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Multipoint shape optimisation of an automotive radial compressor using a coupled computational fluid dynamics and genetic algorithm approach

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  • Tüchler, Stefan
  • Chen, Zhihang
  • Copeland, Colin D.

Abstract

Automotive turbochargers operate over a wide range and require high efficiencies and pressure ratios. These conflicting requirements and a myriad of design parameters render iterative design techniques unfeasible. However, over the last decades the combination of numerical flow solvers and evolutionary algorithms has established itself as a viable option in the pursuit of reaching desired performance characteristics.

Suggested Citation

  • Tüchler, Stefan & Chen, Zhihang & Copeland, Colin D., 2018. "Multipoint shape optimisation of an automotive radial compressor using a coupled computational fluid dynamics and genetic algorithm approach," Energy, Elsevier, vol. 165(PA), pages 543-561.
    • Handle: RePEc:eee:energy:v:165:y:2018:i:pa:p:543-561
    DOI: 10.1016/j.energy.2018.09.076
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    References listed on IDEAS

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    1. Serrano, José Ramón & Navarro, Roberto & García-Cuevas, Luis Miguel & Inhestern, Lukas Benjamin, 2018. "Turbocharger turbine rotor tip leakage loss and mass flow model valid up to extreme off-design conditions with high blade to jet speed ratio," Energy, Elsevier, vol. 147(C), pages 1299-1310.
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    Cited by:

    1. Tang, Xinzi & Wang, Zhe & Xiao, Peng & Peng, Ruitao & Liu, Xiongwei, 2020. "Uncertainty quantification based optimization of centrifugal compressor impeller for aerodynamic robustness under stochastic operational conditions," Energy, Elsevier, vol. 195(C).
    2. Damian Obidowski & Mateusz Stajuda & Krzysztof Sobczak, 2021. "Efficient Multi-Objective CFD-Based Optimization Method for a Scroll Distributor," Energies, MDPI, vol. 14(2), pages 1-20, January.
    3. Cheng, Hongzhi & Zhou, Chuangxin & Lu, Xingen & Zhao, Shengfeng & Han, Ge & Yang, Chengwu, 2023. "Robust aerodynamic optimization and design exploration of a wide-chord transonic fan under geometric and operational uncertainties," Energy, Elsevier, vol. 278(PB).
    4. Rong Huang & Jimin Ni & Houchuan Fan & Xiuyong Shi & Qiwei Wang, 2023. "Investigating a New Method-Based Internal Joint Operation Law for Optimizing the Performance of a Turbocharger Compressor," Sustainability, MDPI, vol. 15(2), pages 1-23, January.

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