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Research Papers

Multidisciplinary Optimization of a Turbocharger Radial Turbine

[+] Author and Article Information
Lasse Mueller

e-mail: lasse.mueller@vki.ac.be

Zuheyr Alsalihi

e-mail: alsalihi@vki.ac.be

Tom Verstraete

e-mail: tom.verstraete@vki.ac.be
von Karman Institute for Fluid Dynamics,
Turbomachinery and Propulsion Department,
1640 Sint-Genesius-Rode, Belgium

1Corresponding author.

Contributed by the International Gas Turbine Institute (IGTI) of ASME for publication in the Journal of Turbomachinery. Manuscript received July 3, 2012; final manuscript received July 18, 2012; published online November 5, 2012. Editor: David Wisler.

J. Turbomach 135(2), 021022 (Nov 05, 2012) (9 pages) Paper No: TURBO-12-1119; doi: 10.1115/1.4007507 History: Received July 03, 2012; Revised July 18, 2012

This paper presents a multidisciplinary design optimization of a turbocharger radial turbine for automotive applications with the aim to improve two major manufacturer requirements: the total-to-static efficiency and the moment of inertia of the radial turbine impeller. The search for the best design is constrained by mechanical stress limitations, by the mass flow and power, and by aerodynamic constraints related to the isentropic Mach number distribution on the rotor blade. The optimization of the radial turbine is performed with a two-level optimization algorithm developed at the von Karman Institute for Fluid Dynamics. The system makes use of a differential evolution algorithm, an artificial neural network (ANN), and a database as a compromise between accuracy and computational cost. The ANN performance predictions are periodically validated by means of accurate steady state 3D Navier-Stokes and centrifugal stress computations. The results show that it is possible to improve the efficiency and the moment of inertia only in a few numbers of iterations while limiting the stresses to a maximum value. Based on the large number of evaluated designs during the optimization, this paper provides design recommendations of a turbocharger radial turbine at least for a good preliminary design.

Copyright © 2013 by ASME
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References

Figures

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Fig. 3

Definition of the solid and fluid meridional

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Fig. 4

Definition of the camber line and 3D-transformation

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Fig. 6

The mesh of the fluid and the solid domain, with a zoom on the leading and trailing edge

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Fig. 1

Baseline impeller design

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Fig. 5

Definition of the blade thickness

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Fig. 2

VKI optimization algorithm

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Fig. 7

Sketch of the Mach number distribution with a detailed view of the rear suction side

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Fig. 9

2-D objective space: efficiency versus moment of inertia (a), zoom on the objective space (b)

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Fig. 10

Averaged ANN prediction error of the efficiency, the moment of inertia, and von Mises stresses

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Fig. 8

Sketch of the interpolation of the performance data on one speed line with respect to the design mass flow

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Fig. 12

Blade trailing edge height versus efficiency (a) and moment of inertia (b)

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Fig. 13

Meridional contour of the baseline and the optimized design

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Fig. 17

Efficiency versus relative blade thickness at the hub (a) and tip (b): a blade thickness of 0.0 and 1.0 indicate the lower and upper bound of the design space

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Fig. 18

Moment of inertia (rel. to baseline design) versus relative blade thickness at the hub (a) and tip (b): a blade thickness of 0.0 and 1.0 indicate the lower and upper bound of the design space

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Fig. 14

Efficiency versus axial sweep of the trailing edge

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Fig. 15

Efficiency versus blade turning at the tip

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Fig. 16

von Mises stresses in the impeller of the baseline and the optimized design: ① and ② indicate regions of max. stresses

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Fig. 11

Blade leading edge height versus efficiency (a) and moment of inertia (b)

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Fig. 19

Averaged isentropic Mach number at blade mid-span from five CFD analysis

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