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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    Titel :

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


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Mikulec, Antonin (Autor:in) / Vrsek, Gary (Autor:in) / McCallum, James (Autor:in) / Lee, So-duk (Autor:in)

    Kongress:

    SAE International Congress and Exposition ; 1997



    Erscheinungsdatum :

    1997-02-24




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    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