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

Stefan Tüchler, Zhihang Chen and Colin D. Copeland

Energy, 2018, vol. 165, issue PA, 543-561

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.

Keywords: Optimisation; Genetic algorithm; Radial turbomachinery; Computational fluid dynamics; Entropy generation; Blade loading (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:165:y:2018:i:pa:p:543-561

DOI: 10.1016/j.energy.2018.09.076

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