0
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

Alstom,
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.

Copyright © 2014 by ASME
Your Session has timed out. Please sign back in to continue.

References

Webb, R. L., 1994, Principles of Enhanced Heat Transfer, John Wiley and Sons, New York.
Han, J. C., Dutta, S., and Ekkad, S. V., 2000, Gas Turbine Heat Transfer and Cooling Technology, Taylor & Francis, New York.
Han, J. C., and Huh, M., 2010, “Recent Studies in Turbine Blade Internal Cooling,” Heat Transfer Res., 41(8), pp. 803–828. [CrossRef]
von Wolfersdorf, J., and Weigand, B., 2010, “Turbine Blade Internal Cooling—Selected Experimental Approaches,” Internal Cooling in Turbomachinery, F.Coletti and T.Arts, eds., von Karman Institute for Fluid Dynamics, Rhode Saint Genese, Belgium.
Coletti, F., Scialanga, M., and Arts, T., 2012, “Experimental Investigation of Conjugate Heat Transfer in a Rib-Roughened Trailing Edge Channel With Crossing Jets,” ASME J. Turbomach., 134(4), p. 041016. [CrossRef]
Lin, M. J., and Wang, T., 2002, “A Transient Liquid Crystal Method Using a 3-D Inverse Transient Conduction Scheme,” Int. J. Heat Mass Transfer, 45(17), pp. 3491–3501. [CrossRef]
Nirmalan, N. V., Bunker, R. S., and Hedlund, C. R., 2003, “The Measurement of Full-Surface Internal Heat Transfer Coefficients for Turbine Airfoils Using a Nondestructive Thermal Inertia Technique,” ASME J. Turbomach., 125(1), pp. 83–89. [CrossRef]
Incopera, F. P., and DeWitt, D. P., 1996, Fundamentals of Heat and Mass Transfer, John Wiley and Sons, New York.
Özisik, M. N., 1985, Heat Transfer: A Basic Approach, McGraw-Hill, Singapore.
Bunker, R. S., 2004, “Latticework (Vortex) Cooling Effectiveness Part 1: Stationary Channel Experiments,” ASME Paper No. GT2004-54157. [CrossRef]
Heidrich, P., von Wolfersdorf, J., and Schnieder, M., 2008, “Experimental Study of Internal Heat Transfer Coefficients in a Rectangular, Ribbed Channel Using a Non-Invasive, Non-Destructive, Transient Inverse Method,” ASME Paper No. GT2008-50297. [CrossRef]
Egger, C., von Wolfersdorf, J., and Schnieder, M., 2013, “Heat Transfer Measurements in an Internal Cooling System Using a Transient Technique With Infrared Thermography,” ASME J. Turbomach., 135(4), p. 041012. [CrossRef]
Schueler, M., Neumann, S. O., and Weigand, B., 2009, “Pressure Loss and Heat Transfer in a 180 Deg Bend of a Ribbed Two-Pass Internal Cooling Channel With Engine-Similar Cross Sections, Part 1: Experimental Investigations,” 8th European Conference on Turbomachinery, Fluid Dynamics and Thermodynamics (ETC8), Graz, Austria, March 23–27, pp. 513–523.
Ungan, N., 2012, “Conjugate Numerical Heat Transfer Simulation of an Industrially Relevant Two-Pass Cooling Channel Connected by a 180 Deg Bend,” Diploma thesis, University of Stuttgart, Stuttgart, Germany.
Dittus, F. W., and Boelter, L. M. K., 1930, “Heat Transfer in Automobile Radiators of the Tubular Type,” University of California Publications in Engineering, Vol. II, University of California Press, Berkley, CA, pp. 443–461.
Flir, 2010, Flir: SC7000 User Manual, DC019U-L ed.

Figures

Grahic Jump Location
Fig. 1

Optimization routine

Grahic Jump Location
Fig. 2

Experimental facility

Grahic Jump Location
Fig. 3

Schematic depiction of the reference geometry

Grahic Jump Location
Fig. 4

Distribution of the inlet temperature

Grahic Jump Location
Fig. 5

Boundary conditions of the FEM model

Grahic Jump Location
Fig. 6

Structured grid used for CFD analysis [14]

Grahic Jump Location
Fig. 7

Nusselt number distribution obtained by CFD analysis [14]

Grahic Jump Location
Fig. 8

Temperature recorded by infrared camera projected on FEM model

Grahic Jump Location
Fig. 9

Energy balance based on surface temperature distribution

Grahic Jump Location
Fig. 10

Test case convergence

Grahic Jump Location
Fig. 11

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

Grahic Jump Location
Fig. 12

Nusselt number contour plots with different resolutions

Grahic Jump Location
Fig. 13

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

Grahic Jump Location
Fig. 14

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

Grahic Jump Location
Fig. 15

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

Grahic Jump Location
Fig. 16

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

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In