Revista UIS Ingenierías

Vol. 16 No. 2 (2017): UIS Engineering Journal
Articles

Optimization algorithms applied in the real-time thermodynamics properties estimation during a material thermal treatment with microwaves

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  • Edgar García,
  • Ivan Amaya,
  • Rodrigo Correa
Edgar García
Universidad Industrial de Santander
Ivan Amaya
Instituto Tecnológico de Monterrey
Rodrigo Correa
Universidad Industrial de Santander
DOI: https://doi.org/10.18273/revuin.v16n2-2017012

Published 2017-05-17

Keywords

  • Parameter estimation,
  • Microwave heating,
  • Global optimization methods,
  • Inverse problem

How to Cite

García, E., Amaya, I., & Correa, R. (2017). Optimization algorithms applied in the real-time thermodynamics properties estimation during a material thermal treatment with microwaves. Revista UIS Ingenierías, 16(2), 129–140. https://doi.org/10.18273/revuin.v16n2-2017012
Copyright Notice

Abstract

This work considers the real-time prediction of thermal parameters for a cylindrical sample heated in a uniform electromagnetic field. The thermal conductivity ( ) and the heat capacity ( ) were estimated for the present case. The inner volumetric electromagnetic flux radiation process was modeled as uniform and constant in time. The spiral optimization algorithm (SOA), the vortex search (VS), the weighted attraction method (WAM), the unified particle swarm optimization (UPSO), the electromagnetic field optimization (EFO) and the self-regulated fret-width harmony search algorithm (SFHS) were used to solve the ill-posed inverse problem. Results showed that all employed algorithms correctly estimated these two parameter only if the signal-to-noise-ratio of the measured samples (simulated in this work) were above of 30 [dB]. Therefore, for practical purposes, these parameters can be estimated in real-time if a good experimental design and a correctly specified electronic instrumentation are available.

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