Assessment of a Simpler Friction Factor in an Algebraic Solution for Adiabatic Coiled Capillary Tubes

IF 0.8 Q4 THERMODYNAMICS
Thiago Torres Martins Rocha, S. I. D. M. Resende, Hélio Augusto Goulart Diniz, F. A. R. Filho, Raphael Nunes de Oliveira
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引用次数: 1

Abstract

In this work, the performance of an existing algebraic solution for adiabatic coiled capillary tubes, in subcritical cycles, is investigated. However, the C-M&N friction factor, commonly used, was replaced by Schmidt friction factor, which is less complex. Two existing dimensionless correlations were also evaluated for comparison. To assess the effect of altering the friction factor, experimental data collected in the literature were used as reference. Analyzing the present results and that with C-M&N friction factor, it was observed that adopting the Schmidt friction factor does not cause a relevant impact on the solution. The deviations of the predicted versus experimental mass flow rates were comprised in a range between –8% and 12%, with average deviation (AD), absolute average deviation (AAD) and root mean square (RMS) error of –0.1%, 2.7% and 3.4%, respectively. The empirical correlations presented unsatisfactory results, with maximum deviation around 40%. Therefore, it was concluded that using the Schmidt friction factor is adequate to reduce the complexity of the algebraic solution and to maintain the accuracy.
绝热毛细管的一个更简单的摩擦系数的代数解的评估
在这项工作中,研究了现有的绝热螺旋毛细管在亚临界循环中的代数解的性能。然而,常用的C-M&N摩擦因数被施密特摩擦因数所取代,其复杂性较低。还评估了两个现有的无量纲相关性以进行比较。为了评估改变摩擦系数的影响,我们参考了文献中收集的实验数据。分析目前的结果和C-M&N摩擦因数,可以看出,采用施密特摩擦因数不会对溶液产生相关影响。预测质量流量与实验质量流量的偏差在-8% ~ 12%之间,平均偏差(AD)、绝对平均偏差(AAD)和均方根误差(RMS)分别为-0.1%、2.7%和3.4%。经验相关性的结果不令人满意,最大偏差约为40%。因此,使用施密特摩擦因子足以降低代数解的复杂性并保持精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.70
自引率
10.00%
发文量
0
期刊介绍: As the only international journal in the field of air-conditioning and refrigeration in Asia, IJACR reports researches on the equipments for controlling indoor environment and cooling/refrigeration. It includes broad range of applications and underlying theories including fluid dynamics, thermodynamics, heat transfer, and nano/bio-related technologies. In addition, it covers future energy technologies, such as fuel cell, wind turbine, solar cell/heat, geothermal energy and etc.
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