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Application of a statistical design for analyzing basic performance characteristics of the cross-flow Maisotsenko cycle heat exchanger

机译:统计设计在分析横流Maisotsenko循环换热器基本性能特征中的应用

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This paper presents the simplified model generated by response surface methodology (RSM) for analyzing basic performance characteristics of the Maisotsenko cycle heat and mass exchanger. A five-level central composite design (CCD) was employed and filled with the experimental data and data obtained from the validated numerical model. Four performance factors were selected as the representative responses: outlet product airflow temperature, specific cooling capacity, dew point effectiveness and the theoretical COP. The statistical significance, accuracy and overall predictive capability of the model developed was examined using F-test, regression analysis of the coefficient of determination R~2 and absolute average deviation (AAD) by comparing predicted responses with the experimental data. The statistical approach identified the effect of five independent parameters on the selected performance characteristics and the effectiveness of heat and mass transfer processes in the channels of the cross-flow M-cycle exchanger was found to be significantly influenced by supply airflow mass flow rate, inlet air temperature and relative humidity. The models developed allow for the fast and precise calculation of the most important performance factors of the Maisotsenko cycle heat and mass exchangers in a variety of climate conditions. The results of this study have clearly demonstrated high efficiency of the examined heat exchanger and possible ways of its improving.
机译:本文介绍了由响应面方法(RSM)生成的简化模型,用于分析Maisotsenko循环热质交换器的基本性能特征。采用五级中央复合设计(CCD),并填充了实验数据和从经过验证的数值模型获得的数据。选择了四个性能因素作为代表响应:出口产品气流温度,比冷却能力,露点有效性和理论COP。使用F检验,通过将预测响应与实验数据进行比较,使用F检验,确定系数R〜2和绝对平均偏差(AAD)进行回归分析,检验了所开发模型的统计显着性,准确性和整体预测能力。统计方法确定了五个独立参数对所选性能特征的影响,并且发现交叉流M循环换热器通道中的传热和传质过程的有效性受到送风质量流量,进气口的显着影响。空气温度和相对湿度。开发的模型可以快速精确地计算出迈索森科循环热质交换器在各种气候条件下的最重要性能因子。这项研究的结果清楚地证明了所检查的热交换器的高效率及其改进的可能途径。

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