سال انتشار: ۱۳۹۰

محل انتشار: نوزدهمین کنفرانس مهندسی برق ایران

تعداد صفحات: ۵

نویسنده(ها):

Mahdi Khosravi – Instrumentation Department, forth South Pars Gas Refining Co., Iranian National gas Company, Asalooyeh, Iran.
Amir Abolfazl Suratgar – Assistant Professor, Electrical Engineering Department, Arak A. University, Arak, Iran

چکیده:

Multilayer thin-film diaphragm has been designed and modeled. Commercial Finite element software, ANSYS was implemented to model the diaphragm. This multi-layer diaphragm can be used as sensor .A simplified model is introduced to reduce the CPU time using APDL macro .The pressure measurement is actually a complicated nonlinear function with multiple variables of sensor output power and test conditions (e.g., temperature, etc.) .The most important factor that effect on multilayer thin-film diaphragm is temperature. In this paper we presented an artificial neural network that compensated the effect of temperature on multilayer thin-film diaphragm