Online heat flux estimation using artificial neural network as a digital filter approach
作者： Hamidreza Najafi , Keith A. Woodbury
DOI: 10.1016/J.IJHEATMASSTRANSFER.2015.08.010
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摘要: Abstract Surface heat flux estimation using temperature measurement data from the interior points is known as inverse conduction problem (IHCP). Several methods have been developed solution techniques for IHCP’s including analytical and numerical approaches. Digital filter representation IHCP (Woodbury Beck, 2013; Beck et al., 1985) one of which can be used near real-time estimation. In this study, artificial neural network (ANN) utilized a digital filter, data. Considering temperatures inputs output, weights interpreted coefficients. The proposed approach both constant dependent material properties. method tested through several test cases exact solutions models. results show that ANN surface advantages disadvantages are also discussed.
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