Cited by 2Turbomachinery Performance and OptimizationComputational Fluid Dynamics and AerodynamicsCavitation Phenomena in Pumps

Aerodynamic Optimization Process for Turbocharger Compressor Impellers

Lotz, R. D.·2017·Volume 2B: Turbomachinery

Abstract

This paper presents the progression at BorgWarner Turbo Systems of the aerodynamic optimization process for radial turbocharger compressor impellers used in commercial vehicle applications. The design process was refined over several years, starting from relatively simple, single objective optimizations and moving to increasingly higher complexity with multiple operating points and objectives. CFD and numerical optimization techniques are used extensively with the aim of reducing costly gas stand testing with prototype hardware. Commercial software packages are used throughout for geometry definition, flow field evaluation, as well as an optimization scheduling providing genetic and gradient based algorithms. Design outcomes of the various developments were prototyped and tested at the BorgWarner Technical Center in Arden, NC. CFD predictions are compared with test data and discrepancies quantified. The resulting impeller designs show steady improvements with each design and methodology iteration, to the point that significant improvements in performance over conventional designs can be achieved consistently.

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Crossref · 10.1115/gt2017-64365

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Authors
Lotz, R. D.
Affiliations
BorgWarner (United States) (US)
Corresponding author
Lotz, R. D.
Venue
Volume 2B: Turbomachinery
Published
2017-06-26
OpenAlex
W2746932991
Cited by
2
References
0
Citations by year
2024: 1 · 2020: 1
FWCI
0.48
Type
conference paper
Language
en
Open access
closed
Topics
  • Physical Sciences › Engineering › Aerospace Engineering › Turbomachinery Performance and Optimization
  • Physical Sciences › Engineering › Computational Mechanics › Computational Fluid Dynamics and Aerodynamics
  • Physical Sciences › Engineering › Mechanics of Materials › Cavitation Phenomena in Pumps
Keywords
aerodynamic optimization, radial impeller, multi-objective optimization, multiple operating points, genetic algorithm, gradient-based optimization, CFD validation, prototype testing

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