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Research Article | Open Access

Investigation of parameters influencing erosive wear using DEM

Akbar JAFARI( )Reza ABBASI HATTANI
Department of Mechanical Engineering, Sirjan University of Technology, Sirjan 7813733385, Iran
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Abstract

The effects of several parameters on the erosive wear were studied using the discrete element method (DEM). The Finnie model was implemented using an open-source code. Regarding the time integration, the Gear algorithm was used, and to ensure the accuracy of the DEM results, a time-step sensitivity analysis was performed. The problem was modeled in two parts: first, the impact of a single particle on a surface was modeled, and then a more general model was prepared to examine the wear of surfaces under the flow of particles. The effects of the surface area, impact angle, speed, particle size, particle density, Young’s modulus, Poisson’s ratio, and restitution coefficient on the wear were studied numerically, and the results are discussed herein.

References

[1]
K Holmberg, A Erdemir. Influence of tribology on global energy consumption, costs and emissions. Friction, 5: 263-284 (2017)
[2]
J T Burwell. Survey of possible wear mechanisms. Wear, 1: 119-141 (1957)
[3]
M Varenberg. Towards a unified classification of wear. Friction, 1: 333-340 (2013)
[4]
J F Archard. A crossed-cylinders friction machine. Wear, 2: 21-27 (1958)
[5]
R S Lynn, K K Wong, H M Clark. On the particle size effect in slurry erosion. Wear, 149: 55-71 (1991)
[6]
J G Chacon-Nava, A Martinez-Villafañe, F Almeraya-Calderon, J A Cabral-Miramontes, M M Stack. Some remarks on particle size effects on the abrasion of a range of Fe based alloys. Tribology International, 43: 1307-1317 (2010)
[7]
N Ojala, K Valtonen, A Antikainen, A Kemppainen, J Minkkinen, O Oja, V-T Kuokkala. Wear performance of quenched wear resistant steels in abrasive slurry erosion. Wear, 354–355: 21-31 (2016)
[8]
M Woldman, E van der Heide, D J Schipper, T Tinga, M A Masen. Investigating the influence of sand particle properties on abrasive wear behaviour. Wear, 294–295: 419-426 (2012)
[9]
I Finnie. Erosion of surfaces by solid particles. Wear, 3: 87-103 (1960)
[10]
J Archard. Contact, rubbing of flat surfaces. Journal of applied physics, 24: 981-988 (1953)
[11]
K Wellinger, H Breckel. Kenngrössen und Verschleiss beim Stoss metallischer Werkstoffe. Wear, 13: 257-281 (1969)
[12]
I M Hutchings. Tribology: friction and wear of engineering materials. United Kingdom: Elsevier 1992.
[13]
E Rabinowicz. Friction and wear of materials, 2 ed. New York: John Wiley and Sons, 1995.
[14]
Y Xue, J Chen, S Guo, Q Meng, J Luo. Finite element simulation and experimental test of the wear behavior for self-lubricating spherical plain bearings. Friction: (2018)
[15]
A Zhu, D He, S He, W Luo. Material removal mechanism of copper chemical mechanical polishing with different particle sizes based on quasi-continuum method. Friction, 5: 99-107 (2017)
[16]
O I Abdullah, J Schlattmann. Thermal behavior of friction clutch disc based on uniform pressure and uniform wear assumptions. Friction, 4: 228-237 (2016)
[17]
H Liu, H Liu, C Zhu, P Wei, J Tang. Tribological behavior of coated spur gear pairs with tooth surface roughness. Friction: (2018)
[18]
P W Cleary. Predicting charge motion, power draw, segregation and wear in ball mills using discrete element methods. Minerals Engineering, 11: 1061-1080 (1998)
[19]
J T Kalala, M H Moys. Discrete element method modelling of liner wear in dry ball milling. Journal of the Southern African Institute of Mining and Metallurgy, 104(10): 597-602 (2004)
[20]
J T Kalala, M Bwalya, M H Moys. Discrete element method (DEM) modelling of evolving mill liner profiles due to wear. Part II. Industrial case study. Minerals Engineering, 18: 1392-1397 (2005)
[21]
H Ashrafizadeh, F Ashrafizadeh. A numerical 3D simulation for prediction of wear caused by solid particle impact. Wear, 276–277: 75-84 (2012)
[22]
H Zhang, Y Tan, D Yang, F X Trias, S Jiang, Y Sheng, A Oliva. Numerical investigation of the location of maximum erosive wear damage in elbow: Effect of slurry velocity, bend orientation and angle of elbow. Powder Technology, 217: 467-476 (2012)
[23]
Y Tan, H Zhang, D Yang, S Jiang, J Song, Y Sheng. Numerical simulation of concrete pumping process and investigation of wear mechanism of the piping wall. Tribology International, 46: 137-144 (2012)
[24]
A Uzi, Y Ben Ami, A Levy. Erosion prediction of industrial conveying pipelines. Powder Technology, 309: 49-60 (2017)
[25]
M S Powell, N S Weerasekara, S Cole, R D LaRoche, J Favier. DEM modelling of liner evolution and its influence on grinding rate in ball mills. Minerals Engineering, 24: 341-351 (2011)
[26]
M Varga, C Goniva, K Adam, E Badisch. Combined experimental and numerical approach for wear prediction in feed pipes. Tribology International, 65: 200-206 (2013)
[27]
A Jafari, V Saljooghi Nezhad. Employing DEM to study the impact of different parameters on the screening efficiency and mesh wear. Powder Technology, 297: 126-143 (2016)
[28]
K W Chu, S B Kuang, A B Yu, A Vince, G D Barnett, P J Barnett. Prediction of wear and its effect on the multiphase flow and separation performance of dense medium cyclone. Minerals Engineering, 56: 91-101 (2014)
[29]
D Forsström, P Jonsén. Calibration and validation of a large scale abrasive wear model by coupling DEM-FEM: Local failure prediction from abrasive wear of tipper bodies during unloading of granular material. Engineering Failure Analysis, 66: 274-283 (2016)
[30]
N V Brilliantov, F Spahn, J-M Hertzsch, T Pöschel. Model for collisions in granular gases. Physical Review E, 53: 5382-5392 (1996)
[31]
J-M Hertzsch, F Spahn, N V Brilliantov. On Low-Velocity Collisions of Viscoelastic Particles. J. Phys. II France, 5: 1725-1738 (1995)
[32]
C W Gear. Numerical initial value problems in ordinary differential equations Englewood Cliffs, New Jersey: Prentice Hall, 1971.
[33]
Kloss Christoph, Goniva Christoph, Hager Alice, Amberger Stefan, Pirker Stefan. Models, algorithms and validation for open source DEM and CFD-DEM. Progress in Computational Fluid Dynamics An International Journal, 12(2/3): 140-152 (2012)
[34]
Ayachit U. “The ParaView Guide: A Parallel Visualization Application,” ed: Kitware, ISBN 978-1930934306, 2015.
[35]
G T Burstein, K Sasaki. Effect of impact angle on the slurry erosion–corrosion of 304L stainless steel. Wear, 240: 80-94 (2000)
[36]
G L Sheldon, A Kanhere. An investigation of impingement erosion using single particles. Wear, 21: 195-209 (1972)
[37]
S Chandel, S N Singh, V Seshadri. Experimental Study of Erosion Wear in a Centrifugal Slurry Pump Using Coriolis Wear Test Rig. Particulate Science and Technology, 30: 179-195 (2012)
[38]
M S Gok, O Gencel, V Koc, Y Kuchuk, V V Cay. Effect of abrasive particle sizes on abrasive wear of ceramic coatings sprayed by plasma process. Powder Metallurgy and Metal Ceramics, 50: 322-330 (2011)
[39]
C Trevisiol, A Jourani, S Bouvier. Effect of martensite volume fraction and abrasive particles size on friction and wear behaviour of a low alloy steel. Tribology International, 113: 411-425 (2017)
[40]
N Ojala, K Valtonen, P Kivikytö-Reponen, P Vuorinen, P Siitonen, V T Kuokkala. Effect of test parameters on large particle high speed slurry erosion testing. Tribology-Materials, Surfaces & Interfaces, 8: 98-104 (2014)
[41]
H M Clark, R B Hartwich. A re-examination of the ‘particle size effect’ in slurry erosion. Wear, 248: 147-161 (2001)
[42]
B K Gandhi, S V Borse. Effects of particle-size and size distribution on estimating erosion wear of cast iron in sand- water slurries. Indian Journal of Engineering & Materials Sciences, 9: 480-486 (2002)
[43]
K V Pagalthivarthi, J M Furlan, R J Visintainer. Effect of Particle Size Distribution on Erosion Wear in Centrifugal Pump Casings. V01CT20A005 (2013)
[44]
I Sevim, B Eryurek. Effect of abrasive particle size on wear resistance in non-heat-treated steels. Koveve Materialy, 43: 158-168 (2005)
[45]
M S Patil, E R Deore, , S Jahagirdar, S V Patil. Study of the Parameters Affecting Erosion Wear of Ductile Material in Solid-Liquid Mixture. Proceedings of the World Congress on Engineering: (2011)
[46]
S M Wiederhorn, B J Hockey. Effect of material parameters on the erosion resistance of brittle materials. Journal of Materials Science, 18: 766-780 (1983)
[47]
D Aquaro, E Fontani. Erosion of Ductile and Brittle Materials. Meccanica, 36: 651-661 (2001)
[48]
D Antypov, J A Elliott. On an analytical solution for the damped Hertzian spring. EPL (Europhysics Letters), 94: 50004 (2011)
[49]
R W Lyczkowski, J X Bouillard. State-of-the-art review of erosion modeling in fluid/solids systems. Progress in Energy and Combustion Science, 28: 543-602 (2002)
[50]
M Azimian, H-J Bart. CFD simulation and experimental analysis of erosion in a slurry tank test rig. EPJ Web of Conferences, 45: 01009 (2013)
[51]
P Okonkwo, A M A Mohamed, E Ahmed. Influence of particle velocities and impact angles on the erosion mechanisms of AISI 1018 steel. Advanced Materials Letters, 6: 653-659 (2015)
[52]
A N J Stevenson, I M Hutchings. Scaling laws for particle velocity in the gas-blast erosion test. Wear, 181-183: 56-62 (1995)
[53]
B A Lindsley, A R Marder. The effect of velocity on the solid particle erosion rate of alloys. Wear, 225–229: 510-516 (1999)
[54]
E Rodríguez, M Flores, A Pérez, R D Mercado-Solis, R González, J Rodríguez, S Valtierra. Erosive wear by silica sand on AISI H13 and 4140 steels. Wear, 267: 2109-2115 (2009)
Friction
Pages 136-150
Cite this article:
JAFARI A, ABBASI HATTANI R. Investigation of parameters influencing erosive wear using DEM. Friction, 2020, 8(1): 136-150. https://doi.org/10.1007/s40544-018-0252-4

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Received: 15 September 2017
Revised: 08 May 2018
Accepted: 28 October 2018
Published: 02 March 2019
© The author(s) 2018

This article is published with open access at Springerlink.com

Open Access: The articles published in this journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http:// creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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