe angles influencing steering wheel misalignment), while the main cause of ‘drift leeward’ has been identified with (rear) ride steer. Application of the procedure to a production line led to a consistent reduction (from 3% down to about 1% of the overall production) of anomalous vehicles.

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“…Park et al. 13 used sequential approximation optimization process based on a meta-model to reduce steering pull phenomenon considering the relationship between suspension systems and steering pull phenomenon. However, the coupling relationships among the subsystems are not considered for the optimization of chassis integrated system.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of chassis integrated system for electric wheel vehicle

Zhao

Yang

Wang

2018

Proceedings of the Institution of Mechanical Engineers, Part C:

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In order to improve the overall performance of the electric wheel vehicle, this paper researches the multi-objective optimization method of the chassis integrated system. The dynamic models of integrated system including differential steering system, differential brake system, and active suspension system are established. In order to verify the validity of the vehicle dynamic model and ensure the correctness of the optimization analysis results, the model validation is implemented. Considering the coupling relationship among subsystems, the performance evaluation indexes of steering road feel, steering sensitivity, and suspension ride comfort are deduced under steering and braking conditions. To alleviate the subjectivity in the selection of objective weighting, the deviation sort polymerization method is used to convert the multi-objective model into a single-objective one based on the linear weighted polymerization. Aiming at the optimization characteristic of chassis integrated system, an adaptive weight particle swarm optimization algorithm is proposed to improve the optimization efficiency and convergence. The optimization results show that the optimized chassis integrated system can obtain favorable steering road feel, better steering sensitivity, and suspension ride comfort.

show abstract

Robust design optimization of suspension system considering steering pull reduction

Cited by 16 publications

References 4 publications

Optimal kinematic design of a multi-link steering system for a bus independent suspension: An application of response surface methodology

Optimal kinematic design of a multi-link steering system for a bus independent suspension: An application of response surface methodology

Straight Path Handling Anomalies of Passenger Cars Induced by Suspension Component and Assembly Tolerances

Multi-objective optimization of chassis integrated system for electric wheel vehicle

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