Abstract of heat transfer coefficient modelation in single-phase systems inside pipes

Medina, Yanán Camaraza; Khandy, Nislan; Fonticiella, Oscar Cruz; Morales, Osvaldo Fidel García

doi:10.18280/mmep.040303

Cited by 18 publications

(18 citation statements)

References 6 publications

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“…Substituting Equation (12) into Equation 4 (16) In Equation 16, both members are divided by the product of the density and specific heat at constant pressure .…”

Section: Analogy Between Heat Transfer and Momentum In Single-phase Fmentioning

confidence: 99%

Suggested Model for Heat Transfer Calculation During Fluid Flow in Single Phase Inside Pipes (II)

Camaraza-Medina¹,

Mortensen-Carlson²,

Guha³

et al. 2019

IJHT

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In this paper, is presented a mathematical deduction of a new improved model for heat transfer calculations during fluid flow in single-phase inside tubes. The proposal model was verified by comparison with available experimental data of 35 different fluids, including water, air, gases and organic substances. The proposal model is valid for a range of Reynolds number for single-phase from 2.4 • 10 3 to 8.2 • 10 6 , Prandtl number for single-phase from 0.65 to 4.71 • 10 4 , dimensionless length in the interval 2 ≤ ⁄ ≤ 450 and values of Petukhov's correction in the interval 0.006 ≤ ⁄ ≤ 177. In 3096 data analyzed, for < 1 • 10 4 , the mean deviation found was 13.91% in the 80.32% of the experimental data, while for 1 • 10 4 ≤ , the mean deviation found was 13.96% in 80.94% of experimental data.

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“…Substituting Equation (12) into Equation 4 (16) In Equation 16, both members are divided by the product of the density and specific heat at constant pressure .…”

Section: Analogy Between Heat Transfer and Momentum In Single-phase Fmentioning

confidence: 99%

Suggested Model for Heat Transfer Calculation During Fluid Flow in Single Phase Inside Pipes (II)

Camaraza-Medina¹,

Mortensen-Carlson²,

Guha³

et al. 2019

IJHT

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“…9and Equation 10, final expressions of the dimensionless groups were presented. They are defined below by Equations (13) and (14).…”

Section: Dimensionless Groups Formulationmentioning

confidence: 99%

“…The exact function form that correlates the previouslydefined dimensionless groups was deduced from a linear regression analysis, hence obtaining Equation (16):12 0, 208 0, 4588  =   + (16) Then, the model explicit equation was determined by substitution of Equations (13) and (14) into Equation (16) and conveniently rearranging the terms. As a result, Equation 17 It was not necessary to apply dimensional analysis for finding a function to compute the lean amine exit temperature, as it can be determined through an energy balance after calculation of the rich amine outlet temperature, by means of Equation 18:…”

Section: Model Explicit Equationmentioning

confidence: 99%

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Monoethanolamine Heat Exchangers Modeling Using the Buckingham Pi Theorem

Escalona¹,

Góngora-Leyva²,

Camaraza-Medina³

2019

MMEP

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Dimensional analysis was used on this study with the aim of stablishing a model for prediction of the monoethanolamine heat exchangers output. The passive experimentation method was applied to gather 14 400 data points, since the exchangers are installed in an online amine treating unit. After identification of those parameters having a relevant effect on heat transfer processes, the Buckingham Pi theorem and the method of repeating variables were implemented. Once the dimensionless groups were formulated, the explicit equation was found by means of a least-squares regression analysis. The simulation model was evaluated by comparing predicted results against measured rich amine exit temperatures. In this respect, 98.96 % correlation, 0.023 % mean absolute percentage error and 1.376 K maximum absolute error were achieved. Findings of this research may serve as a shortcut for quick and accurate anticipation of the equipment performance, since the plant is often operated outside design parameters. Despite the above, obtained explicit equation is only valid for the studied set of heat exchangers.

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“…[14][15] The main thought of modified Eulerian method: Predict the next value firstly and get preliminary approximate value:…”

Section: The Model Of Heat Transfer Character Of Dry Slag Discharge Smentioning

confidence: 99%

Visualization of the heat transfer character of dry slag discharge system

Sun¹,

Zuo²,

Lu³

et al. 2017

IJHT

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It is difficult to analyze the heat transfer character of dry slag discharge system using the theory of computational heat transfer. It is necessary to develop an all-purpose and user-friendly temperature field research platform of dry slag discharge system to decrease difficulty and raise work efficiency. Based on the analysis on work mechanism of dry slag discharge system and the theory of computational heat transfer, this paper uses numerical calculation method to build the model of heat transfer between slags and air, packages the model in dynamic chained library for being called by visualization software, programs numerical simulation visualization software of dry slag discharge system with good interface in VB environment, discusses the procedures of system development and introduces the process of interface creation, procedures control and software integration. Taking dry slag discharge equipment of a power plant for example, numerical calculation and visualization display of heat transfer character is operated to offer more effective research platform for analyzing the heat transfer character of dry slag discharge system and designing equipment in optimization.

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Abstract of heat transfer coefficient modelation in single-phase systems inside pipes

Cited by 18 publications

References 6 publications

Suggested Model for Heat Transfer Calculation During Fluid Flow in Single Phase Inside Pipes (II)

Suggested Model for Heat Transfer Calculation During Fluid Flow in Single Phase Inside Pipes (II)

Monoethanolamine Heat Exchangers Modeling Using the Buckingham Pi Theorem

Visualization of the heat transfer character of dry slag discharge system

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