Transactions of Nanjing University of Aeronautics & Astronautics
Improved Particle Swarm Optimization for Solving Transient Nonlinear Inverse Heat Conduction Problem in Complex Structure
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Abstract:
Accurately solving transient nonlinear inverse heat conduction problems in complex structures is of great importance to provide key parameters for modeling coupled heat transfer process and the structure’s optimization design. The finite element method in ABAQUS is employed to solve the direct transient nonlinear heat conduction problem. Improved particle swarm optimization （PSO） method is developed and used to solve the transient nonlinear inverse problem. To investigate the inverse performances， some numerical tests are provided. Boundary conditions at inaccessible surfaces of a scramjet combustor with the regenerative cooling system are inversely identified. The results show that the new methodology can accurately and efficiently determine the boundary conditions in the scramjet combustor with the regenerative cooling system. By solving the transient nonlinear inverse problem， the improved particle swarm optimization for solving the transient nonlinear inverse heat conduction problem in a complex structure is verified.
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Project Supported:
This work was supported by the National Natural Science Foundation of China （Nos.12172078， 51576026） and the Fundamental Research Funds for the Central Universities in China （No.DUT21LK04）.
Clc Number:
V19
CHINA AERO-SCIENCES
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