Genetic algorithm based optimization of nozzle profiles for a hydrogen turbo-expander

Zhou, Kaimiao; Zhang, Ze; Deng, Kunyu; Chen, Liang; Chen, Shuangtao; Hou, Yu

doi:10.1016/j.cryogenics.2024.103920

Cryogenics

2024

DOI: 10.1016/j.cryogenics.2024.103920

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Genetic algorithm based optimization of nozzle profiles for a hydrogen turbo-expander

Kaimiao Zhou,

Ze Zhang,

Kunyu Deng

et al.

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2024

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Cited by 2 publications

References 25 publications

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Research on reciprocating sealing performance and leakage rate prediction based on GA-PSO-BPNN hybrid algorithm

Liu,

Wang,

Liu

et al. 2024

ILT

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Purpose This study aims to investigate the sealing performance of reciprocating seals under the effect of rubber abrasion using ABAQUS simulation software, and to propose a prediction framework based on a hybrid algorithm (GA-PSO-BPNN) to predict the leakage of reciprocating seals of downhole gauging instrumentation under different working condition parameters. Design/methodology/approach The authors combined the UMESHMOTION user program with the improved Archard wear model to investigate reciprocating seal performance. GA and a PSO were proposed as ways to enhance the BPNN’s predictive model. Findings The results show that the impact of fluid pressure fluctuations on the wear of the seal lip is more pronounced during the rapid wear phase compared to the steady wear phase. Similarly, variations in compression rate have a greater impact on seal lip wear at different stages of wear. The GA-PSO-BPNN prediction model outperforms the single-prediction model in terms of prediction accuracy. Originality/value The authors investigated sealing performance through simulation software and propose a GA-PSO-BPNN-based fault diagnosis method for rotating machinery. To verify the accuracy of the prediction model, a reciprocating sealing test platform for gauge work cylinders is constructed. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-08-2024-0293/

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Research on reciprocating sealing performance and leakage rate prediction based on GA-PSO-BPNN hybrid algorithm

Liu,

Wang,

Liu

et al. 2024

ILT

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Research on Optimization Design of Physical Education Curriculum Structure Based on Genetic Algorithm

Su,

Wang,

Yan

2024

Applied Mathematics and Nonlinear Sciences

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Factors such as class, class time, teachers, courses, and classrooms influence the optimization of the physical education course structure, making it challenging for the traditional physical education course structure to adapt to the current standards. For this reason, the article uses a genetic algorithm to optimize the structure of the physical education course. Class time, teachers, classrooms, courses, and classes are selected as the variables of the physical education course structure optimization model, and according to the actual situation of physical education course structure in colleges and universities, hard and soft rules for course optimization are formulated, and the construction of the optimization model of physical education course structure is completed based on the principles of physical education course structure optimization. We optimize the traditional genetic algorithm using the simulated annealing algorithm, which addresses the local optimal solution issue in the sports course structure optimization model. Examine the parameters of the improved genetic algorithm, and use the algorithm from this paper to conduct a case study on optimizing the structure of physical education courses. The fitness function value of this algorithm is higher than that of the traditional genetic algorithm from both the students’ and teachers’ points of view. The improved genetic algorithm can get rid of the issue of course structures that don’t work well with each other, which makes the best use of physical education course resources.

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Genetic algorithm based optimization of nozzle profiles for a hydrogen turbo-expander

Cited by 2 publications

References 25 publications

Research on reciprocating sealing performance and leakage rate prediction based on GA-PSO-BPNN hybrid algorithm

Research on reciprocating sealing performance and leakage rate prediction based on GA-PSO-BPNN hybrid algorithm

Research on Optimization Design of Physical Education Curriculum Structure Based on Genetic Algorithm

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