SENSITIVITY ANALYSIS OF A STATIONARY HEAT TRANSFER TWO-PHASE LIQUID-GAS SLUG FLOW MODEL FOR HORIZONTAL PIPES

2015 ◽  
Author(s):  
Carlos L. Bassani ◽  
Fernando H. G. Pereira ◽  
Fausto A. A. Barbuto ◽  
Rigoberto E. M. Morales
Keyword(s):  
Heat Transfer ◽  
Sensitivity Analysis ◽  
Slug Flow ◽  
Flow Model ◽  
Two Phase ◽  
Horizontal Pipes ◽  
Stationary Heat ◽  
Phase Liquid ◽  
Stationary Heat Transfer

Heat transfer correlation for two-component two-phase slug flow in horizontal pipes

2018 ◽  
Vol 141 ◽  
pp. 866-876 ◽  
Author(s):  
Chuanshuai Dong ◽  
Takashi Hibiki
Keyword(s):  
Heat Transfer ◽  
Slug Flow ◽  
Heat Transfer Correlation ◽  
Two Phase ◽  
Horizontal Pipes ◽  
Two Component

scholarly journals Optimization and Extended Applicability of Simplified Slug Flow Model for Liquid-Gas Flow in Horizontal and Near Horizontal Pipes

Energies ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 842
Author(s):  
Tea-Woo Kim ◽  
Nam-Sub Woo ◽  
Sang-Mok Han ◽  
Young-Ju Kim
Keyword(s):  
Slug Flow ◽  
Pressure Loss ◽  
Gas Flow ◽  
Flow Model ◽  
Flow Coefficient ◽  
Coefficient Of Determination ◽  
Liquid Holdup ◽  
Two Phase ◽  
Horizontal Pipes ◽  
Image Velocimetry

The accurate prediction of pressure loss for two-phase slug flow in pipes with a simple and powerful methodology has been desired. The calculation of pressure loss has generally been performed by complicated mechanistic models, most of which require the iteration of many variables. The objective of this study is to optimize the previously proposed simplified slug flow model for horizontal pipes, extending the applicability to turbulent flow conditions, i.e., high mixture Reynolds number and near horizontal pipes. The velocity field previously measured by particle image velocimetry further supports the suggested slug flow model which neglects the pressure loss in the liquid film region. A suitable prediction of slug characteristics such as slug liquid holdup and translational velocity (or flow coefficient) is required to advance the accuracy of calculated pressure loss. Therefore, the proper correlations of slug liquid holdup, flow coefficient, and friction factor are identified and utilized to calculate the pressure gradient for horizontal and near horizontal pipes. The optimized model presents a fair agreement with 2191 existing experimental data (0.001 ≤ μL ≤ 0.995 Pa∙s, 7 ≤ ReM ≤ 227,007 and −9 ≤ θ ≤ 9), showing −3% and 0.991 as values of the average relative error and the coefficient of determination, respectively.

Sensitivity analysis of a mechanistic heat transfer slug flow model to the frequency

2016 ◽  
Author(s):  
Carlos Lange Bassani ◽  
Fausto Arinos Barbuto ◽  
Rigoberto Morales
Keyword(s):  
Heat Transfer ◽  
Sensitivity Analysis ◽  
Slug Flow ◽  
Flow Model

Flow and heat transfer for a two-phase slug flow in horizontal pipes: A mechanistic model

2021 ◽  
Vol 33 (3) ◽  
pp. 034117
Author(s):  
Chuanshuai Dong ◽  
Ronghui Qi ◽  
Lizhi Zhang
Keyword(s):  
Heat Transfer ◽  
Slug Flow ◽  
Mechanistic Model ◽  
Two Phase ◽  
Horizontal Pipes ◽  
Flow And Heat Transfer

scholarly journals Research on the Dynamic Responses of Simply Supported Horizontal Pipes Conveying Gas-Liquid Two-Phase Slug Flow

Processes ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 83
Author(s):  
Gang Liu ◽  
Zongrui Hao ◽  
Yueshe Wang ◽  
Wanlong Ren
Keyword(s):  
Slug Flow ◽  
Peak Frequency ◽  
Dynamic Responses ◽  
Piping System ◽  
Transverse Displacement ◽  
Vibration Acceleration ◽  
Two Phase ◽  
Horizontal Pipes ◽  
Simply Supported ◽  
Superficial Gas Velocity

The dynamic responses of simply supported horizontal pipes conveying gas-liquid two-phase slug flow are explored. The intermittent characteristics of slug flow parameters are mainly considered to analyze the dynamic model of the piping system. The results show that the variations of the midpoint transverse displacement could vary from periodic-like motion to a kind of motion whose amplitude increases as time goes on if increasing the superficial gas velocity. Meanwhile, the dynamic responses have certain relations with the vibration acceleration. By analyzing the parameters in the power spectrum densities of vibration acceleration such as the number of predominant frequencies and the amplitude of each peak frequency, the dynamic behaviors of the piping system like periodicity could be calculated expediently.

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