Sliding wear behaviour is a very complex procedure where several parameters, including nature of the two abrading bodies and variables related to the conditions under which the actual experiments were conducted, may influence the final material loss. Disentangling these parameters will improve the understanding and the predictions can be compared with the performance of the existing materials. An attempt was made in the current work to develop a model, considering several material specific variables (e.g. composition, microstructure, hardness, etc.) along with the experimental conditions (load, distance, temperature, etc.). The predictions were quite consistent with existing knowledge. The model was also validated with actual experiments with varying load and distance slid conditions which were never known to the model.
NeogSPDas BakshiSDasS.Microstructural evolution of novel continuously cooled carbide free bainitic steel during sliding wear. Wear. 2020; 456:203359.
2.
ViafaraCCCastroMIVélezJMUnlubricated sliding wear of pearlitic and bainitic steels. Wear. 2005; 259(1–6):405–411.
3.
ShipwayPHWoodSJDentAH.The hardness and sliding wear behaviour of a bainitic steel. Wear. 1997; 203:196–205.
4.
BortoletoEMRovaniACSeriacopiVExperimental and numerical analysis of dry contact in the pin on disc test. Wear. 2013; 301:19–26.
5.
JoshySJayadevanKRRameshAInfluence of loading conditions on wear behaviour of H11 tool steel. World J. Eng. 2019; 16(5):614–624.
6.
WangSQWeiMXZhaoYT.Effects of the tribo-oxide and matrix on dry sliding wear characteristics and mechanisms of a cast steel. Wear. 2010; 269(5–6):424–434.
7.
PratesLDe AlmeidaFEntringerLStudy of sliding wear of the wheel flange - rail gauge corner contact conditions: comparative between cast and forged steel wheel materials. Wear. 2019; 432–433:102894.
8.
MoghaddamPVHardellJVuorinenEEffect of retained austenite on adhesion-dominated wear of nanostructured carbide-free bainitic steel. Tribol Int. 2020; 150:106348.
9.
BressanJDDarosDPSokolowskiAInfluence of hardness on the wear resistance of 17-4 PH stainless steel evaluated by the pin-on-disc testing. J Mater Process Technol. 2008; 205(1–3):353–359.
10.
MiabSAAvishanBYazdaniS.Wear resistance of two nanostructural bainitic steels with different amounts of Mn and Ni. Acta Metall Sin (Engl Lett). 2016; 29(6):587–594.
11.
LyuYZhuYOlofssonU.Wear between wheel and rail: A pin-on-disc study of environmental conditions and iron oxides. Wear. 2015; 328–329:277–285.
12.
HernandezS.Friction and wear phenomena in steels at elevated temperatures. PhD dissertation, Luleå tekniska universitet, 2016.
13.
ParayeNKNeogSPGhoshPKSurface modification of AISI 8620 steel by in-situ grown TiC particle using TIG arcing. Surf Coat Technol. 2021; 405:126533.
14.
JonesSPJansenRFusaroRL.Preliminary investigation of neural network techniques to predict tribological properties. Tribol Trans. 1997; 40(2):312–320.
15.
YetimAFCodurMYYaziciM.Using of artificial neural network for the prediction of tribological properties of plasma nitrided 316L stainless steel. Mater Lett. 2015; 158:170–173.
16.
SanjayCNeemaMLChinCW.Modeling of tool wear in drilling by statistical analysis and artificial neural network. J Mater Process Technol. 2005; 170(3):494–500.
17.
TylczakJHHawkJAWilsonRD.A comparison of laboratory abrasion and field wear results. Wear. 1999; 225–229:1059–1069.
18.
InnocentiAMariniLMeliEDevelopment of a wear model for the analysis of complex railway networks. Wear. 2014; 309(1–2):174–191.
19.
ShahMDas BakshiS.Three-body abrasive wear of carbide-free bainite, martensite and bainite-martensite structure of similar hardness. Wear. 2018; 402–403:207–215.
20.
LiuJPLiYQZhouQYNew insight into the dry rolling-sliding wear mechanism of carbide-free bainitic and pearlitic steel. Wear. 2019; 432–433:202943.
21.
LeiroAVuorinenESundinKGWear of nano-structured carbide-free bainitic steels under dry rolling-sliding conditions. Wear. 2013; 298–299:42–47.
22.
EfremenkoVGHesseOFriedrichTTwo-body abrasion resistance of high-carbon high-silicon steel: metastable austenite vs nanostructured bainite. Wear. 2019; 418–419:24–35.
23.
BhadeshiaHKDH.Neural networks in materials science. Encycl Mater Sci Technol. 2008; 39(10):1–5.
24.
BhadeshiaHKDHDimitriuRCForsikSPerformance of neural networks in materials science. Mater Sci Technol. 2009; 25(4):504–510.
25.
DasSSinghSBMohantyONUnderstanding the complexities of bake hardening. Mater Sci Technol. 2008; 24(1):107–111.
26.
DasSSinghSBMohantyON.Effect of free carbon and aging condition on bake hardening. Ironmaking Steelmaking. 2011; 38(2):139–143.
27.
LodhABiswasADasS.Modelling hot strength behaviour of steel. Ironmaking Steelmaking. 2014; 42(4):290–301.
28.
Garcia-MateoCCapdevilaCCaballeroFGArtificial neural network modeling for the prediction of critical transformation temperatures in steels. J Mater Sci. 2007; 42(14):5391–5397.
29.
DattaSChattopadhyayPP.Soft computing techniques in advancement of structural metals. Int Mater Rev. 2013; 58(8):475–504.
ArgatovIIChaiYS.An artificial neural network supported regression model for wear rate. Tribol Int. 2019; 138:211–214.
32.
ArgatovIIChaiYS.Artificial neural network modeling of sliding wear. Proc Inst Mech Eng Part J J Eng Tribol. 2020; 235:748–757.
33.
MazraehA. Sliding wear behavior of self-mated carbide-free bainitic steels. Masters dissertation, Lulea University of Technology, 2018.
34.
MasoumiMAndersonEEcheverriAImprovement of wear resistance in a pearlitic rail steel via quenching and partitioning processing. Sci Rep. 2019; 9:1–12.
35.
KatoHEyreTSRalphB.Wear mechanism map of nitrided steel. Acta Metall Mater. 1994; 42(5):1703–1713.
36.
SinghJNathSK.Improvement in mechanical properties and wear resistance of 13Cr–4Ni martensitic steel by cyclic heat treatment. Trans Indian Inst Met. 2020; 73(10):2519–2528.
37.
KheyrodinMHabibolahzadehAMousaviSB.Wear and corrosion behaviors of duplex surface treated 316L austenitic stainless steel via combination of boriding and chromizing. Prot Met Phys Chem Surf. 2017; 53(1):105–111.
38.
NeogSP. Microstructural development during dry sliding wear of carbide free bainitic steel. Ph.D. Thesis, IIT Roorkee, 2021.
39.
TalasS.The assessment of carbon equivalent formulas in predicting the properties of steel weld metals. Mater Des. 2010; 31(5):2649–2653.
LimSCAshbyMFBruntonJH.Wear-rate transitions and their relationship to wear mechanisms. Acta Metall. 1987; 35(6):1343–1348.
45.
HurricksPL.Some metallurgical factors controlling the adhesive and abrasive wear resistance of steels. A review. Wear. 1973; 26(3):285–304.
46.
ArchardJF.Contact and rubbing of flat surfaces. J Appl Phys. 1953; 24(8):981–988.
47.
NeogSPDas BakshiSDasS.Effect of normal loading on microstructural evolution and sliding wear behaviour of novel continuously cooled carbide free bainitic steel. Tribol Int. 2021; 157:106846.
48.
NarayanaswamyBHodgsonPBeladiH.Comparisons of the two-body abrasive wear behaviour of four different ferrous microstructures with similar hardness levels. Wear. 2016; 350–351:155–165.
49.
Das BakshiSShipwayPHBhadeshiaHKDH.Three-body abrasive wear of fine pearlite, nanostructured bainite and martensite. Wear. 2013; 308(1–2):46–53.
50.
ChangLC.The rolling/sliding wear performance of high silicon carbide-free bainitic steels. Wear. 2005; 258(5–6):730–743.
51.
LiuBLiWLuXThe effect of retained austenite stability on impact-abrasion wear resistance in carbide-free bainitic steels. Wear. 2019; 428–429:127–136.
52.
MoghaddamPVHardellJVuorinenEThe role of retained austenite in dry rolling/sliding wear of nanostructured carbide-free bainitic steels. Wear. 2019; 428–429:193–204.
53.
LeiroAKankanalaAVuorinenETribological behaviour of carbide-free bainitic steel under dry rolling/sliding conditions. Wear. 2011; 273(1):2–8.
54.
MooreMA.The relationship between the abrasive wear resistance, hardness and microstructure of ferritic materials. Wear. 1974; 28(1):59–68.
55.
ChiangJLawrenceBBoydJDEffect of microstructure on retained austenite stability and work hardening of TRIP steels. Mater Sci Eng A. 2011; 528(13–14):4516–4521.
56.
QuinnTFJ.Oxidational wear modelling: part II. The general theory of oxidational wear. Wear. 1994; 175(1–2):199–208.
57.
QuinnTFJ.Oxidational wear modelling part III. The effects of speed and elevated temperatures. Wear. 1998; 216(2):262–275.
58.
QuinnTFJ.Review of oxidational wear. part I: The origins of oxidational wear. Tribol Int. 1983; 16(5):257–271.
59.
Garcia-MateoCPeetMCaballeroFGTempering of hard mixture of bainitic ferrite and austenite. Mater Sci Technol. 2004; 20:814–818.
60.
BiroEMcDermidJRVignierSDecoupling of the softening processes during rapid tempering of a martensitic steel. Mater Sci Eng A. 2014; 615:395–404.
61.
Baltazar HernandezVHNayakSSZhouY.Tempering of martensite in dual-phase steels and its effects on softening behavior. Metall Mater Trans A. 2011; 42(10):3115–3129.
62.
HornbogenE.Role of fracture toughness in the wear of metals. Wear. 1975; 33(2):251–259.
63.
StottFH.High-temperature sliding wear of metals. Tribol Int. 2002; 35(8):489–495.
64.
PauschitzARoyMFranekF.Mechanisms of sliding wear of metals and alloys at elevated temperatures. Tribol Int. 2008; 41(7):584–602.
65.
QuinnTFJ.Role of oxidation in the mild wear of steel. Br J Appl Phys. 1962; 13(1):33–37.
66.
SullivanJLQuinnTFJRowsonDM.Developments in the oxidational theory of mild wear. Tribol Int. 1980; 13(4):153–158.
67.
QuinnTFJRowsonDMSullivanJL.Application of the oxidational theory of mild wear to the sliding wear of low alloy steel. Wear. 1980; 65(1):1–20.
68.
WangSQWeiMXWangFTransition of mild wear to severe wear in oxidative wear of H21 steel. Tribol Lett. 2008; 32(2):67–72.
