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Double Wishbone Suspension Design Based on Design for Six Sigma (DFSS)

Published: 26 October 2020 Publication History

Abstract

A robust design based on DFSS is presented for double wishbone suspension system kinematic and compliance (K&C) performance. Variations in suspension K&C caused by the uncertainties of hard points and bushing stiffness coefficients are minimized. The robust design involves two steps. In the first step, suspension kinematic characteristic are optimized. The objective functions are the toe angle and camber angle, and random design variables are the hardpoints of joints. The bushing stiffness coefficients are assumed as constant design parameters. In the second step, suspension compliance characteristics are optimized, where the bushing stiffness coefficients are random design variables. The optimized hardpoints in the first step are treated as constant design parameters. The optimization result shows that the robustness of suspension K&C performance is improved.

References

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Li, L., Zhang, Y., Wu, S., Chen, L., "Optimization of Suspension Elastomeric Bushing Compliance Under Constraints of Handling, Ride and Durability," SAE Technical Paper 2010-01-0721.
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Chun, H. H., S. J. Kwon., and T. Tak., "Reliability-based design optimization of automotive suspension systems," International journal of automotive technology 8(6): 713--722, 2007.
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    AIAM2020: Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture
    October 2020
    566 pages
    ISBN:9781450375535
    DOI:10.1145/3421766
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 26 October 2020

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    Author Tags

    1. Double wishbone suspension
    2. design for six sigma
    3. design of experiment
    4. sensitivity analysis

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