Research Papers

Combined Experimental/Numerical Method Using Infrared Thermography and Finite Element Analysis for Estimation of Local Heat Transfer Distribution in an Internal Cooling System

[+] Author and Article Information
Christian Egger

Institute of Aerospace Thermodynamics (ITLR),
University of Stuttgart,
Pfaffenwaldring 31,
Stuttgart D-70569, Germany
e-mail: christian.egger@itlr.uni-stuttgart.de

Jens von Wolfersdorf

Institute of Aerospace Thermodynamics (ITLR),
University of Stuttgart,
Pfaffenwaldring 31,
Stuttgart D-70569, Germany

Martin Schnieder

Baden CH-5401, Switzerland

1Corresponding author.

Contributed by the International Gas Turbine Institute (IGTI) of ASME for publication in the JOURNAL OF TURBOMACHINERY. Manuscript received August 2, 2013; final manuscript received September 13, 2013; published online November 8, 2013. Editor: Ronald Bunker.

J. Turbomach 136(6), 061005 (Nov 08, 2013) (9 pages) Paper No: TURBO-13-1177; doi: 10.1115/1.4025731 History: Received August 02, 2013; Revised September 13, 2013

In the present study a method for estimating local heat transfer distributions of internal cooling systems is described. Experimental data and finite element analysis are applied for this method. The investigations considered in this paper are based on experiments performed on a two-pass cooling channel connected by a 180 deg bend with internal rib arrangements. The solid walls of the cooling channels are made of a metallic material. During the experiment the temperature response of the outer surface induced by heated internal flow is recorded by infrared thermography. The internal heat transfer distribution is obtained using an optimization routine. For each loop of the optimization a transient thermal simulation of the solid body is performed applying the boundary and inlet conditions of the experiment. The temperature of the outer surface calculated by the finite element simulation is compared to the measured temperature recorded by infrared thermography. The difference of these temperature distributions is minimized by adapting the distribution of the internal heat transfer coefficients. The adaptation is conducted on single elements of the inner surface and will be presented in detail in the paper. This approach allows us to achieve a high resolution in heat transfer while minimizing the required iterations. The combination of experimental data and finite element analysis allows us to consider three-dimensional conduction effects in the solid and the streamwise fluid temperature development. Results are compared to literature data.

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Fig. 1

Optimization routine

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Fig. 2

Experimental facility

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Fig. 3

Schematic depiction of the reference geometry

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Fig. 4

Distribution of the inlet temperature

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Fig. 5

Boundary conditions of the FEM model

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Fig. 6

Structured grid used for CFD analysis [14]

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Fig. 7

Nusselt number distribution obtained by CFD analysis [14]

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Fig. 8

Temperature recorded by infrared camera projected on FEM model

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Fig. 9

Energy balance based on surface temperature distribution

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Fig. 10

Test case convergence

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Fig. 11

Contour plots of the heat transfer coefficient distribution during the optimization routine concerning the validation test case

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Fig. 12

Nusselt number contour plots with different resolutions

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Fig. 13

Contour plots of the Nusselt number distribution obtained by the optimization routine compared to TLC experiments [13]

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Fig. 14

Streamlines within the cooling channel obtained by CFD analysis [14]

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Fig. 15

Area averaged Nusselt numbers of each segment compared to the TLC experiments [13]

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Fig. 16

Fluid temperature development within the cooling channel of the FEM simulation compared to the measurement data at t = 12 s




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