Investigations on the slug two-phase flow in horizontal pipes: Past, presents, and future directives

Mohmmed, Abdalellah O.; Al-Kayiem, Hussain H.; Osman, Ahmad

doi:10.1016/j.ces.2021.116611

Cited by 23 publications

(12 citation statements)

References 178 publications

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“…Additionally, properties of the liquid phase in transportation pipelines vary as well, such as salinity, temperature and pH, etc. In the present research, the received signal for different temperatures (25-80 °C), salinities (0-80 g L −1 ), and pH (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12) under alternate wetting at 2 Hz immersion frequency is shown in Figure 3f-h, respectively. Additionally, the effect of the above liquid properties on the received signal is also investigated at other immersion period frequencies (Figures S8,S10,S12, Supporting Information).…”

Section: Fundamental Analysis Of Teng-based Multiphase Flow Sensor Pe...mentioning

confidence: 82%

“…Due to the complicated working conditions of the industrial multiphase flow pipeline, the size and velocity of the liquid or air slug arbitrarily change, leading to that the water and air immersion periods are commonly different. [7,45] Therefore, a measurement test under alternate wetting with different water/air immersion periods is conducted. As shown in Figure 3e, the measured water or air immersion period is still in line with the theoretical values (the lowest accuracy is still above 97%), illustrating that the present sensor is suitable for more complex working conditions.…”

Section: Fundamental Analysis Of Teng-based Multiphase Flow Sensor Pe...mentioning

confidence: 99%

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A Self‐Powered Multiphase Flow Detection Through Triboelectric Nanogenerator‐Based Displacement Current

Ma,

Wang,

Zhang

et al. 2024

Advanced Energy Materials

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Accurate measurement of complicated multiphase flow is crucial to the safety and efficiency of petroleum and chemical industrial facilities. However, the existing multiphase flow detection techniques are not applicable to pipelines in remote regions including deserts or deep seas, due to the high cost of providing a stable power supply. Herein, a self‐powered multiphase flow sensor, composed of a liquid‐driven triboelectric nanogenerator (TENG) ‐based signal generator, a ring‐type transmitter, and a string‐type receiver, is proposed. Theoretical modeling of displacement current between transmitter and receiver implies that the received current signal can accurately reflect the wetting state of the receiver, validated by a combined experimental (accuracy above 97%) and simulation study. Coupling with a quantitative analysis algorithm, a multiphase flow detection system with numerous receiver measurement points is developed to precisely monitor various flow parameters, including slug frequency (one point), slug length (two points), and flow pattern (four points), which is verified by spontaneous high‐speed camera recordings of water–air flow. The present work provides a paradigm‐shift way to develop a self‐powered, inexpensive, and accurate technique to detect multiphase flow at remote industrial facilities.

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Section: Fundamental Analysis Of Teng-based Multiphase Flow Sensor Pe...mentioning

confidence: 82%

Section: Fundamental Analysis Of Teng-based Multiphase Flow Sensor Pe...mentioning

confidence: 99%

A Self‐Powered Multiphase Flow Detection Through Triboelectric Nanogenerator‐Based Displacement Current

Ma,

Wang,

Zhang

et al. 2024

Advanced Energy Materials

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“…Although the initial supersaturations before nucleation are the same (7.5), the supersaturation time trajectory (or dynamics) toward S = 7.5 is different between slug flow and a stirred tank with dropwise addition, from different total duration times of reactant addition (e.g., seconds vs 4.2 min). Besides supersaturation dynamics and induction time (discussed earlier), other factors or differences include mixing hydrodynamics (e.g., intrinsic recirculation flow in slugs, , shorter macro-mixing time for a faster slug-flow rate in Figure b and the literature ,, ), mechanical energy input (more pumping energy for faster gas flow rates), shear (e.g., higher shear for higher gas flow rates in slug flow), and unit solution volume. Mechanical energy input may accelerate nucleation by helping overcome the activation energy barrier.…”

Section: Resultsmentioning

confidence: 99%

Direct Precipitation Pathway to Pure α-MnC₂O₄·2H₂O Using Slug Flow toward the Scalable Nonfouling Fast Synthesis of Uniform Microcrystals

Kim,

Jiang

2024

Crystal Growth & Design

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Synthesizing uniform microcrystals of high solid purity is desired for process efficiency and product consistency, but it is often challenging to achieve due to its high uniformity (e.g., the coefficient of variation in both crystal size and aspect ratio is less than 0.5) and mild reaction conditions (e.g., pH ∼ 7, room temperature). An example crystal is α-MnC 2 O 4 •2H 2 O, whose current precipitation synthesis often takes place in stirred-tank reactors and requires acidic pH, elevated temperatures, and/or extended hours. Crystal size uniformity control is also lacking. This study first demonstrates the feasibility of mild reaction conditions for synthesizing α-MnC 2 O 4 •2H 2 O in a stirred tank, at a stoichiometric ratio of 1:1 and an initial supersaturation of 7.5. This synthesis follows an indirect pathway, with a solid MnC 2 O 4 •3H 2 O (less-stable form) quickly precipitated first and then slowly transformed in slurry to α-MnC 2 O 4 •2H 2 O (conglomerates). Further, a new direct solution-precipitation pathway to obtaining pure α-MnC 2 O 4 • 2H 2 O was discovered (without ever going through solid MnC 2 O 4 •3H 2 O and hour-long conversion) by replacing the "by-default" stirred tank/flask in the current synthesis with tubular slug flow at medium gas flow rates (e.g., 1.5−2.5 mL/min). With reduced gas flow rates in slug flow (from 10 to 1.5 mL/min), the induction time monotonically increases (from ∼50 to 137 s) and the mass portion of the undesired MnC 2 O 4 •3H 2 O among the reaction product solids also reduces (from ∼40 to 0%). Compared to a stirred tank at the same mild reaction conditions aimed at producing pure α-MnC 2 O 4 •2H 2 O, slug flow is able to reduce the reaction residence time from ∼30 to 0.3 h. The modular slug-flow design also allows not only incorporating production-cleaning cycles to prevent fouling but also scaling up the total volume using the same equipment. Throughout the continuous operation of 10 cycles (∼80 min) at medium gas flow rates, the product crystals from an initial supersaturation of 7.5 are consistently pure α-MnC 2 O 4 • 2H 2 O, uniform in size (average length ∼14 μm, coefficient of variation less than 0.2), and are all in prism shape (average aspect ratio ∼1.4, coefficient of variation less than 0.25).

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“…Indeed, the alternating ow of the two structures causes several industrial problems such as instability of heat and mass exchange in chemical reactors and liquid over ow in upstream installations. To date, the exact nature of the intermittent ows is not yet well known (Mohmmed et al, 2021). Subdividing the intermittent regime into sub-regimes may be a way to better understand and comprehend this type of ow, especially from the aspect of uid-structure interaction (Arabi et al, 2020d).…”

Section: Introductionmentioning

confidence: 99%

“…It is important to identify and control the ow pattern for a better design and control of the industrial devices (Raeiszadeh et al, 2018). Under certain conditions, the liquid and gas phases may ow alternately and irregularly as elongated bubble (also called gas pocket or gas slug) and bulk of liquid regions lling the entire pipe as liquid slug (Mohmmed et al, 2021, resulting in the intermittence of ow parameters such as pressure, void fraction, ow rates of both phases, heat and mass coe cients, etc. This ow regime, called intermittent ow, represents a destructive ow pattern (Saini et al, 2022;Adouni et al, 2022), which makes it challenging for the engineers.…”

Section: Introductionmentioning

confidence: 99%

Identifying the intermittent flow sub-regimes using pressure drop time series fluctuations

Arabi

Salhi

Zenati

et al. 2023

Preprint

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From a literature survey, it has been noticed a lack of objective methods to identify and distinct between the intermittent flow sub-regimes. Thus, the aim of this study is to analyze pressure drop fluctuations using statistical methods in order to propose simple tools to characterize the sub-regimes of the intermittent flow. The pressure drop time series were collected from experiments carried out using air-water mixture and 30 mm ID pipe. The utilization of transparent pipes allowed to identify three sub-regimes which are Plug flow, Less Aerated Slug flow (LAS flow), and Highly Aerated Slug flow (HAS flow). It was found that the PDF displayed a unimodal distribution in all cases studied. Meanwhile, the representation of the base width and maximum values of PDF as function of the gas-to-liquid superficial velocities ratio and the mixture Froude number, respectively, showed that the points for each sub-regime are clustered in the same zone. So, these two feature spaces can be used to identify the sub-regimes. A third feature space, based on the statistical parameters standard deviation and kurtosis, was also proposed as a tool to distinguish between the three sub-regimes.

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Investigations on the slug two-phase flow in horizontal pipes: Past, presents, and future directives

Cited by 23 publications

References 178 publications

A Self‐Powered Multiphase Flow Detection Through Triboelectric Nanogenerator‐Based Displacement Current

A Self‐Powered Multiphase Flow Detection Through Triboelectric Nanogenerator‐Based Displacement Current

Direct Precipitation Pathway to Pure α-MnC₂O₄·2H₂O Using Slug Flow toward the Scalable Nonfouling Fast Synthesis of Uniform Microcrystals

Identifying the intermittent flow sub-regimes using pressure drop time series fluctuations

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Investigations on the slug two-phase flow in horizontal pipes: Past, presents, and future directives

Cited by 23 publications

References 178 publications

A Self‐Powered Multiphase Flow Detection Through Triboelectric Nanogenerator‐Based Displacement Current

A Self‐Powered Multiphase Flow Detection Through Triboelectric Nanogenerator‐Based Displacement Current

Direct Precipitation Pathway to Pure α-MnC2O4·2H2O Using Slug Flow toward the Scalable Nonfouling Fast Synthesis of Uniform Microcrystals

Identifying the intermittent flow sub-regimes using pressure drop time series fluctuations

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Product

Resources

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Direct Precipitation Pathway to Pure α-MnC₂O₄·2H₂O Using Slug Flow toward the Scalable Nonfouling Fast Synthesis of Uniform Microcrystals