Proceedings of the 2nd International Conference on Aviation Industry, Education, and Regulation, AVINER 2023, 8-9 November 2023, Jakarta, Indonesia

Research Article

Multi-Objective Kriging-Based Optimization For Impeller Centrifugal Compressor

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  • @INPROCEEDINGS{10.4108/eai.8-11-2023.2345844,
        author={Muhamad  Jayadi and Pramudita Satria Palar and Yohanes Bimo Dwianto},
        title={Multi-Objective Kriging-Based Optimization For Impeller Centrifugal Compressor},
        proceedings={Proceedings of the 2nd International Conference on Aviation Industry, Education, and Regulation, AVINER 2023, 8-9 November 2023, Jakarta, Indonesia},
        publisher={EAI},
        proceedings_a={AVINER},
        year={2024},
        month={5},
        keywords={centrifugal compressor impeller multi-objective optimization kriging ehvi},
        doi={10.4108/eai.8-11-2023.2345844}
    }
    
  • Muhamad Jayadi
    Pramudita Satria Palar
    Yohanes Bimo Dwianto
    Year: 2024
    Multi-Objective Kriging-Based Optimization For Impeller Centrifugal Compressor
    AVINER
    EAI
    DOI: 10.4108/eai.8-11-2023.2345844
Muhamad Jayadi1,*, Pramudita Satria Palar1, Yohanes Bimo Dwianto1
  • 1: Bandung Institute of Technology
*Contact email: jayadimuhamad72@gmail.com

Abstract

The centrifugal compressor consists of several parts: an Impeller, Diffuser, and inlet guide Vanes (IGV). The compressor has two important parameters: Pres-sure Ratio and Efficiency. Enhancing one of these parameters will lessen the per-formance of the opposite parameter. The impeller has continuously stepped for-ward and been redesigned to acquire great performance. The main blade's lead-ing-edge design is of primary importance. Several approaches and methods have been developed to increase centrifugal compressor performance. This research will concentrate on multi-objective optimization to increase the overall perfor-mance of the SRV2-O centrifugal compressor's impeller by deforming it. The op-timization process was done by evaluating the goal function using the Kriging-surrogate Model based on Expected Hypervolume Improvement and Computa-tional Fluid Dynamics. The impeller will be optimized by two variables using the control point of Bezier curve. The optimization approaches produced multiple correct answers known as the Pareto front. From the results, this approach in-creases the pressure ratio by 1.33% and the efficiency by 5.22%. Furthermore, the shock wave intensity at the leading edge is reduced, and flow separation to-wards the trailing edge is eliminated.