Experimental investigation on the thermal characteristics of ultrathin vapour chamber with in-plane bending

Yu, Jiangying; Li, Yong; Xin, Zhifeng; Chen, Zhaoshu; Deng, Liqiang; Guo, Xiaojun; Chen, Hanyin; He, Hengfei

doi:10.1016/j.applthermaleng.2022.119175

Cited by 11 publications

(2 citation statements)

References 39 publications

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“…The temperature of LED comes not only from its own heat, but also from the ambient temperature. High temperature would lead to the thermal expansion of the entire material and cause permanent damage to the equipment [ 14 ]. Therefore, it is very important to correctly design the heat dissipation of lamps.…”

Section: Evaluation Of Elements Of Led Lightingmentioning

confidence: 99%

Evaluation on LED lighting driving power supply for urban rail vehicles based on adaptive PID algorithm

Huang,

Nie

2024

Heliyon

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Section: Evaluation Of Elements Of Led Lightingmentioning

confidence: 99%

Evaluation on LED lighting driving power supply for urban rail vehicles based on adaptive PID algorithm

Huang,

Nie

2024

Heliyon

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“…It has better global search ability and faster convergence speed and is suitable for various types of optimization problems, including function optimization, combinatorial optimization, scheduling problems, etc. One advantage of artificial bee colony algorithm is its simplicity and ease of implementation, but when solving complex problems, parameter adjustments and problem modeling need to be tailored to specific situations to achieve better optimization results (Yu et al, 2022;Cao and Qian, 2023).…”

Section: Artificial Bee Colony Algorithmmentioning

confidence: 99%

Algorithm for planning shelters in oil and gas energy resource-based cities based on artificial intelligence resilient city model

Liang,

2023

Front. Energy Res.

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Cities based on oil and gas energy resources are crucial to energy production and economic development, but they also face various disasters and security risks. To ensure the safety and well-being of urban residents during disaster events, the planning of urban shelters is crucial. In this paper, comprehensively considering multiple factors such as disaster risk, population distribution, and convenient transportation, the artificial bee colony algorithm is used to optimize the site selection and capacity planning of shelters. By comprehensively evaluating the disaster resistance capacity of urban refuges, the response speed of residents and other related indicators, the planning algorithm of refuges is continuously optimized to better meet the needs of oil and gas energy resource-based cities. The results of the study showed that the average overall disaster resilience of AI-based urban shelters reached 0.64. When the distance to the shelter was 4 km, the average response speed of residents reached 10.22 min, and other indicators also improved. The research shows that the oil and gas energy urban refuge planning algorithm based on the artificial intelligence elastic city model provides an innovative approach for urban planners and disaster managers. Further research and practice will help promote the application of this algorithm in real cities, improving the resilience and disaster resistance of cities and the safety and security level of residents.

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Experimental investigation of the thermal characteristics of a novel pure-metal-based flexible ultrathin vapour chamber

Chen

et al. 2023

Applied Thermal Engineering

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Experimental investigation on the thermal characteristics of ultrathin vapour chamber with in-plane bending

Cited by 11 publications

References 39 publications

Evaluation on LED lighting driving power supply for urban rail vehicles based on adaptive PID algorithm

Evaluation on LED lighting driving power supply for urban rail vehicles based on adaptive PID algorithm

Algorithm for planning shelters in oil and gas energy resource-based cities based on artificial intelligence resilient city model

Experimental investigation of the thermal characteristics of a novel pure-metal-based flexible ultrathin vapour chamber

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