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Validation of the Gnielinski correlation for evaluation of heat transfer coefficient of enhanced tubes by non-linear regression model: An experimental study of absorption refrigeration system

机译:非线性回归模型对增强管传热系数评价的核心验证:吸收制冷系统的实验研究

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摘要

The Wilson plot method has widely used to determine general heat transfer correlations, but this technique needs considerable experimental data. The Gnielinski correlation, however, simplifies the evaluation of the inside heat transfer coefficient of heating tubes only by using friction factor and hydraulic diameter. Nowadays, enhanced tubes, are used in an absorption refrigeration system to improve the thermal performance of the system. As these enhanced tubes have various heat transfer surfaces, the Wilson plot method based on numerous measured experimental data has been responsible for the evaluation of the Nusselt correlation; the validation of the Gnielinski correlation has not been found yet for enhanced tubes. The current study, thus, pursues to find the validity of the Gnielinski correlation to simplicate the assessment of the inside heat transfer coefficient of enhanced tubes over the Wilson plot method. First, a non-linear regression scheme developed by the Wilson plot method examined the Nusselt correlations of three different types of enhanced tubes including a smooth tube; friction factors of enhanced tubes, then, were measured to apply the Gnielinski correlation. Gnielinski correlation was modified using 103 data points and a new correlation was obtained, which showed a total mean error of 2.1%, and an agreement within ± 5%.
机译:Wilson Plot方法广泛用于确定一般传热相关性,但这种技术需要相当大的实验数据。然而,Gnielinski相关性仅通过使用摩擦因子和液压直径来简化加热管内部传热系数的评估。如今,增强管,用于吸收制冷系统,以提高系统的热性能。由于这些增强管具有各种传热表面,基于许多测量的实验数据的Wilson Plot方法已负责评估尤塞相关性;尚未找到GNIELINSKI相关性的验证,用于增强管。因此,目前的研究追求了Gnielinski相关性的有效性,以简化威尔逊图的增强管内部传热系数的评估。首先,威尔逊图方法开发的非线性回归方案研究了三种不同类型的增强管的良好相关性,包括光滑管;然后测量增强管的摩擦因子以应用Gnielinski相关性。使用103个数据点修改了Gnielinski相关性,并获得了新的相关性,其显示总平均误差为2.1%,并且在±5%内的协议。

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