PET (Powertrain Engineering Tool) [1, 2] is based on an object-oriented hierarchy system and therefore each component (parent) has its own sub-component (child) systems. Developing explicit forms of objective functions and constraints is simple due to the object-oriented component system of PET. This system automatically recognizes the geometry of components and related design functions in its sub-component levels. This paper discusses computational efficiency, solution accuracy and robustness of software when using closed-form representatives of the derivatives of objective functions and constraints in sequential quadratic programming. Examples of generating closed-form representatives of the derivatives of objective functions and constraints in C/FORTRAN language syntax by using a symbolic processor, Mathematica [3], and mass reduction of the piston-pin are also presented.


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    Title :

    Applications of Sequential Quadratic Programming to the Optimization of Powertrain Concept Design


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    SAE International Congress and Exposition ; 1997



    Publication date :

    1997-02-24




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Applications of Sequential Quadratic Programming to the Optimization of Powertrain Concept Design

    Mikulec, A. / Lee, S.-D. / McCallum, J. et al. | British Library Conference Proceedings | 1997


    Applications of sequential quadratic programming to the optimization of powertrain concept design

    Mikulex,A. / Lee,S. / McCallum,J. et al. | Automotive engineering | 1997