Experimental and computational study of erosion in elbows due to sand particles in air flow

Vieira, Ronald E.; Mansouri, Amir; McLaury, Brenton S.; Shirazi, Siamack A.

doi:10.1016/j.powtec.2015.11.028

Cited by 191 publications

(69 citation statements)

References 24 publications

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“…The results of numerical simulation may be different due to the fineness of the mesh and the choice of the algorithm. In this study, the experiment and simulation conducted by Vieira et al in Tulsa University are referred to validate the simulation result.…”

Section: Methodology and Validationmentioning

confidence: 95%

“…Pei et al simulated the erosion in pipe elbows and have given the position of maximum erosion; the abrasive terms in erosion simulation are proved necessary, and the particle impact angles are generally low in transportation of dense gas . Peng et al studied the particle trajectories in erosion simulation by combining eight erosion models and two rebound models, and have found the prediction of the maximum erosion zone in this paper; Laín et al studied the bend erosion with the approach of Euler/Lagrange and found that the roughness of wall can reduce the penetration ratio; Zeng et al used the CFD‐DEM coupling way to study the motion of sulfur particles in the gas flow; Liu et al used CFD to study the diffusion rule of two different oils in tee pipe; Duarte et al studied the relationship between collision of interparticles and the elbow erosion with the numerical simulation; Vieira et al combined the PIV technique and the sand erosion experiment, then simulated the erosion and gave the prediction of erosion; in the study of Duarte et al the particle erosion in the pipe elbow was investigated, and the conclusion indicated that the collision of inner particles can effectively reduce the erosion in the elbow.…”

Section: Introductionmentioning

confidence: 94%

“…In the experiment of Tulsa University, the erosion rate is defined as:

E_{r} = K F_{s} f (α) {()(, \frac{u_{italicrel}}{u_{italicref}})}^{n}

where K is a constant about materials and the default value for steel is 2 × 10 −9 ;

f (α)

is the impact angle function of particle;

u_{italicref}

is the constant of particle reference velocity;…”

Section: Mathematical Modelmentioning

confidence: 99%

“…Experiments have been always an effective method to study the particle erosion; Wong et al used the experiment method to study the process of erosion in cavity of a pipe. The experiment which was conducted in Tulsa University was quoted in some researches for great credibility, and authors indicated that “V‐shape” erosion occurred in the pipe elbow through the CFD simulation.…”

Section: Introductionmentioning

confidence: 99%

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Numerical analysis of particle erosion in the rectifying plate system during shale gas extraction

Peng

Chen

Shan³

et al. 2019

Energy Science & Engineering

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Erosion caused by sand particles in the pipe system is a major concern in the shale gas industry. In the rectifying plate system, the fluid with high Reynolds number is assumed to be the fully turbulent flow. To investigate particle erosion under the complex flow in the rectifying plate system, various erosion simulations are conducted in this study. Because the gas velocity, sand input, particles size, and particles shape can affect the erosion in rectifying system, the effect of gas velocities (5‐30 m/s), sand inputs (50‐400 kg/d), and particle parameters (various particle sizes and various particle shapes) on erosion is simulated. Moreover, the erosion experiment conducted in Tulsa University is used to verify the accuracy of simulation model. Through the calculation and analysis, it is obtained that different gas velocities will change the position where the max erosion rate appears. Various sand inputs lead to different max erosion rates. In addition, the effect of sand input on the distribution of erosion scars on rectifying plate is more obvious than that of on elbows. Finally, the effect of size and shape of particles on erosion is investigated. It is found that with the increase in particle diameter, the shape of erosion scar on elbow 1 changes gradually from an ellipse to the V‐shape.

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Section: Methodology and Validationmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 94%

“…In the experiment of Tulsa University, the erosion rate is defined as:

E_{r} = K F_{s} f (α) {()(, \frac{u_{italicrel}}{u_{italicref}})}^{n}

where K is a constant about materials and the default value for steel is 2 × 10 −9 ;

f (α)

is the impact angle function of particle;

u_{italicref}

is the constant of particle reference velocity;…”

Section: Mathematical Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Numerical analysis of particle erosion in the rectifying plate system during shale gas extraction

Peng

Chen

Shan³

et al. 2019

Energy Science & Engineering

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“…They showed that tracing large particles with the standard wall-function and low-Re number produced logical solutions; however, tracing small particles with the standard wall-function produced nonphysical results. Viera et al [25] used PIV technique to measure the slip velocity between air and solid particles in a direct impact geometry and, then, developed an erosion model. Zahedi et al [26] used CFD methods to perform a parametric investigation into the erosion rate in a 90 elbow with 3 inches of diameter and a high curvature ratio.…”

Section: Introductionmentioning

confidence: 99%

Numerical modeling of sand particle erosion in return bends in gas-particle two-phase flow

et al. 2018

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In gas and oil industry, erosion damage to pipelines' bends and elbows due to the presence of sand particles has been a challenging issue. In this study, a computational model approach was used to evaluate the erosion rates at di erent vertical return bends: sharp bend, standard elbow, 180 pipe bend, and long elbow. The air ow in the pipe was simulated using the SIMPLE method and the k ! SST turbulence model. An Eulerian-Lagrangian approach was used to predict particle trajectories and related erosion rates. Di erent particle sizes and mass ow rates were considered, and Oka model was used in these simulations to evaluate the erosion rate. Under the same condition, the simulation results indicated that the sharp return bends experienced the highest erosion rates, and the 180 bends experienced the lowest erosion among the studied con gurations. It was also found that the erosion rate was linearly proportional to the mass ow rate of particles for all cases studied. contributions are in the elds of computational uid dynamics, multiphase ows, particle transport, heat transfer, thermal systems, and energy management.

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Erosion Wear Evaluation Using Nektar+ +

Mejía¹,

Serson

Moura

et al. 2020

Lecture Notes in Computational Science and Engineering

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Erosion wear is the loss of mass on the surface of a solid body in contact with a moving fluid. When the fluid under study has solid particulate material or sediments, the erosion could be significant (Kulu and Kleis, Solid particle erosion: occurrence, prediction and control. Springer, London, 2008; Karimi and Schmid, Wear 156(1):33–47, 1992). Several studies (Karimi and Schmid, Wear 156(1):33–47, 1992; Neopane and Cervantes, Global J Res Eng Mech Mech Eng 11:17–26, 2011; Zeng et al., Proc IMechE 231(3):182–196, 2017; Padhy and Saini, Energy 39(1):286–293, 2012; Bajracharya et al., Wear 264(3–4):177–184, 2008; Kumar and Saini, Renew Sust Energ Rev 14(1):374–383, 2010; Xiao et al., J Hydrodyn B 19(3):356–364, 2007; Zhu et al., Nucl Eng Des 273:396–411, 2014; Chongji et al., IOP Conf Ser Earth Environ Sci 22(5):052019, 2014; Finnie and Kabil, Wear 8(1):60–69, 1965; Finnie, Wear 3(2):87–103, 1960; Finnie, Wear 19(1): 81–90, 1972) have been developed to investigate this phenomenon. Nevertheless, few attention has been paid to influence of small eddies during the erosion process, limiting the accuracy of the results in the simulation. The use of spectral element methods can allow increasing accuracy in the simulation due to the potential to consider these smaller scales.To the best of the authors’ knowledge, there is no work that uses high order methods to evaluate erosion wear rate. This research aim is to assess the impact of higher resolution methods on the prediction of erosion wear rate and distribution. Nektar+ + is a framework to solve partial differential equations using spectral/hp element method (Cantwell et al., Comput Phys Commun 192:205–219, 2015). This work presents a methodology to model erosion wear in Nektar+ +, with the creation of two modules. The first one is for the particle tracking evaluation and the record of impact on the walls of interest. The second one implements the Hutchings and Finnie models (Finnie, Wear 3(2):87–103, 1960; Finnie, Wear 19(1):81–90, 1972; Padhy and Saini, Renew Sust Energ Rev 12(7):1974–1987, 2008; Dutta, Bulle-effect and its implications for morphodynamics of river diversions. Ph.D. Thesis. University of Illinois at Urbana-Champaign, 2017) to predict the material removal rate as a function of the velocity and the angle of impact of each particle, the particle diameter and density, and the hardness relationship between particles and the wall. At the end, the particles trajectories and erosion distribution on walls are obtained. To assess effectiveness of the methodology a Backward Facing Step was investigate and the erosion patterns were found.

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Experimental and computational study of erosion in elbows due to sand particles in air flow

Cited by 191 publications

References 24 publications

Numerical analysis of particle erosion in the rectifying plate system during shale gas extraction

Numerical analysis of particle erosion in the rectifying plate system during shale gas extraction

Numerical modeling of sand particle erosion in return bends in gas-particle two-phase flow

Erosion Wear Evaluation Using Nektar+ +

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