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Conjugate Heat Transfer in Latent Heat Thermal Storage System With Cross Plate Fins

机译:带有交叉板翅片的潜热蓄热系统中的共轭传热

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Latent heat thermal storage systems (LHTS) utilize their latent heat capacity to dissipate high heat fluxes while maintaining quasi-isothermal conditions. Phase change materials (PCMs) absorb a large amount of energy during their phase transformation from solid to liquid, maintaining quasi-isothermal conditions. However, they are often beset with low thermal conductivities which necessitate the use of a thermal conductivity enhancer (TCE) as it is impossible to design a device that can completely avoid sensible heat in the premelting or postmelting phase. In this study, the heat transfer performance of LHTS with cross plate fins as a TCE is numerically investigated for different values of fin thicknesses and fin numbers along the length and breadth. A hybrid artificial neural network coupled genetic algorithm (ANN-GA) is then used to obtain the optimized dimensions for the composite heat sink with cross plate fins as TCE for a fixed volume and a specific-heat flux input. The numerically optimized configuration is finally validated with in-house experiments.
机译:潜热蓄热系统(LHTS)利用其潜热能力来散发高热通量,同时保持准等温条件。相变材料(PCM)在从固态到液态的相变过程中会吸收大量能量,从而保持准等温条件。然而,它们经常被低导热率所困扰,这使得必须使用导热增强剂(TCE),因为不可能设计出能够完全避免在预熔融或后熔融阶段中产生显热的装置。在这项研究中,对沿翅片厚度和翅片数沿长度和宽度的不同值,以横板翅片为TCE的LHTS的传热性能进行了数值研究。然后,使用混合人工神经网络耦合遗传算法(ANN-GA)来获得复合散热片的最佳尺寸,该复合散热片具有固定面积和特定热通量输入的跨板翅片作为TCE。最终通过内部实验验证了数字优化配置。

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