The primary cause of gun barrel erosion is the heat generated by the shell as its travels along the barrel. Therefore, calculating the heat flux input to the gun bore is very important when investigating wear problems in the gun barrel and examining its thermomechanical properties. This paper employs the continuous-time analog Hopfield neural network (CHNN) to compute the temperature distribution in various forward heat conduction problems. An efficient technique is then proposed for the solution of inverse heat conduction problems using a three-layered backpropagation neural network (BPN). The weak generalization capacity of BPN networks when applied to the solution of nonlinear function approximations is improved by employing the Bayesian regularization algorithm. The CHNN scheme is used to calculate the temperature in a gun barrel and the trained BPN is then used to estimate the heat flux of the inner surface of the barrel. The results show that the proposed neural network analysis method successfully solves forward heat conduction problems and is capable of predicting the unknown parameters in inverse problems with an acceptable error.
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e-mail: g960405@ccit.edu.tw
e-mail: sgdeng@ccit.edu.tw
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August 2008
Research Papers
Applying Neural Networks to the Solution of the Inverse Heat Conduction Problem in a Gun Barrel
Y. Hwang,
Y. Hwang
Graduate Student
Department of Weapon System Engineering, Chung Cheng Institute of Technology,
e-mail: g960405@ccit.edu.tw
National Defense University
, No. 190, Sanyuan 1st Street, Dashi Jen, Taoyuan, Taiwan 33509, R.O.C
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S. Deng
S. Deng
Associate Professor
Department of Weapon System Engineering, Chung Cheng Institute of Technology,
e-mail: sgdeng@ccit.edu.tw
National Defense University
, No. 190, Sanyuan 1st Street, Dashi Jen, Taoyuan, Taiwan 33509, R.O.C
Search for other works by this author on:
Y. Hwang
Graduate Student
Department of Weapon System Engineering, Chung Cheng Institute of Technology,
National Defense University
, No. 190, Sanyuan 1st Street, Dashi Jen, Taoyuan, Taiwan 33509, R.O.Ce-mail: g960405@ccit.edu.tw
S. Deng
Associate Professor
Department of Weapon System Engineering, Chung Cheng Institute of Technology,
National Defense University
, No. 190, Sanyuan 1st Street, Dashi Jen, Taoyuan, Taiwan 33509, R.O.Ce-mail: sgdeng@ccit.edu.tw
J. Pressure Vessel Technol. Aug 2008, 130(3): 031203 (8 pages)
Published Online: June 12, 2008
Article history
Received:
April 18, 2006
Revised:
January 9, 2007
Published:
June 12, 2008
Citation
Hwang, Y., and Deng, S. (June 12, 2008). "Applying Neural Networks to the Solution of the Inverse Heat Conduction Problem in a Gun Barrel." ASME. J. Pressure Vessel Technol. August 2008; 130(3): 031203. https://doi.org/10.1115/1.2937763
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