Abstract
A three-dimensional inverse geometry problem (shape identification problem) in determining the unknown irregular surface configurations by utilizing the conjugate gradient method (CGM) and a general purpose commercial code CFD-RC is successfully developed and examined in this study based on the simulated measured temperature distributions on the bottom surface by infrared thermography. Results obtained by using the technique of CGM to solve the inverse geometry problem are justified based on the numerical experiments. Three test cases are performed to test the validity of the present algorithm by using different types of surface shapes, initial guess and measurement errors. Results show that excellent estimations on the unknown surface geometry can be obtained with any arbitrary initial guesses.
Published Version
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