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A dynamic thermal identification method applied to condutor ... - IEM

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514 V. L. Borges et al.model can be associated with the <strong>dynamic</strong> model given by equation (2). In this case,using the same procedure described in the one-dimensional (1D) case in the previouswork [10] the equivalent <strong>thermal</strong> model can be obtained as the convolution productin the frequency domain. 1 ð f Þ 2 ð f Þ¼G þ 12 ð f Þ 1ð f Þ ð6Þwhere the variable f indicates that Fourier transform was <strong>applied</strong> <strong>to</strong> the variables , ,and G þ 12. A comparison of equation (6) with equation (1) givesG þ 12 ðt Þ ¼hðt Þ ¼ ½ Gðx 1, y 1 , z 1 , t Þ Gðx 2 , y 2 , z 2 , t ÞŠ ð7ÞIt can be observed that as i (t) e i (t) are obtained by discrete measurements, Fouriertransforms can be performed numerically by using the Cooley–Tukey algorithms(Discrete Fast Fourier Transform) for these data [7]. Therefore, the equivalent <strong>thermal</strong>system <strong>to</strong> the <strong>dynamic</strong> system can be represented by:Zð f Þ¼hð f Þ¼ 1ðfÞ 2 ðfÞðfÞ 1¼ Yð f ÞXð f Þð8Þwhere the function Z( f ), also called impedance generalized, is equivalent <strong>to</strong> theresponse in frequency H( f ) defined by equation (2). Observing equations (4) it can beconcluded that the frequency response H( f ) is strongly dependent of the <strong>thermal</strong>properties, which means:Hð f Þ¼ 1ð f Þ 2 ð f Þ¼ function ð, Þð9Þ 1 ð f ÞIt should be observed that the transformed impedance in the f–x plane is a complexvariable which in a polar form can be written byZð f Þ¼Hð f Þ¼Hð f Þ ej’ð f Þð10Þwhere jHj and ’ represent, respectively the modulus and the phase fac<strong>to</strong>r of H. Thephase fac<strong>to</strong>r can be written by’ð f Þ¼arctan g ½Im Hð f Þ=Re H ð f ÞŠ ð11Þwhere Re H( f ) and Im H( f ) are the real and imaginary parts of H.The phase of frequency response H( f ) and the time evolution of superficialtemperatures, T 1 (t), and T 2 (t) are the experimental data used for estimation of <strong>thermal</strong>diffusivity and <strong>thermal</strong> conductivity respectively.2.2. Thermal diffusivity estimation: frequency domainThe fact that the phase fac<strong>to</strong>r is just a function of the <strong>thermal</strong> diffusivity is the greatconvenience of working in the frequency domain. The basic idea here is the observationthat the delay between the experimental and theoretical temperature is an exclusivefunction of . Therefore, the minimization of an objective function, S p , based on the

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