Forecasting of Erosion Rate in Tee-Junctions for Liquid-Solid Flow via Computational Fluid Dynamics (CFD)

Abang Zul Aiman Abang Jashmady, Aizuddin Supee, Mohd Dinie Muhaimin Samsudin, Nur'ain Balqis Haladin


This work intends to forecast the influence of parameters such as particles size, stream velocities and tee-junctions diameter towards an erosion rate of a tee-junction in light crude oil (C19H30)-solid (sand) flow. A commercially available ANSYS Fluent 2020 R1 (Academic Version)-computational fluid dynamics (CFD) was used to numerically predict the erosion rate in tee-junctions. Three different models were applied in CFD approach named as continuous flow modeling, Lagrangian particle tracking and empirical erosion equation. The ranges of simulated parameters include 100-500 µm particles size, 3-7 m/s stream velocities and 0.0762-0.1778 m tee-junctions diameter. The location of maximum erosion rate for all the simulated parameters are found to be at the mid-section of the tee-junction. The maximum erosion rate is reduced with the increasing of the particles size while increased with the increasing of the stream velocities. However, there is no correlation found for the maximum erosion rate (increased or decreased) with the tee-junctions diameter.


Computational fluid dynamics (CFD); Light crude oil-solid flow; Maximum erosion rate and location; Particles size and stream velocities; Tee-junctions diameter.

Article Metrics

Abstract view : 243 times
PDF - 184 times

Full Text:



I. U. Toor, H. M. Irshad, H. M. Badr and M. A. Samad, The effect of impingement velocity and angle variation on the erosion corrosion performance of API 5L-X65 carbon steel in a flow loop, Metals, 8, 2018, 402.

A. Mansouri, A combined CFD-experimental method for developing an erosion equation for both gas-sand and liquid-sand flows, PhD Thesis, The University of Tulsa, 2016.

G. Ou, K. Bie, Z. Zheng, G. Shu, C. Wang and B. Cheng, Numerical simulation on the erosion wear of a multiphase flow pipeline, The International Journal of Advanced Manufacturing Technology, 96, 2018, 1705-1713.

M. Parsi, K. Najmi, F. Najafifard, S. Hassani, B. S. McLaury and S. A. Shirazi, A comprehensive review of solid particle erosion modeling for oil and gas wells and pipelines applications, Journal of Natural Gas Science and Engineering, 21, 2014, 850-873.

X. Chen, B. S. McLaury and S. A. Shirazi, Numerical and experimental investigation of the relative erosion severity between plugged tees and elbows in dilute gas/solid two-phase flow, Wear, 261, 2006, 715-729.

D. Vigolo, I. M. Griffiths, S. Radl and H. A. Stone, An experimental and theoretical investigation of particle–wall impacts in a T-junction, Journal of Fluid Mechanics, 727, 2013, 236-255.

J. Zhang, Y. Bai, J. Kang and X. Wu, Failure analysis and erosion prediction of tee junction in fracturing operation, Journal of Loss Prevention in the Process Industries, 46, 2017, 94-107.

G. J. Brown, Erosion prediction in slurry pipeline tee-junctions, Applied Mathematical Modelling, 26, 2002, 155-170.

Y. Doroshenko, J. Doroshenko, V. Zapukhliak, L. Poberezhny and P. Maruschak, Modeling computational fluid dynamics of multiphase flows in elbow and T-junction of the main gas pipeline, Transport, 34, 2019, 19-29.

X. Chen, B. S. McLaury and S. A. Shirazi, Application and experimental validation of a computational fluid dynamics (CFD)-based erosion prediction model in elbows and plugged tees, Computers & Fluids, 33, 2004, 1251-1272.

A. Farokhipour, Z. Mansoori, A. Rasteh, M. A. Rasoulian, M. Saffar-Avval and G. Ahmadi, Study of erosion prediction of turbulent gas-solid flow in plugged tees via CFD-DEM, Powder Technology, 352, 2019, 136-150.

R. Verma, V. Agarwal, R. Pandey and P. Gupta, Erosive wear reduction for safe and reliable pneumatic conveying systems: review and future directions, Life Cycle Reliability and Safety Engineering, 7, 2018, 193-214.

H. Pouraria, J. K. Seo and J. K. Paik, Numerical study of erosion in critical components of subsea pipeline: Tees vs bends, Ships and Offshore Structures, 12, 2017, 233-243.

M. A. H. Yusof, Z. Zakaria, A. Supee and M. Z. M. Yusop, Prediction of erosion rate in elbows for liquid-solid flow via computational fluid dynamics (CFD), Applications of Modelling and Simulation, 3, 2019, 28-38.

C. A. R. Duarte, F. J. de Souza and V. F. dos Santos, Numerical investigation of mass loading effects on elbow erosion, Powder Technology, 283, 2015, 593-606.

R. E. Vieira, A. Mansouri, B. S. McLaury and S. A. Shirazi, Experimental and computational study of erosion in elbows due to sand particles in air flow, Powder Technology, 288, 2016, 339-353.

M. A. Habib, H. M. Badr, R. Ben-Mansour and M. E. Kabir, Erosion rate correlations of a pipe protruded in an abrupt pipe contraction, International Journal of Impact Engineering, 34, 2007, 1350-1369.

M. Cable, An evaluation of turbulence models for the numerical study of forced and natural convective flow in Atria, Department of Mechanical and Materials Engineering, Queen's University, Ontario, Canada, 2009.

T.-H. Shih, W. W. Liou, A. Shabbir, Z. Yang and J. Zhu, A new k-ϵ eddy viscosity model for high reynolds number turbulent flows, Computers & Fluids, 24, 1995, 227-238.

F. Durst, D. Miloievic and B. Schönung, Eulerian and Lagrangian predictions of particulate two-phase flows: a numerical study, Applied Mathematical Modelling, 8, 1984, 101-115.

A. Picart, A. Berlemont and G. Gouesbet, Modelling and predicting turbulence fields and the dispersion of discrete particles transported by turbulent flows, International Journal of Multiphase Flow, 12, 1986, 237-261.

Q. Q. Lu, J. R. Fontaine and G. Aubertin, A lagrangian model for solid particles in turbulent flows, International Journal of Multiphase Flow, 19, 1993, 347-367.

R. Clift, J. R. Grace and M. E. Weber, Bubbles, drops, and particles, Dover Publications, Inc., Mineola, New York, 2005.

J. E. Miller, Slurry Erosion: Uses, Applications, and Test Methods: a Symposium, ASTM International, 1987.

N. Barton, Erosion in elbows in hydrocarbon production systems: Review document, TÜV NEL Limited, Research Report, 115, 2003.


  • There are currently no refbacks.