Measurement of the void fraction of R-134a flowing through a horizontal tube

Srisomba, Raviwat; Mahian, Omid; Dalkılıç, Ahmet Selim

doi:10.1016/j.icheatmasstransfer.2014.04.004

Cited by 24 publications

(10 citation statements)

References 16 publications

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“…The experimental results showed that the presented correlations could predict void fraction with mean relative error within 20% for intermittent, wavy and annular flow patterns. The correlations (Srisomba et al [9]) are different for the three flow patterns above. Kim et al [10] proposed a capacitance method to measure the space-averaged void fraction in concentric annular flows, derived the expression for the capacitance in terms of a given void fraction, and developed a closed-form formula to predict the void fraction from capacitance measurements.…”

Section: Introductionmentioning

confidence: 89%

“…In addition, void fraction estimation and analysis based on other techniques in a wide range of fields have been studied (Cioncolini and Thome [6]; Celata et al [7]; Meng et al [8]). Srisomba et al [9] proposed new correlations to predict the void fraction by combining the vapour quality and the physical properties of R-134a refrigerant in a horizontal tube using a quick-closing valve and optical observation techniques. The experimental results showed that the presented correlations could predict void fraction with mean relative error within 20% for intermittent, wavy and annular flow patterns.…”

Section: Introductionmentioning

confidence: 99%

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Void Fraction Measurement of Gas-Liquid Two-Phase Flow Based on Empirical Mode Decomposition and Artificial Neural Networks

Wang

Sefiane

Duursma

et al. 2018

Heat Transfer Engineering

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Phone Number: 0 (+44) 131 650 4868, Fax Number: 0 (+44) 131 650 6551 2 ABSTRACT A new void fraction estimation method for gas-liquid two-phase flow combining two differential pressure (DP) signals acquired from a single Venturi tube and based on Empirical Mode Decomposition (EMD) and Artificial Neural Networks (ANN) was experimentally investigated. In order to study gas-liquid distribution in horizontal pipes, two DP signals from the top and bottom sections of the Venturi tube are acquired and EMD is adopted to extract stable and fluctuating components of the DP signals. Experimental data revealed that fluctuating index increases nearly linearly with increasing void fraction when void fraction is less than 0.4. When void fraction is larger than 0.4, this near-linearity ceases. A combination of ANN method and the fluctuating index of DP signals is developed to estimate void fraction. Experimental results show that void fraction based on DP signal from top section of Venturi tube is overestimated because of clustering of bubbles and the scarcity of liquid information when gas-liquid mixture velocity is low. Void fraction is underestimated when the mixture velocity is high. A high gas-liquid slip ratio results in void fraction underestimation. Void fraction prediction performance is satisfactory when void fraction is less than 0.4 and fluctuating index of DP signal less than 1.2. ll f ll kk p            (1)

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Section: Introductionmentioning

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Void Fraction Measurement of Gas-Liquid Two-Phase Flow Based on Empirical Mode Decomposition and Artificial Neural Networks

Wang

Sefiane

Duursma

et al. 2018

Heat Transfer Engineering

View full text Add to dashboard Cite

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“…Srisomba, Mahian [83] CFD numerical approach was used to predict the thermodynamic capacity system using water and R134a.…”

Section: Kilicarslan Andmentioning

confidence: 99%

Mechanical Vapour Compression Refrigeration System: Review Part 1: Environment Challenge

Mahmood

Ali

Noor

2020

International Journal of Applied Mechanics and Engineering

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In Australia and others developed countries, concerns about global warming have increased, and these concerns influence the use of refrigerants as working fluids in mechanical vapour compression refrigeration systems. One of the most important aspects of refrigerant selection is to reduce its impact on the environment and the ozone layer. This paper provides a comprehensive review of various theoretical and experimental studies which have been carried out on air conditioning and refrigeration applications to investigate the effect of refrigerants on the environment. The analysis in this paper reveals that alternative refrigerants are the most suitable working fluids that can be used in refrigeration systems to meet the needs of the environment. This study also suggests that natural types of refrigerants such as water, carbon dioxide, and hydrocarbon will play a significant role in protecting the environment and providing alternative friendly refrigerants to be used in refrigeration and air conditioning systems.

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“…Yashar et al [14] 2.41 Srisomba et al [16] 18.37 Lips and Meyer [61] 3.64 Milkie et al [62] 6.87 Olivier et al [30] 1.94 Hashizume [10] 5.16 Wilson [13] 3.75 Wojtan [63] 7.96 De Kerpel et al [31].…”

Section: Authors (%)mentioning

confidence: 99%

Overview of Void Fraction Measurement Techniques, Databases and Correlations for Two-Phase Flow in Small Diameter Channels

Gardenghi

Filho

Chagas

et al. 2020

Fluids

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Void fraction is one of the most important parameters for the modeling and characterization of two-phase flows. This manuscript presents an overview of void fraction measurement techniques, experimental databases and correlations, in the context of microchannel two-phase flow applications. Void fraction measurement techniques were reviewed and the most suitable techniques for microscale measurements were identified along its main characteristics. An updated void fraction experimental database for small channel diameter was obtained including micro and macrochannel two-phase flow data points. These data have channel diameter ranging from 0.5 to 13.84 mm, horizontal and vertical directions, and fluids such as air-water, R410a, R404a, R134a, R290, R12 and R22 for both diabatic and adiabatic conditions. New published void fraction correlations as well high cited ones were evaluated and compared to this small-diameter void fraction database in order to quantify the prediction error of them. Moreover, a new drift flux correlation for microchannels was also developed, showing that further improvement of available correlations is still possible. The new correlation was able to predict the microchannel database with mean absolute relative error of 9.8%, for 6% of relative improvement compared to the second-best ranked correlation for small diameter channels.

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Measurement of the void fraction of R-134a flowing through a horizontal tube

Cited by 24 publications

References 16 publications

Void Fraction Measurement of Gas-Liquid Two-Phase Flow Based on Empirical Mode Decomposition and Artificial Neural Networks

Void Fraction Measurement of Gas-Liquid Two-Phase Flow Based on Empirical Mode Decomposition and Artificial Neural Networks

Mechanical Vapour Compression Refrigeration System: Review Part 1: Environment Challenge

Overview of Void Fraction Measurement Techniques, Databases and Correlations for Two-Phase Flow in Small Diameter Channels

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