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Работы, цитирующие эту работу

Работ: 6

  1. Artificial neural network-based optimization of heat absorption process of phase change materials in a novel-designed finned-plate latent heat storage system

    Allam Maalla, Mahidzal Dahari, Rishabh Chaturvedi +5

    СтатьяPhase Change Materials ResearchJournal of Energy Storage2024Цитирований: 4
    ABI

  2. Advancing solar thermal utilization by optimization of phase change material thermal storage systems: A hybrid approach of artificial neural network (ANN)/Genetic algorithm (GA)

    Longyi Ran, Gongxing Yan, Vishal Goyal +8

    СтатьяPhase Change Materials ResearchCase Studies in Thermal Engineering2024Цитирований: 4
    ABI

  3. Optimizing and investigating the charging time of phase change materials in a compact-latent heat storage using pareto front analysis, artificial neural networks, and numerical simulations

    Zhongbiao Zheng, Gongxing Yan, Azher M. Abed +7

    СтатьяPhase Change Materials ResearchJournal of Energy Storage2024Цитирований: 4
    ABI

  4. Heat absorption/release efficiency betterment of phase change material inside a shell-and-tube latent heat storage system under six different conditions of tube and fins

    Peng Duan, Azher M. Abed, Rishabh Chaturvedi +4

    СтатьяPhase Change Materials ResearchJournal of Energy Storage2024Цитирований: 3
    ABI

  5. Overall efficiency increment in a pin-fin microchannel heat sink using response surface methodology and Pareto optimization

    Fadi Althoey, Sinan Q. Salih, Pradeep Kumar Singh +6

    СтатьяHeat Transfer and OptimizationCase Studies in Thermal Engineering2023Цитирований: 1
    ABI

  6. Modeling of hydrogen flow decompression from a storage by a two-stage Tesla valve: A hybrid approach of artificial neural network, response surface methodology, and genetic algorithm optimization

    Chen Kou, Mohammed A. Alghassab, Azher M. Abed +6

    СтатьяFuel Cells and Related MaterialsJournal of Energy Storage2024Цитирований: 0
    ABI