Optimization of stator ventilation structure of high‐speed railway traction motor based on the genetic algorithm

Cao, Junci; Yan, Hua; Li, Wenlong; Liu, Dong; Wang, Yu

doi:10.1049/elp2.12263

Cited by 2 publications

(1 citation statement)

References 17 publications

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“…The GA, as a heuristic search algorithm, can solve optimization problems, which has strong global search ability and low requirements for the OF. However, the GA also has poor local search ability and susceptibility to premature convergence, which cannot guarantee the convergence [21][22]. Therefore, GA has been improved.…”

Section: B Algorithm Design For Solvingmentioning

confidence: 99%

Scheduling Model for Prefabricated Component Assembly, Production, and Transportation Stage Based on GA for Prefabricated Buildings

Huo,

Wu,

Cheng

2024

IEEE Access

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With the development of prefabricated buildings in China, the demand for prefabricated components is also increasing. The construction schedule of prefabricated components has heterogeneity and timeliness, which makes the traditional scheduling models not applicable. In order to control the construction process and reduce costs, research is conducted on controlling the construction process of prefabricated components in prefabricated buildings. This study divides the construction process into three stages according to the construction characteristics of prefabricated buildings. The scheduling models of these three stages are established, namely assembly, production, and transportation stages scheduling models.. The scheduling model of the three stages are related to each other through the duration constraints. In addition, an improved genetic algorithm is developed to solve the scheduling model of the assembly stage. Then an improved particle swarm optimization is designed to solve the scheduling model in the production and transportation stages. The results show that the minimum duration of the assembly phase was 8 days. The duration and cost of the production phase cannot be minimized at the same time. The minimum carbon emission duration and transportation cost in the transportation phase are 93.8 hours and 22516 yuan, respectively. The improved genetic algorithm tended to flatten out after nearly 180 iterations. The maximum running time of the improved particle swarm algorithm on the training set is 4.23s, the maximum hyper volume is 0.736, and the maximum anti generation distance is 2.35×10 -3 . The scheduling models of different stages and corresponding solving algorithms are effective and provide technical support for the construction process control of assembly parts. The technical contribution of this study is to optimize the genetic algorithm based on weed invasion algorithm and improve the local search ability of genetic algorithm. Then, the differential evolution algorithm is used to improve the particle swarm optimization algorithm and continuously generate new particles to replace the optimal position.

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Section: B Algorithm Design For Solvingmentioning

confidence: 99%

Scheduling Model for Prefabricated Component Assembly, Production, and Transportation Stage Based on GA for Prefabricated Buildings

Huo,

Wu,

Cheng

2024

IEEE Access

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Research Progress of Enhanced Thermal Evacuation and Cooling Technology for High-Speed Motors

Yan,

Qiang,

Zhao

et al. 2024

Applied Sciences

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In high-speed motors, there is a huge amount of heat generation from core and winding losses, which may result in thermal failures or motor performance deterioration. In the prevention of heat accumulation, efficient cooling technology is critical for smooth and reliable motor movement. This paper summarizes the diverse application of high-speed motor and thermal requirements, such as in electrical devices, turbo-machinery, and high-precision machine tools. Three paths of case convection—cooling, internal ventilation cooling and spindle core cooling—are analyzed. Methods for configuring thermal resistance and improving cooling efficiency are summarized. Among them, coolant flow characteristics and flow channel shapes, gas supply ventilation systems, and methods to reduce air resistance, as well as axial cooling and integrated heat pipe structures, are extensively investigated. Finally, the development prospects of high-speed motor cooling are also forecasted. At present, the primary research directions are to reduce the heat generated by the heat source, utilize the latent heat of the coolant, optimize the cooling flow path of the shell, design an axial air-cooling circulation system, and enhance the heat dissipation of the spindle.

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Optimization of stator ventilation structure of high‐speed railway traction motor based on the genetic algorithm

Cited by 2 publications

References 17 publications

Scheduling Model for Prefabricated Component Assembly, Production, and Transportation Stage Based on GA for Prefabricated Buildings

Scheduling Model for Prefabricated Component Assembly, Production, and Transportation Stage Based on GA for Prefabricated Buildings

Research Progress of Enhanced Thermal Evacuation and Cooling Technology for High-Speed Motors

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