The main objective of this paper is to solve the inverse convection heat transfer problems with particle swarm optimization method. An enhanced particle swarm optimization (EPSO) algorithm is proposed to overcome the shortcoming of earlier convergence of standard PSO algorithms. The performance of EPSO is tested by some benchmark functions; it is shown that EPSO has a strong antilocal trap capability especially for high dimensional multimodal optimization problems. At last, EPSO is used to identify the unknown boundary heat flux in a channel flow. According to the computational results of four test problems, it is clear that the proposed EPSO algorithm is able to estimate the unknown heat flux accurately even when the input data contain measurement error.
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Solution of Inverse Convection Heat Transfer Problem Using an Enhanced Particle Swarm Optimization Algorithm
Peng Ding
e-mail: ztdep@yahoo.com.cn
Peng Ding
College of Storage & Transportation and Architectural Engineering, China University of Petroleum (Hua Dong)
, QingDao, ShanDong 266555, China
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Peng Ding
College of Storage & Transportation and Architectural Engineering, China University of Petroleum (Hua Dong)
, QingDao, ShanDong 266555, China
e-mail: ztdep@yahoo.com.cn
J. Heat Transfer. Jan 2012, 134(1): 011702 (10 pages)
Published Online: November 29, 2011
Article history
Received:
January 23, 2011
Revised:
July 29, 2011
Online:
November 29, 2011
Published:
November 29, 2011
Citation
Ding, P. (November 29, 2011). "Solution of Inverse Convection Heat Transfer Problem Using an Enhanced Particle Swarm Optimization Algorithm." ASME. J. Heat Transfer. January 2012; 134(1): 011702. https://doi.org/10.1115/1.4004854
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