Experimental Heat Transfer ( IF 2.5 ) Pub Date : 2022-05-17 , DOI: 10.1080/08916152.2022.2073488 Harpreet Kaur Aasi 1 , Manish Mishra 1
ABSTRACT
Non-uniformity in flow is the veritable situation in the case of heat exchangers and a decisive aspect of the design of heat exchangers. The extensive experimental investigation is ushered for compact three-fluid heat exchanger with cross-flow configuration under three distinct flow non-uniformities at the inlet of central fluid. The maximum augmentation of 3.4% in cooling efficacy is marked for and configuration under (flow non-uniformity type 3) condition. Artificial neural network (ANN) prognosis is perpetrated and the thermo-hydraulic efficacy is more accurately predicted by ANN configuration 3-4-4 under flow non-uniformity with an absolute fraction of variance almost equal to one.
中文翻译:
流动非均匀性下错流三流体紧凑型换热器的研究:基于神经网络预测的实验研究
摘要
流动不均匀是热交换器的真实情况,也是热交换器设计的决定性方面。在中心流体入口处存在三种不同的流动不均匀性的情况下,针对具有错流结构的紧凑型三流体换热器进行了广泛的实验研究。冷却效果最大提升 3.4%和配置下(流动不均匀性类型3)条件。在绝对方差分数几乎等于 1 的流动不均匀性下,进行人工神经网络 (ANN) 预测并通过 ANN 配置 3-4-4 更准确地预测热工水力功效。