To address the conflicting goals of minimal piston friction and minimal piston noise, a dynamic power cylinder model was developed to predict piston motion and side loads within the cylinder. This correlated model was the basis of a comprehensive analytical design of experiments (DOE) where both piston noise and piston friction were monitored. The results of the DOE were used to generate metamodels for piston friction and for piston noise. To insure design robustness, variability was introduced into the surrogate models via First Order Reliability Method (FORM). A Pareto curve using 99% probability was constructed and a piston robust to both noise and friction was selected.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Robust Piston Design and Optimization Using Piston Secondary Motion Analysis


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    SAE 2003 World Congress & Exhibition ; 2003



    Publication date :

    2003-03-03




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Robust piston design and optimization using piston secondary motion analysis

    Hoffman,R.M. / Sudjianto,A. / Du,X. et al. | Automotive engineering | 2003


    2003-01-0148 Robust Piston Design and Optimization Using Piston Secondary Motion Analysis

    Hoffman, R. M. / Sudjianto, A. / Du, X. et al. | British Library Conference Proceedings | 2003


    2003-01-0148 Robust Piston Design and Optimization Using Piston Secondary Motion Analysis

    Hoffman, R. M. / Sudjianto, A. / Du, X. et al. | British Library Conference Proceedings | 2003



    Analysis of piston secondary motion

    Tan, Yeow-Chong | Online Contents | 2013