【摘 要】
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In this study,a grid-based continuous Ant Colony Optimization (ACO) algorithm was applied to the inverse problem of a one-dimensional (1-D) coupled radiation and conduction heat transfer.To overcome t
【机 构】
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Institute of Aeronautical and Astronautical Thermalphysics,Harbin,P. R. China,150001
【出 处】
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2013年动力工程及工程热物理全国博士生学术论坛
论文部分内容阅读
In this study,a grid-based continuous Ant Colony Optimization (ACO) algorithm was applied to the inverse problem of a one-dimensional (1-D) coupled radiation and conduction heat transfer.To overcome the local convergence of the Basic Ant Colony Optimization (BACO) algorithm for continuous domain problems,a Homogenous Ant Colony Optimization (HACO) algorithm was developed.To illustrate the performances of these algorithms,the thermal conductivity,absorption coefficient and scattering coefficient of the 1-D homogeneous semi-transparent medium were retrieved.The sensitivity coefficient with respect to the inversion parameters was analyzed,on the basis of which the objective function was designed.The temperature and radiative heat flux simulated by the Finite Volume Method (FVM) were served as input for the inverse analysis.The HACO algorithm was proved to be effective and robust,which has the potential to be implemented in various inverse heat transfer problems.
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