
A Study of Thermal Contact using Nonlinear System Identification Models
Author(s) -
Mohammad Hassan Shojaeefard,
K. Goudarzi,
Alireza Noorpoor,
Mohammad Fazelpour
Publication year - 2008
Publication title -
american journal of engineering and applied sciences
Language(s) - English
Resource type - Journals
eISSN - 1941-7039
pISSN - 1941-7020
DOI - 10.3844/ajeassp.2008.16.23
Subject(s) - nonlinear system , identification (biology) , thermal , system identification , computer science , engineering , control theory (sociology) , control engineering , physics , artificial intelligence , data modeling , meteorology , control (management) , quantum mechanics , botany , database , biology
One interesting application of system identification method is to identify and control the heat transfer from the exhaust valve to the seat to keep away the valve from being damaged. In this study, two co-axial cylindrical specimens are used as exhaust valve and its seat. Using the measured temperatures at different locations of the specimens and with a semi-analytical method, the temperature distribution of the specimens is calculated and consequently, the thermal contact conductance is calculated. By applying the system identification method and having the temperatures at both sides of the contact surface, the temperature transfer function is calculated. With regard to the fact that the thermal contact has nonlinear behavior, two nonlinear black-box models called nonlinear ARX and NLN Hammerstein-Wiener models are taken for accurate estimation. Results show that the NLN Hammerstein-Wiener models with wavelet network nonlinear estimator is the best