Analysis of Fouling in Six-Start Spirally Corrugated Tubes

Qian, Jin-yuan; Yang, Chen; Wu, Zan; Liu, Xueling; Gao, Xiaofei; Jin, Zhi-jiang; Sundén, Bengt

doi:10.1080/01457632.2019.1675246

Cited by 7 publications

(5 citation statements)

References 53 publications

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“…The measured data may be confirmed by comparing them to tubes with different configurations. The published results [63][64][65] for the Nusselt number and [66][67][68][69] for the friction factor support the experimental findings. Figure 12 compares the Nusselt number from the measured data to the published results [63][64][65].…”

Section: Verification With Correlation Resultssupporting

confidence: 78%

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Heat transfer and Flow Analysis for Square Tube with Oscillating Electromagnetic Field with Experimental Data by Artificial Neural Network

Sirijaroenpanitch,

Vengsungnle,

Naphon

et al. 2024

Preprint

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The heat transfer and friction factor of ferrofluid passing through a square tube with an oscillating electromagnetic field were investigated experimentally. The impact of electromagnetic rotating direction, flux, and frequency on heat and flow characteristics has been investigated. The Brownian motion of particles has been shown to considerably influence the direction, power, and frequency of electromagnetic rotation, resulting in higher heat transfer. The interruption of electromagnetic flow raises the friction factor even further. In addition, a three-layer back propagation network model is built, with input, hidden, and output layers numbered 5, 17, and 2, respectively. This ANN model performed well statistically, with correlation coefficients ranging from 0.99939 to 0.9996 and mean square errors (MSE) ranging from 0.0106 to 0.0190. The ANN results match the observed data within ± 5% and ± 10% error ranges for heat and flow characteristics, respectively. As a consequence, this machine learning approach might be used to forecast heat exchanger thermal performance.

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Section: Verification With Correlation Resultssupporting

confidence: 78%

“…The Nusselt number error for [63], [64], and [65] is 5.08%, 9.32%, and 6.46%, respectively. The reported correlations [66][67][68][69] anticipate outcomes for the friction factor that are overestimated based on observed data. B) with no EF effect, using DI water and ferrofluids as coolants.…”

Section: Verification With Correlation Resultsmentioning

confidence: 73%

Heat transfer and Flow Analysis for Square Tube with Oscillating Electromagnetic Field with Experimental Data by Artificial Neural Network

Sirijaroenpanitch,

Vengsungnle,

Naphon

et al. 2024

Preprint

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“…Besides, different flow configurations have been studied [29][30][31][32][33][34]. Some papers recently considered the porous fin configuration's effect on the fluted tubes' performance [35][36][37][38]. Hojati et al [39] studied the heat transfer in the inclined groove tube and entropy generation in the spirally corrugated pipes [40] using refrigerant as a working fluid.…”

Section: Introductionmentioning

confidence: 99%

Numerical Analysis of the Pulsating Heat Transfer of Ferrofluid in Helically Fluted Tubes

Siricharoenpanitch¹,

Jongpleampiti²,

Naphon³

et al. 2022

MMEP

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The flow and heat transfer characteristics in the corrugated tube mainly depend on flow parameters and geometric configurations of the tube, such as corrugated cross-section, corrugated angle, corrugated arrangement, corrugated pitch and depth, pulsating flow frequency, coolant types, and Reynolds number. This paper presents the pulsating thermal characteristics of ferrofluid flowing in the fluted tube using the de-ionized water and 0.015% by volume as working fluid flowing in the test section. Eulerian two-phase turbulence model validation has been performed in both steady and pulsating flow. The finite volume approach discretizes the Eulerian two-phase model. Numerical results indicate that the longitudinal and transverse secondary flows are induced differently via the pulsating flow. The heat transfer characteristics of pulsating fluid flow are significantly larger than that of continuous fluid flow. A higher pulsating frequency induces a heat transfer enhancement. However, pulsating flow increases pressure due to more flow complexity and rough augmentation. Due to the disturbed fluid flow and higher swirling motion, the heat transfer augmentation increases and corresponds with the published results.

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“…However, the temperature of the superheated steam leaving the pressure reducing valve should be reduced. In order to augment the heat transfer efficiency, scholars have proposed many novel high-efficiency heat transfer devices like spirally corrugated tube [6][7][8], dimpled surfaces [9][10][11], and inserted tubes/microtubes [12,13]. Furthermore, many investigators aimed at conducting research on the cooling of superheated steam.…”

Section: Introductionmentioning

confidence: 99%

A numerical study of heat transfer effects and aerodynamic noise reduction in superheated steam flow passing a temperature and pressure regulation valve

Qian

Chen

Jin

et al. 2020

Numerical Heat Transfer, Part A: Applications

Self Cite

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Steam is a common medium in thermal engineering. When it flows through a throttling element, the aerodynamic noise may occur due to the disturbance. In this investigation, superheated steam flowing through a Venturi tube, one of the main parts in a temperature and pressure regulation valve, at different thermal conditions is studied to analyze to effects of heat transfer on the acoustic power. With a high temperature and a low pressure, the superheated steam is treated as ideal gas. The flow velocity is high, so the k-epsilon turbulent model is used, with the compressible steam. The results show that under the adiabatic condition, the acoustic power mainly influenced by the turbulent characteristics, such as the dissipation rate and the turbulent kinetic energy. Comparing the acoustic power levels at different thermal conditions, it is found that a lower temperature results to a lower acoustic power.

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Analysis of Fouling in Six-Start Spirally Corrugated Tubes

Cited by 7 publications

References 53 publications

Heat transfer and Flow Analysis for Square Tube with Oscillating Electromagnetic Field with Experimental Data by Artificial Neural Network

Heat transfer and Flow Analysis for Square Tube with Oscillating Electromagnetic Field with Experimental Data by Artificial Neural Network

Numerical Analysis of the Pulsating Heat Transfer of Ferrofluid in Helically Fluted Tubes

A numerical study of heat transfer effects and aerodynamic noise reduction in superheated steam flow passing a temperature and pressure regulation valve

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