Debris effect on the surface wear and damage evolution of counterpart materials subjected to contact sliding

Wei Li , Liang-Chi Zhang , Chu-Han Wu , Zhen-Xiang Cui , Chao Niu , Yan Wang

Advances in Manufacturing ›› 2022, Vol. 10 ›› Issue (1) : 72 -86.

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Advances in Manufacturing ›› 2022, Vol. 10 ›› Issue (1) : 72 -86. DOI: 10.1007/s40436-021-00377-8
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Debris effect on the surface wear and damage evolution of counterpart materials subjected to contact sliding

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Abstract

This paper aims to explore the debris effect on surface wear and damage evolution of counterpart materials during contact sliding. A cylinder-on-flat testing configuration is used to investigate the wear behaviours of the contact pair. To explore the roles of wear debris, compressed air is applied to remove the debris in sliding zones. The comparative study demonstrates that the influence of debris removal is related to the surface properties of contact pairs. When substantial wear debris accumulates on the tool surface, debris removal can considerably alter surface damage evolution, resulting in different friction transitions, distinct surface morphology of contact pair, as well as different rates of material removal. It has been found that the surface damage evolution will not reach a stable stage unless the increase of wear particle number ceases or the average size of wear particles becomes lower than a specific threshold. However, the influence of debris removal reduces when the adhesion between the contact pair materials gets smaller.

Keywords

Sliding wear / Debris effect / Debris distribution / Contact sliding / Metal forming

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Wei Li, Liang-Chi Zhang, Chu-Han Wu, Zhen-Xiang Cui, Chao Niu, Yan Wang. Debris effect on the surface wear and damage evolution of counterpart materials subjected to contact sliding. Advances in Manufacturing, 2022, 10(1): 72-86 DOI:10.1007/s40436-021-00377-8

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References

[1]

Chen JP, Gu L, Zhao WS, et al. Modeling of flow and debris ejection in blasting erosion arc machining in end milling mode. Adv Manuf, 2020, 8: 508-518.

[2]

Pramanik A, Zhang L. Particle fracture and debonding during orthogonal machining of metal matrix composites. Adv Manuf, 2017, 5: 77-82.

[3]

Cocks M. Wear debris in the contact between sliding metals. J Appl Phys, 1958, 29: 1609-1610.

[4]

Conor P, McRobie D. Wear debris generated during high velocity sliding contact. Wear, 1981, 69: 189-204.

[5]

Hiratsuka KI. Environmental effects on the formation process of adhesive wear particles. Tribol Int, 1995, 28: 279-286.

[6]

Jr Jones WR, Nagaraj H, Winer WO (1978) Ferrographic analysis of wear debris generated in a sliding elastohydrodynamic contact. ASLE Trans 21:181–190

[7]

Yuan C, Peng Z, Zhou X, et al. The characterization of wear transitions in sliding wear process contaminated with silica and iron powder. Tribol Int, 2005, 38: 129-143.

[8]

Sherrington I, Hayhurst P. Simultaneous observation of the evolution of debris density and friction coefficient in dry sliding steel contacts. Wear, 2001, 249: 182-187.

[9]

Constable C, Yarwood J, Hovsepian P, et al. Structural determination of wear debris generated from sliding wear tests on ceramic coatings using Raman microscopy. J Vac Sci Technol A: Vac Surf Films, 2000, 18: 1681-1689.

[10]

Costa H, Junior MO, De Mello J. Effect of debris size on the reciprocating sliding wear of aluminium. Wear, 2017, 376: 1399-1410.

[11]

Abouel KA, Emara K, Ahmed S. Characterizing cavitation erosion particles by analysis of SEM images. Tribol Int, 2009, 42: 130-136.

[12]

Verma PC, Alemani M, Gialanella S, et al. Wear debris from brake system materials: a multi-analytical characterization approach. Tribol Int, 2016, 94: 249-259.

[13]

Kirk T, Stachowiak G, Batchelor A. Fractal parameters and computer image analysis applied to wear particles isolated by ferrography. Wear, 1991, 145: 347-365.

[14]

Stachowiak GP, Stachowiak GW, Podsiadlo P. Automated classification of wear particles based on their surface texture and shape features. Tribol Int, 2008, 41: 34-43.

[15]

Li W, Zhang L, Chen X, et al. Fuzzy modelling of surface scratching in contact sliding. IOP Conf Ser Mater Sci Eng, 2020, 967: 012022.

[16]

Li W, Zhang L, Chen X, et al. Predicting the evolution of sheet metal surface scratching by the technique of artificial intelligence. Int J Adv Manuf Technol, 2021, 112: 853-865.

[17]

Li W, Zhang L, Wu C, et al. Influence of tool and workpiece properties on the wear of the counterparts in contact sliding. J Tribol, 2021, 144.

[18]

Hiratsuka K, Goto M. The role of changes in hardness of subsurfaces, transfer particles and wear particles in initial-steady wear transition. Wear, 2000, 238: 70-77.

[19]

Ken’ichi H, Ken’ichi M (2005) Role of wear particles in severe-mild wear transition. Wear 259(1/6):467–476

[20]

Kato H. Effects of supply of fine oxide particles onto rubbing steel surfaces on severe-mild wear transition and oxide film formation. Tribol Int, 2008, 41: 735-742.

[21]

Junior MDO, Costa H, Junior WS, et al. Effect of iron oxide debris on the reciprocating sliding wear of tool steels. Wear, 2019, 426: 1065-1075.

[22]

Barrau O, Boher C, Gras R, et al. Wear mecahnisms and wear rate in a high temperature dry friction of AISI H11 tool steel: influence of debris circulation. Wear, 2007, 263: 160-168.

[23]

Harris KL, Curry JF, Pitenis AA, et al. Wear debris mobility, aligned surface roughness, and the low wear behavior of filled polytetrafluoroethylene. Tribol Lett, 2015, 60: 1-8.

[24]

Shi H, Du S, Sun C, et al. Behavior of wear debris and its action mechanism on the tribological properties of medium-carbon steel with magnetic field. Materials, 2019, 12: 45.

[25]

Xu J, Mo J, Huang B, et al. Reducing friction-induced vibration and noise by clearing wear debris from contact surface by blowing air and adding magnetic field. Wear, 2018, 408: 238-247.

[26]

Österle W, Dörfel I, Prietzel C, et al. A comprehensive microscopic study of third body formation at the interface between a brake pad and brake disc during the final stage of a pin-on-disc test. Wear, 2009, 267: 781-788.

[27]

Zhang L, Tanaka H. Towards a deeper understanding of wear and friction on the atomic scale—a molecular dynamics analysis. Wear, 1997, 211: 44-53.

[28]

Zhang L, Tanaka H. Atomic scale deformation in silicon monocrystals induced by two-body and three-body contact sliding. Tribol Int, 1998, 31: 425-433.

[29]

Nikas G, Sayles R, Loannides E. Effects of debris particles in sliding/rolling elastohydrodynamic contacts. Proc Inst Mech Eng Part J J Eng Tribol, 1998, 212: 333-343.

[30]

Everitt CM, Vrček A, Alfredsson B. Experimental and numerical investigation of asperities and indents with respect to rolling contact fatigue. Tribol Int, 2020, 151.

[31]

Nel´ ias D, Ville F. Detrimental effects of debris dents on rolling contact fatigue. J Trib, 2000, 122(1): 55-64.

[32]

Labiapari WdS, de Alcântara CM, Costa HL, et al. Wear debris generation during cold rolling of stainless steels. J Mater Process Technol, 2015, 223: 164-170.

[33]

Khan T, Tamura Y, Yamamoto H et al (2021) Investigation of the tribological and tribochemical interactions of different ferrous layers applied to nitride surfaces. J Tribol 143(1):011705. https://doi.org/10.1115/1.4047588

[34]

Mohrbacher H. Metallurgical concepts for optimized processing and properties of carburizing steel. Adv Manuf, 2016, 4: 105-114.

[35]

Wang W, Zheng X, Hua M, et al. Influence of surface modification on galling resistance of DC53 tool steel against galvanized advanced high strength steel sheet. Wear, 2016, 360: 1-13.

[36]

Stott F, Jordan M. The effects of load and substrate hardness on the development and maintenance of wear-protective layers during sliding at elevated temperatures. Wear, 2001, 250: 391-400.

Funding

baosteel australia research and development centre(BA17001)

arc hub for computational particle technology(IH140100035)

chinese guangdong specific discipline project(2020ZDZX2006)

shenzhen key laboratory project of cross-scale manufacturing mechanics(ZDSYS20200810171201007)

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