Sensitivity analysis of the influence of particle dynamic friction, rolling resistance and volume/shear work ratio on wear loss and friction force using DEM model of dry sand rubber wheel test
The discrete element method (DEM) can improve wear model owing to its complexity. In this study, the laboratory results of the dry sand rubber wheel test (DSRWT) wear loss and friction force results at various loads (17, 35, 57, 78 and 100 N) were compared with those modelled by the DEM. The sensiti...
Ausführliche Beschreibung
Autor*in: |
Katinas, Egidijus [verfasserIn] Chotěborský, Rostislav [verfasserIn] Linda, Miloslav [verfasserIn] Kuře, Jiři [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2021 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Tribology international - Amsterdam [u.a.] : Elsevier Science, 1975, 156 |
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Übergeordnetes Werk: |
volume:156 |
DOI / URN: |
10.1016/j.triboint.2021.106853 |
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Katalog-ID: |
ELV005474787 |
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245 | 1 | 0 | |a Sensitivity analysis of the influence of particle dynamic friction, rolling resistance and volume/shear work ratio on wear loss and friction force using DEM model of dry sand rubber wheel test |
264 | 1 | |c 2021 | |
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520 | |a The discrete element method (DEM) can improve wear model owing to its complexity. In this study, the laboratory results of the dry sand rubber wheel test (DSRWT) wear loss and friction force results at various loads (17, 35, 57, 78 and 100 N) were compared with those modelled by the DEM. The sensitivity of particle parameters (dynamic friction of rubber-sand, dynamic friction of sand-steel, and rolling resistance of the particle) was evaluated by variance, regression, and Pareto statistical analyses. The wheel and sample contact stress analyses confirmed that employing the progressive volume/shear work ratio parameter is required during the simulation; this parameter increases/decreases the wear intensity of the tested material during the simulation. | ||
650 | 4 | |a Dry sand rubber wheel test | |
650 | 4 | |a Wear model | |
650 | 4 | |a Dynamic friction | |
650 | 4 | |a Volume/shear work ratio | |
700 | 1 | |a Chotěborský, Rostislav |e verfasserin |4 aut | |
700 | 1 | |a Linda, Miloslav |e verfasserin |0 (orcid)0000-0003-2753-4144 |4 aut | |
700 | 1 | |a Kuře, Jiři |e verfasserin |4 aut | |
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936 | b | k | |a 52.12 |j Tribologie |
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publishDate |
2021 |
allfields |
10.1016/j.triboint.2021.106853 doi (DE-627)ELV005474787 (ELSEVIER)S0301-679X(21)00001-3 DE-627 ger DE-627 rda eng 660 DE-600 52.12 bkl Katinas, Egidijus verfasserin aut Sensitivity analysis of the influence of particle dynamic friction, rolling resistance and volume/shear work ratio on wear loss and friction force using DEM model of dry sand rubber wheel test 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The discrete element method (DEM) can improve wear model owing to its complexity. In this study, the laboratory results of the dry sand rubber wheel test (DSRWT) wear loss and friction force results at various loads (17, 35, 57, 78 and 100 N) were compared with those modelled by the DEM. The sensitivity of particle parameters (dynamic friction of rubber-sand, dynamic friction of sand-steel, and rolling resistance of the particle) was evaluated by variance, regression, and Pareto statistical analyses. The wheel and sample contact stress analyses confirmed that employing the progressive volume/shear work ratio parameter is required during the simulation; this parameter increases/decreases the wear intensity of the tested material during the simulation. Dry sand rubber wheel test Wear model Dynamic friction Volume/shear work ratio Chotěborský, Rostislav verfasserin aut Linda, Miloslav verfasserin (orcid)0000-0003-2753-4144 aut Kuře, Jiři verfasserin aut Enthalten in Tribology international Amsterdam [u.a.] : Elsevier Science, 1975 156 Online-Ressource (DE-627)314125485 (DE-600)1501092-2 (DE-576)116451750 0301-679X nnns volume:156 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.12 Tribologie AR 156 |
spelling |
10.1016/j.triboint.2021.106853 doi (DE-627)ELV005474787 (ELSEVIER)S0301-679X(21)00001-3 DE-627 ger DE-627 rda eng 660 DE-600 52.12 bkl Katinas, Egidijus verfasserin aut Sensitivity analysis of the influence of particle dynamic friction, rolling resistance and volume/shear work ratio on wear loss and friction force using DEM model of dry sand rubber wheel test 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The discrete element method (DEM) can improve wear model owing to its complexity. In this study, the laboratory results of the dry sand rubber wheel test (DSRWT) wear loss and friction force results at various loads (17, 35, 57, 78 and 100 N) were compared with those modelled by the DEM. The sensitivity of particle parameters (dynamic friction of rubber-sand, dynamic friction of sand-steel, and rolling resistance of the particle) was evaluated by variance, regression, and Pareto statistical analyses. The wheel and sample contact stress analyses confirmed that employing the progressive volume/shear work ratio parameter is required during the simulation; this parameter increases/decreases the wear intensity of the tested material during the simulation. Dry sand rubber wheel test Wear model Dynamic friction Volume/shear work ratio Chotěborský, Rostislav verfasserin aut Linda, Miloslav verfasserin (orcid)0000-0003-2753-4144 aut Kuře, Jiři verfasserin aut Enthalten in Tribology international Amsterdam [u.a.] : Elsevier Science, 1975 156 Online-Ressource (DE-627)314125485 (DE-600)1501092-2 (DE-576)116451750 0301-679X nnns volume:156 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.12 Tribologie AR 156 |
allfields_unstemmed |
10.1016/j.triboint.2021.106853 doi (DE-627)ELV005474787 (ELSEVIER)S0301-679X(21)00001-3 DE-627 ger DE-627 rda eng 660 DE-600 52.12 bkl Katinas, Egidijus verfasserin aut Sensitivity analysis of the influence of particle dynamic friction, rolling resistance and volume/shear work ratio on wear loss and friction force using DEM model of dry sand rubber wheel test 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The discrete element method (DEM) can improve wear model owing to its complexity. In this study, the laboratory results of the dry sand rubber wheel test (DSRWT) wear loss and friction force results at various loads (17, 35, 57, 78 and 100 N) were compared with those modelled by the DEM. The sensitivity of particle parameters (dynamic friction of rubber-sand, dynamic friction of sand-steel, and rolling resistance of the particle) was evaluated by variance, regression, and Pareto statistical analyses. The wheel and sample contact stress analyses confirmed that employing the progressive volume/shear work ratio parameter is required during the simulation; this parameter increases/decreases the wear intensity of the tested material during the simulation. Dry sand rubber wheel test Wear model Dynamic friction Volume/shear work ratio Chotěborský, Rostislav verfasserin aut Linda, Miloslav verfasserin (orcid)0000-0003-2753-4144 aut Kuře, Jiři verfasserin aut Enthalten in Tribology international Amsterdam [u.a.] : Elsevier Science, 1975 156 Online-Ressource (DE-627)314125485 (DE-600)1501092-2 (DE-576)116451750 0301-679X nnns volume:156 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.12 Tribologie AR 156 |
allfieldsGer |
10.1016/j.triboint.2021.106853 doi (DE-627)ELV005474787 (ELSEVIER)S0301-679X(21)00001-3 DE-627 ger DE-627 rda eng 660 DE-600 52.12 bkl Katinas, Egidijus verfasserin aut Sensitivity analysis of the influence of particle dynamic friction, rolling resistance and volume/shear work ratio on wear loss and friction force using DEM model of dry sand rubber wheel test 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The discrete element method (DEM) can improve wear model owing to its complexity. In this study, the laboratory results of the dry sand rubber wheel test (DSRWT) wear loss and friction force results at various loads (17, 35, 57, 78 and 100 N) were compared with those modelled by the DEM. The sensitivity of particle parameters (dynamic friction of rubber-sand, dynamic friction of sand-steel, and rolling resistance of the particle) was evaluated by variance, regression, and Pareto statistical analyses. The wheel and sample contact stress analyses confirmed that employing the progressive volume/shear work ratio parameter is required during the simulation; this parameter increases/decreases the wear intensity of the tested material during the simulation. Dry sand rubber wheel test Wear model Dynamic friction Volume/shear work ratio Chotěborský, Rostislav verfasserin aut Linda, Miloslav verfasserin (orcid)0000-0003-2753-4144 aut Kuře, Jiři verfasserin aut Enthalten in Tribology international Amsterdam [u.a.] : Elsevier Science, 1975 156 Online-Ressource (DE-627)314125485 (DE-600)1501092-2 (DE-576)116451750 0301-679X nnns volume:156 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.12 Tribologie AR 156 |
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10.1016/j.triboint.2021.106853 doi (DE-627)ELV005474787 (ELSEVIER)S0301-679X(21)00001-3 DE-627 ger DE-627 rda eng 660 DE-600 52.12 bkl Katinas, Egidijus verfasserin aut Sensitivity analysis of the influence of particle dynamic friction, rolling resistance and volume/shear work ratio on wear loss and friction force using DEM model of dry sand rubber wheel test 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The discrete element method (DEM) can improve wear model owing to its complexity. In this study, the laboratory results of the dry sand rubber wheel test (DSRWT) wear loss and friction force results at various loads (17, 35, 57, 78 and 100 N) were compared with those modelled by the DEM. The sensitivity of particle parameters (dynamic friction of rubber-sand, dynamic friction of sand-steel, and rolling resistance of the particle) was evaluated by variance, regression, and Pareto statistical analyses. The wheel and sample contact stress analyses confirmed that employing the progressive volume/shear work ratio parameter is required during the simulation; this parameter increases/decreases the wear intensity of the tested material during the simulation. Dry sand rubber wheel test Wear model Dynamic friction Volume/shear work ratio Chotěborský, Rostislav verfasserin aut Linda, Miloslav verfasserin (orcid)0000-0003-2753-4144 aut Kuře, Jiři verfasserin aut Enthalten in Tribology international Amsterdam [u.a.] : Elsevier Science, 1975 156 Online-Ressource (DE-627)314125485 (DE-600)1501092-2 (DE-576)116451750 0301-679X nnns volume:156 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.12 Tribologie AR 156 |
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Katinas, Egidijus Chotěborský, Rostislav Linda, Miloslav Kuře, Jiři |
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sensitivity analysis of the influence of particle dynamic friction, rolling resistance and volume/shear work ratio on wear loss and friction force using dem model of dry sand rubber wheel test |
title_auth |
Sensitivity analysis of the influence of particle dynamic friction, rolling resistance and volume/shear work ratio on wear loss and friction force using DEM model of dry sand rubber wheel test |
abstract |
The discrete element method (DEM) can improve wear model owing to its complexity. In this study, the laboratory results of the dry sand rubber wheel test (DSRWT) wear loss and friction force results at various loads (17, 35, 57, 78 and 100 N) were compared with those modelled by the DEM. The sensitivity of particle parameters (dynamic friction of rubber-sand, dynamic friction of sand-steel, and rolling resistance of the particle) was evaluated by variance, regression, and Pareto statistical analyses. The wheel and sample contact stress analyses confirmed that employing the progressive volume/shear work ratio parameter is required during the simulation; this parameter increases/decreases the wear intensity of the tested material during the simulation. |
abstractGer |
The discrete element method (DEM) can improve wear model owing to its complexity. In this study, the laboratory results of the dry sand rubber wheel test (DSRWT) wear loss and friction force results at various loads (17, 35, 57, 78 and 100 N) were compared with those modelled by the DEM. The sensitivity of particle parameters (dynamic friction of rubber-sand, dynamic friction of sand-steel, and rolling resistance of the particle) was evaluated by variance, regression, and Pareto statistical analyses. The wheel and sample contact stress analyses confirmed that employing the progressive volume/shear work ratio parameter is required during the simulation; this parameter increases/decreases the wear intensity of the tested material during the simulation. |
abstract_unstemmed |
The discrete element method (DEM) can improve wear model owing to its complexity. In this study, the laboratory results of the dry sand rubber wheel test (DSRWT) wear loss and friction force results at various loads (17, 35, 57, 78 and 100 N) were compared with those modelled by the DEM. The sensitivity of particle parameters (dynamic friction of rubber-sand, dynamic friction of sand-steel, and rolling resistance of the particle) was evaluated by variance, regression, and Pareto statistical analyses. The wheel and sample contact stress analyses confirmed that employing the progressive volume/shear work ratio parameter is required during the simulation; this parameter increases/decreases the wear intensity of the tested material during the simulation. |
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title_short |
Sensitivity analysis of the influence of particle dynamic friction, rolling resistance and volume/shear work ratio on wear loss and friction force using DEM model of dry sand rubber wheel test |
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Chotěborský, Rostislav Linda, Miloslav Kuře, Jiři |
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