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The Shape Identification Problem in Estimating the Geometry of A Three-Dimensional Irregular Internal Cavity

Cheng-Hung Huang1, Chi-An Chen1

Department of Systems and Naval Mechatronic Engineering, National Cheng Kung University, Tainan, Taiwan, R.O.C.

Computer Modeling in Engineering & Sciences 2008, 36(1), 1-22. https://doi.org/10.3970/cmes.2008.036.001

Abstract

A three-dimensional shape identification problem (or inverse geometry problem) in estimating the unknown irregular shape of internal cavity by using the steepest descent method (SDM) and a general purpose commercial code CFD-RC is examined in this study based on the simulated measured temperature distributions on the outer surface by infrared thermography. The advantage of calling CFD-RC as a subroutine in the present shape identification problem lies in its characteristics of easily-handling the problem considered here since the auto mesh function of CFD-RC enables the handling of this moving boundary problem. \newline Three test cases are performed to test the validity and accuracy of the present shape identification algorithm by using different types of cavity shapes, initial guesses and measurement errors. Results show that excellent estimations on the unknown geometry of the internal cavity can be obtained.

Cite This Article

APA Style
Huang, C., Chen, C. (2008). The shape identification problem in estimating the geometry of A three-dimensional irregular internal cavity. Computer Modeling in Engineering & Sciences, 36(1), 1-22. https://doi.org/10.3970/cmes.2008.036.001
Vancouver Style
Huang C, Chen C. The shape identification problem in estimating the geometry of A three-dimensional irregular internal cavity. Comput Model Eng Sci. 2008;36(1):1-22 https://doi.org/10.3970/cmes.2008.036.001
IEEE Style
C. Huang and C. Chen, “The Shape Identification Problem in Estimating the Geometry of A Three-Dimensional Irregular Internal Cavity,” Comput. Model. Eng. Sci., vol. 36, no. 1, pp. 1-22, 2008. https://doi.org/10.3970/cmes.2008.036.001



cc Copyright © 2008 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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