Effects of varying orifice diameter and Reynolds number on discharge coefficient and wall pressure

Maher, Hareth; Mohamed, Ibrahim Atiya

doi:10.1016/j.flowmeasinst.2019.01.004

Cited by 31 publications

(15 citation statements)

References 12 publications

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“…Higher values of internal diameter of each component, resulted in a corresponding increase in Reynolds number. This agrees with experimental works by (Abd et al, 2019;Nur et al, 2019). In addition to this, it was also observed that turbulence did not affect the ability of particles to sand up under the given flow conditions.…”

Section: Discussionsupporting

confidence: 92%

Quantitative Risk Assessment of the Effect of Sand on Multiphase Flow in Pipeline

Duru

Ikpeka

Ndukwe-Nwoke

et al. 2022

MGPB

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The presence of sand particles flowing along with reservoir fluids in a pipeline increases the probability of pipeline failure. The risk of pipeline failure is either accentuated or abated by the flow conditions of the fluids in the pipeline. In this study, a quantitative risk analysis of the effect of sand on pipelines during multiphase flow, under the pipeline failure modes; sanding up, erosion, and encountering abnormal pressure gradient was conducted. Three piping components were considered: line pipe (nominal size 1.5 in [3.8 cm]), swing check valve (nominal size 12.007 in [30.5cm]) and 90 deg LR Elbow (nominal size 2.25 in [5.7cm]). Correlations that indicate the critical velocities and the critical sand concentrations above/below which these failures occur were employed and implemented in a Visual Basic program. The analysis was conducted at a temperature of 204 °C and pressure of 604 psi [4.2×106 Pa]. A probability distribution, simulating real-life scenario was developed using Monte Carlo simulation. This determines the probability of deriving critical sand concentration values that fall beyond the set statistical limits which indicates the probability of occurrence of the failure being investigated. For all three failures, the severity of occurrence (represented by CAPEX incurred in solving the failures) was multiplied with the probability of failure which gave rise to the risk indexes. Based on the histogram plot of average risk index and analysis, the study reveals that larger diameter components are prone to turbulence which lead to greater risk of erosion. The risk of abnormal pressure drop and sanding up were considerably lower than that for erosion (abrasion).

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Section: Discussionsupporting

confidence: 92%

Quantitative Risk Assessment of the Effect of Sand on Multiphase Flow in Pipeline

Duru

Ikpeka

Ndukwe-Nwoke

et al. 2022

MGPB

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“…Following the above design principles, we used customized spinnerets to prepare heterogeneous PLA fiber tubes with uniform hole sizes and smooth surfaces (Figure b and Figure S1e). In a fiber tube with a smaller diameter, the Reynolds number of the fluid is smaller, and the fluid resistance is often larger. , To overcome the adverse influence of fluid resistance, we used the dual force of propulsion pump injection (providing positive pressure) and vacuum pump extraction (providing negative pressure) so that EGaIn alloy can smoothly enter the PLA fiber tube (Figure S1f). Figure c illustrates that PLA has the characteristics of phobic liquid metal, which will promote the free flow of EGaIn alloy in the fiber tube.…”

Section: Resultsmentioning

confidence: 99%

Scalable and Reconfigurable Green Electronic Textiles with Personalized Comfort Management

Gong

Yang

et al. 2022

ACS Nano

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Electronic textiles, inherited with the wearability of conventional clothes, are deemed fundamental for emerging wearable electronics, particularly in the Internet of Things era. However, the electronic waste produced by electronic textiles will further exacerbate the severe pollution in traditional textiles. Here, we develop a large-scale green electronic textile using renewable bio-based polylactic acid and sustainable eutectic gallium-indium alloys. The green electronic textile is extremely abrasion resistant and can degrade naturally in the environment even if abrasion produces infinitesimal amounts of microplastics. The mass loss and performance change rates of the reconstituted green electronic textiles are all below 5.4% after going through the full-cycle recycling procedure. This green electronic textile delivers high physiological comfort (including electronic comfort and thermal-moisture comfort), enables wireless power supply (without constraints by, e.g., wires and ports), has 2 orders of magnitude better air and moisture permeability than the body requires, and can lower skin temperature by 5.2 °C.

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“…e density of a medium fluid is ρ and kg/m 3 is its unit. Let A � πD 2 /4; equation ( 9) can be derived as equation (10). e cross-sectional area of the pipe's unit is m 2 and is denoted as A. e unit of the inner diameter of the pipe is mm, and it is expressed as D. a is a dimensionless flow coefficient.…”

Section: Working Principle Of Flowmetermentioning

confidence: 99%

“…(1) e flowmeter cannot fully adapt to the real situation of the factory due to the calibration of the flow coefficient is completely determined by the factory test. (2) e measurement accuracy needs to be further improved and the measurement reproducibility is expected to be reduced to an ideal level [8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Application of Characteristic Model-Based Principal Component Analysis in Optimization of Flowmeter Parameters

Jiang

Wang

et al. 2021

Mathematical Problems in Engineering

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In complex industrial processes, it is necessary to perform modeling analysis on some industrial systems and find and optimize the factors that have the greatest impact on the results, in order to achieve the optimization of the industrial systems. However, due to the high-level nature or complex working mechanism of complex industrial systems, traditional principal component analysis methods are difficult to apply. Therefore, this paper proposes a characteristic model-based principal component analysis (CMPCA) to perform principal component analysis on complex industrial systems. The differential pressure flowmeter is taken as an example to verify the effectiveness of the method. Flowmeter is an indispensable instrument in measurement, and its accuracy depends on its own structural parameters. However, the measurement accuracy of some flow meters is not high, and the measurement error is large, which affects the normal industrial production process. This method is used to analyze the influence of the structural parameters of the flowmeter on its measurement accuracy, and the four most important structural parameters are found and optimized. The measurement error of the Bitoba flowmeter is reduced from 1% to 0.2%, and the measurement repeatability is reduced from 0.3 to 0.06, which proves the effectiveness of the method.

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Effects of varying orifice diameter and Reynolds number on discharge coefficient and wall pressure

Cited by 31 publications

References 12 publications

Quantitative Risk Assessment of the Effect of Sand on Multiphase Flow in Pipeline

Quantitative Risk Assessment of the Effect of Sand on Multiphase Flow in Pipeline

Scalable and Reconfigurable Green Electronic Textiles with Personalized Comfort Management

Application of Characteristic Model-Based Principal Component Analysis in Optimization of Flowmeter Parameters

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