Abstract
A numerical inverse analysis is presented to simultaneously estimate the effective thermal conductivity, the effective volumetric heat capacity as well as the heat transfer coefficient between a porous medium and a hot wire. The direct problem simulates numerically the hot wire technique considering a porous medium sample. The measured temperature data are generated by adding random errors to the simulated temperatures. An iterative procedure, based on minimizing a sum of squares function with the Levenberg-Marquardt method, is used to solve the inverse problem.