The sensitivity of the fitness function comprising of weight coefficients assigned to performance variables in a genetic algorithm for meanline design of a transonic compressor is studied. The sum of the weight coefficients is unity. Six performance variables considered are the pressure ratio, efficiency, De-Haller numbers (for rotor and stator), and diffusion factors (for rotor and stator). Based on prior trials, the optimum weight coefficients for pressure ratio and efficiency were considered 0.3 each in the fitness function. Hence the sum of the weight coefficients for the two De-Haller Numbers and two Diffusion Factors considered is 0.4. The values of assigned weights have a significant impact on optimization outcome. Optimized design trials of weight coefficients with higher weightage to DFR resulted in higher efficiency with lower pressure ratio. Optimized design trials with higher weightages to DEHR and DEHS yielded into higher pressure ratio but lower efficiency. The data generated provides a guideline to choose combinations of weight coefficients for fitness functions for several performance requirements of a similar class of compressors for various applications.


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    Title :

    Sensitivity Analysis of Weight Coefficients Used in Multiobjective Optimization in Genetic Algorithm Method for Axial Flow Compressor Design


    Additional title:

    Lect.Notes Mechanical Engineering




    Publication date :

    2020-08-01


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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