سال انتشار: ۱۳۸۸

محل انتشار: هشتمین همایش انجمن هوافضای ایران

تعداد صفحات: ۴

نویسنده(ها):

Reza Taghvi – Assistant Professor, Department of Mechanical Engineeing, Iran University of science and Technology, Tehran
Iman Naghib – MSc student, Department of Mechanical Engineeing, Iran University of science and Technology, Tehran (corresponding author)

چکیده:

Difficulties, due to lack of information about stage-by-stage transonic axial-compressor performance, used in f different aero vehicles and power plants are analyzed. To overcome these issues, a three-layer back-propagation neural-network of Levenberg-Marquardt algorithm is presented and discussed. Available experimental data are used for the neural-network training. Experimental data are limited to some special speeds; other data can be f predicted by neural network method and this method can be used for development of an off-design conditions or overall dynamic simulation of aero vehicles or gas-turbine power-plants.