Piston design is a challenging engineering problem which involves complex physics and requires satisfying multiple performance objectives. Uncertainty in piston operating conditions and variability in piston design variables are inevitable and must be accounted for. The piston assembly can be a major source of engine mechanical friction and cold start noise, if not designed properly. In this paper, an analytical piston model is used in a deterministic and probabilistic (reliability-based) multi-objective design optimization process to obtain an optimal piston design. The model predicts piston performance in terms of scuffing, friction and noise, In order to keep the computational cost low, efficient and accurate metamodels of the piston performance metrics are used. The Pareto set of all optimal solutions is calculated allowing the designer to choose the “best” solution according to trade-offs among the multiple objectives. Our multi-objective optimization method is demonstrated with simple examples and applied in the design of an automotive piston.


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    Title :

    Piston Design Using Multi-Objective Reliability-Based Design Optimization


    Additional title:

    Sae Int. J. Mater. Manuf
    Sae International Journal of Materials and Manufacturing


    Contributors:

    Conference:

    SAE 2010 World Congress & Exhibition ; 2010



    Publication date :

    2010-04-12


    Size :

    19 pages




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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