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�������պ����ѧѧ�� 2007, Vol. 33 Issue (04) :401-404    DOI:
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��ˮ͡, κϼ, ����, ���ǿ*
�������պ����ѧ ���շ��������������ص�ʵ��, ���� 100083
Heat transfer analysis using ANN with experimental data of 180° turn channels with rib turbulators
Ding Shuiting, Wei Xia, Tao Zhi, Xu Guoqiang*
National Key Laboratory on Aero-Engines, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

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Abstract�� The heat transfer character inside the 180��°�� turn channel with variable cross-section and different rib turbulators was studied by experiment. The channel is the middle part of a gas turbine blade. The data set evaluated by the experiment was processed by dividing the channel into several sections. A feed-forward neural network based on back-propagation algorithm (BP) was evolved with levenberg-marquardt(LM) algorithm and Bayesian regularization, and a model was established for the result referred before using BP net. It is validated by being compared with curve regression that it is available to use artificial neural networks (ANN) to predict heat transfer character of channel inside a gas turbine blade. And it-s much more efficient than curve regression.
Keywords�� air engines   turbine   convective heat transfer   neural networks   prediction     
Received 2006-05-15;


About author: ��ˮ͡(1967-),��,����������,����,dst@buaa.edu.cn.
��ˮ͡, κϼ, ����, ���ǿ.����������Ĵ��߻�תͨ���������ܵ�Ԥ��[J]  �������պ����ѧѧ��, 2007,V33(04): 401-404
Ding Shuiting, Wei Xia, Tao Zhi, Xu Guoqiang.Heat transfer analysis using ANN with experimental data of 180° turn channels with rib turbulators[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2007,V33(04): 401-404
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