Multi-Objective Parameter Optimization of Pulse Tube Refrigerator Based on Kriging Metamodel and Non-Dominated Ranking Genetic Algorithms

Structure parameters have an important influence on the refrigeration performance of pulse tube refrigerators. In this paper, a method combining the Kriging metamodel and Non-Dominated Sorting Genetic Algorithm II (NSGA II) is proposed to optimize the structure of regenerators and pulse tubes to obt...

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Bibliographic Details
Published in:Energies (Basel) 2023-03, Vol.16 (6), p.2736
Main Authors: Zhao, Hongxiang, Shao, Wei, Cui, Zheng, Zheng, Chen
Format: Article
Language:English
Subjects:
Acoustics
Algorithms
Cold
Cold storage
Cooling
Design and construction
Design of experiments
Efficiency
Gases
Genetic algorithms
heat and mass transfer
Heat conductivity
Heat transfer
Iterative solution
Kriging model
Mathematical optimization
Metamodels
multi-objective optimization
Multiple objective analysis
NSGA II
Optimization
Pressure drop
pulse tube
Pulse tubes
Refrigeration
Refrigerators
Regenerators
Simulation
Sorting algorithms
Stainless steel
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Summary:Structure parameters have an important influence on the refrigeration performance of pulse tube refrigerators. In this paper, a method combining the Kriging metamodel and Non-Dominated Sorting Genetic Algorithm II (NSGA II) is proposed to optimize the structure of regenerators and pulse tubes to obtain better cooling capacity. Firstly, the Kriging metamodel of the original pulse tube refrigerator CFD model is established to improve the iterative solution efficiency. On this basis, NSGA II was applied to the optimization iteration process to obtain the optimal and worst Pareto front solutions for cooling performance, the heat and mass transfer characteristics of which were further analyzed comparatively to reveal the influence mechanism of the structural parameters. The results show that the Kriging metamodel presents a prediction error of about 2.5%. A 31.24% drop in the minimum cooling temperature and a 31.7% increase in cooling capacity at 120 K are achieved after optimization, and the pressure drop loss at the regenerator and the vortex in the pulse tube caused by the structure parameter changes are the main factors influencing the whole cooling performance of the pulse tube refrigerators. The current study provides a scientific and efficient design method for miniature cryogenic refrigerators.
ISSN:1996-1073
1996-1073
DOI:10.3390/en16062736