Desenvolvimento de uma técnica experimental para a estimativa de propriedades térmicas usando uma única superfície de acesso "in situ"

Abstract

This work presents a new experimental method developed for obtaining, simultaneously, the thermal conductivity and thermal di usivity of solid materials. The method is based on the use of a new surface probe that has one resistance heater, two termocouples, and one heat ux sensor. The sample is partially heated in a frontal surface. Two regions, heated and non-heated front surface are used to estimate the thermal properties. The technique relies on the minimization of two distinct functions. Both are de ned from the same frontal surface temperature measurements, but using di erent thermal concepts. The rst uses a gain ratio between two surface temperatures for the identi cation of the thermal di usivity. The second is de ned by the well-known square quadratic error function calculated between the experimental and theoretical values of the same surface temperatures. This second procedure allows the estimation of thermal conductivity. In addition, has a study about the behaviour of some parameters that in uence the a gain ratio temperatura concept. The properties were mensure in two di erent sample, PVC and coopper, non-condutor and conductor materials with the deviation less than 1% of the values found in literature. After mensurements, the original thermal models were reduced to others more simple. A new function to mensure the thermal di usivity was proposed using the simple thermal model wiht the same ideia of the gain ratio between two surface temperature measurements. The thermal conductivy is determinated with the same concept when use the original model, but a new position of mensurement of experimental temperatura under the center of the heat ux is necessary. Those reduced models use only one surface to estimate the thermal properties. The results of the properties estimation are the same using the original or the reduce models, but has a signi cant reduction in computacional estimation time using the reduce models because of the time to minimize the functions. So, this thecnique has all requirements to be applied in in situ measurements.