Introduction: This work considered real-time prediction of physicochemical parameters for a sample heated in a uniform electromagnetic field. Methodology: This work initiated with a literature search, which showed a steadily increasing of research works dealing with inverse problems. As a demonstrative model, we estimated the thermal conductivity and the volumetric heat capacity (A sample (with known geometry) was subjected to electromagnetic radiation, generating a uniform and time constant volumetric heat flux within it. Real temperatura profile was simulated adding white Gaussian noise to the original data, obtained from the theoretical model. For solving the objective function, simulated annealing and genetic algorithms, along with the traditional Levenberg-Marquardt method were used for comparative purposes. Results: results showed similar findings of all algorithms for three simulation scenarios, as long as the signal-to-noise-ratio sits at least at 30 [dB]. Furthermore, Genetic Algorithms gave acceptable results, and improve the search space of the other two methods. Conclusion: Finally, for practical purposes, the estimation procedure presented here requires both, a good experimental design and a correctly specified electronic instrumentation. If both requirements are satisfied simultaneously, it is posible to estimate these type of parameters on-line, without need for an additional experimental setup.
calentamiento con microondas, problemas inversos, estimación de parámetros, campo electromagnéticoMicrowave heating, inverse problems, parameter estimation, electromagnetic field
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