P2.1 - Sensor system to determine the thermal parameters of the materials
- Event
- SENSOR+TEST Conferences 2009
2009-05-26 - 2009-05-28
Congress Center Nürnberg - Band
- Proceedings SENSOR 2009, Volume II
- Chapter
- P2 - Thermal Sensors/Sensing
- Author(s)
- S. Chudzik, S. Grys, W. Minkina - Częstochowa University of Technology, Częstochowa, Poland
- Pages
- 301 - 306
- DOI
- 10.5162/sensor09/v2/p2.1
- ISBN
- 978-3-9810993-5-5
- Price
- free
Abstract
The authors present simulation results of a portable system designed for measuring thermal parameters of materials, mainly widespread thermal insulation materials. The proposition is to use an auxiliary thermometer and a trained artificial neural network to determine parameters of thermal insulation materials. The network is trained on data extracted from a model of a nonstationary heat flow process in the sample of material with a hot probe and auxiliary thermometer, based on a two-dimensional heatconduction model and including heat capacity of the probe handle. To solve the system of partial differential equations describing the model, the finite element method (FEM) was applied. The artificial neural network (ANN) is used to estimate coefficients of the inverse heat conduction problem for solid. The network determines values of the effective thermal conductivity and effective thermal diffusivity on the basis of temperature responses of the hot probe and auxiliary thermometer. Several configurations were evaluated during selection of optimal ANN architecture. The influence of measuring errors on identified values of the thermal parameters was also analyzed using the Monte Carlo technique. All calculations like FEM, training and testing processes as well as the error sensitivity analysis were conducted in the Matlab environment. The proposed method of parameters testing is suitable for temporary measurements in a building site or factory.