Abstract

The limitation of the experimental methods in thermophysical characterization of composite materials leads to an increased use of inverse parameter estimation techniques. However, in some situations the convergence of the inverse algorithm is impossible due to the correlation of the involved parameters and the existing noises in measurement data. Several different approaches have been used to tackle this problem. In this article, a new approach is utilized to solve it. This new technique combines the wavelet denoising and Levenberg-Marquardt regularization method. In order to examine this technique, a highly ill-posed problem is considered as a test case, that is, the estimation of the composite kinetic parameters during the cure process.

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