Simulation of Solid Particle Erosion Wear Using Discrete Element Method: Comparison of Experimental and Analysis Results

dc.contributor.author Aydin, Mehmet Esat
dc.contributor.author Firat, Veysel
dc.contributor.author Bagci, Mehmet
dc.date.accessioned 2025-12-24T21:38:10Z
dc.date.available 2025-12-24T21:38:10Z
dc.date.issued 2025
dc.description.abstract The Discrete Element Method (DEM) stands out as an effective computational tool for modeling complex mechanical wear processes such as solid particle erosion. The DEM method offers significant advantages in terms of providing realistic results, particularly when it comes to examining particle and surface interactions over time and predicting surface deformations. In this study, the effectiveness of DEM in determining the solid particle erosion wear behavior was evaluated by comparing it with experimental data. In the experimental phase, aluminum oxide (Al2O3) particles were impacted onto St37 structural steel samples at different impact angles (30 degrees, 60 degrees, 90 degrees) and different quantities (1, 2, 3 kg) to calculate erosion rates. DEM based simulation analyses were performed using the same parameters, and surface deformations were modelled. When compared with experimental data, the simulation results showed high convergence, particularly at high impact angles such as 60 degrees and 90 degrees (5-15 % deviation). However, deviations increased at low impact angles such as 30 degrees. While DEM analyses can successfully predict surface embedment deformations, they have not been able to adequately reflect damage caused by ductile behavior such as sliding. The surface embedment effect has shown a similarity of around 5 % at high impact angles compared to experimental data. In addition, ANOVA tests were applied to the erosion rates found in experiments and simulations to statistically evaluate the results. The test results statistically revealed that the most effective variable on the erosion rate was the angle of impact (p < 0.0001). The results demonstrate that the discrete element method is a reliable approach for modeling solid particle erosion wear behavior and, when used in conjunction with experimental data, can provide effective solutions for predicting and preventing erosion-induced damage during the design phase in systems such as jet engine turbines, space applications, and dust particle interaction engineering problems. en_US
dc.identifier.doi 10.1016/j.partic.2025.10.003
dc.identifier.issn 1674-2001
dc.identifier.issn 2210-4291
dc.identifier.scopus 2-s2.0-105020973421
dc.identifier.uri https://doi.org/10.1016/j.partic.2025.10.003
dc.identifier.uri https://hdl.handle.net/123456789/12730
dc.language.iso en en_US
dc.publisher Elsevier Science Inc en_US
dc.relation.ispartof Particuology en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Discrete Element Method en_US
dc.subject ANOVA en_US
dc.subject Solid Particle Erosion Wear en_US
dc.subject Surface Damage en_US
dc.subject Impact Angle en_US
dc.title Simulation of Solid Particle Erosion Wear Using Discrete Element Method: Comparison of Experimental and Analysis Results en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.scopusid 60142602300
gdc.author.scopusid 60170816400
gdc.author.scopusid 26434127300
gdc.author.wosid Bagci, Mehmet/Abi-4797-2020
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C5
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.description.department Konya Technical University en_US
gdc.description.departmenttemp [Aydin, Mehmet Esat; Bagci, Mehmet] Konya Tech Univ, Fac Engn & Nat Sci, Mech Engn Dept, TR-42250 Konya, Turkiye; [Firat, Veysel] Selcuk Univ, Akoren Ali Riza Ercan Vocat Sch, Dept Comp Technol, TR-42060 Konya, Turkiye en_US
gdc.description.endpage 156 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 134 en_US
gdc.description.volume 107 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q2
gdc.identifier.openalex W4415320757
gdc.identifier.wos WOS:001607927100001
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.diamondjournal false
gdc.oaire.impulse 0.0
gdc.oaire.influence 2.4895952E-9
gdc.oaire.isgreen false
gdc.oaire.popularity 2.7494755E-9
gdc.oaire.publicfunded false
gdc.openalex.fwci 0.0
gdc.openalex.normalizedpercentile 0.25
gdc.opencitations.count 0
gdc.plumx.scopuscites 0
gdc.scopus.citedcount 0
gdc.virtual.author Bağcı, Mehmet
gdc.wos.citedcount 0
relation.isAuthorOfPublication eb39be78-b8bf-46d8-80e4-23e3481fa1b3
relation.isAuthorOfPublication.latestForDiscovery eb39be78-b8bf-46d8-80e4-23e3481fa1b3

Files