Effect of surface roughness on wear rate during running-in of En31-steel: Model and experimental validation
Running-in wear is very important from the operational view point of a mechanical component in tribological and other machining operations such as polishing and finishing. Two important parameters undergo severe changes during the running-in viz wear rate and surface roughness. Numerous wear models...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Hanief, M. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016transfer abstract |
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| Schlagwörter: |
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| Umfang: |
3 |
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| Übergeordnetes Werk: |
Enthalten in: New associations and host status: Infestability of kiwifruit by the fruit fly species - Follett, Peter A. ELSEVIER, 2018, an interdisciplinary journal affiliated with the Materials Research Society and the Materials Society Japan, devoted to the rapid publication of short communications on the science, applications and processing of materials, New York, NY [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:176 ; year:2016 ; day:1 ; month:08 ; pages:91-93 ; extent:3 |
| Links: |
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| DOI / URN: |
10.1016/j.matlet.2016.04.087 |
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ELV019176155 |
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| 520 | |a Running-in wear is very important from the operational view point of a mechanical component in tribological and other machining operations such as polishing and finishing. Two important parameters undergo severe changes during the running-in viz wear rate and surface roughness. Numerous wear models have been proposed to estimate the wear volume and wear rate as a function of running-in time. This paper presents a model to relate the wear rate with the change of surface roughness during running-in. The power law model developed was validated by experiments performed on EN-31 steel. In order to evaluate the competence of the proposed model statistical parameters-mean absolute percentage error (MAPE) and coefficient of determination (R2) were used. It was concluded that the model is adequate and wear rate strongly depends on the surface roughness. | ||
| 520 | |a Running-in wear is very important from the operational view point of a mechanical component in tribological and other machining operations such as polishing and finishing. Two important parameters undergo severe changes during the running-in viz wear rate and surface roughness. Numerous wear models have been proposed to estimate the wear volume and wear rate as a function of running-in time. This paper presents a model to relate the wear rate with the change of surface roughness during running-in. The power law model developed was validated by experiments performed on EN-31 steel. In order to evaluate the competence of the proposed model statistical parameters-mean absolute percentage error (MAPE) and coefficient of determination (R2) were used. It was concluded that the model is adequate and wear rate strongly depends on the surface roughness. | ||
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10.1016/j.matlet.2016.04.087 doi GBVA2016006000030.pica (DE-627)ELV019176155 (ELSEVIER)S0167-577X(16)30564-X DE-627 ger DE-627 rakwb eng 530 600 670 530 DE-600 600 DE-600 670 DE-600 630 580 VZ BIODIV DE-30 fid 48.00 bkl Hanief, M. verfasserin aut Effect of surface roughness on wear rate during running-in of En31-steel: Model and experimental validation 2016transfer abstract 3 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Running-in wear is very important from the operational view point of a mechanical component in tribological and other machining operations such as polishing and finishing. Two important parameters undergo severe changes during the running-in viz wear rate and surface roughness. Numerous wear models have been proposed to estimate the wear volume and wear rate as a function of running-in time. This paper presents a model to relate the wear rate with the change of surface roughness during running-in. The power law model developed was validated by experiments performed on EN-31 steel. In order to evaluate the competence of the proposed model statistical parameters-mean absolute percentage error (MAPE) and coefficient of determination (R2) were used. It was concluded that the model is adequate and wear rate strongly depends on the surface roughness. Running-in wear is very important from the operational view point of a mechanical component in tribological and other machining operations such as polishing and finishing. Two important parameters undergo severe changes during the running-in viz wear rate and surface roughness. Numerous wear models have been proposed to estimate the wear volume and wear rate as a function of running-in time. This paper presents a model to relate the wear rate with the change of surface roughness during running-in. The power law model developed was validated by experiments performed on EN-31 steel. In order to evaluate the competence of the proposed model statistical parameters-mean absolute percentage error (MAPE) and coefficient of determination (R2) were used. It was concluded that the model is adequate and wear rate strongly depends on the surface roughness. Running in Elsevier En31 steel Elsevier Wear and tribology Elsevier Surface roughness Elsevier Simulation and modeling Elsevier Wani, M.F. oth Enthalten in Elsevier Follett, Peter A. ELSEVIER New associations and host status: Infestability of kiwifruit by the fruit fly species 2018 an interdisciplinary journal affiliated with the Materials Research Society and the Materials Society Japan, devoted to the rapid publication of short communications on the science, applications and processing of materials New York, NY [u.a.] (DE-627)ELV000885371 volume:176 year:2016 day:1 month:08 pages:91-93 extent:3 https://doi.org/10.1016/j.matlet.2016.04.087 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA SSG-OPC-FOR 48.00 Land- und Forstwirtschaft: Allgemeines VZ AR 176 2016 1 0801 91-93 3 045F 530 |
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10.1016/j.matlet.2016.04.087 doi GBVA2016006000030.pica (DE-627)ELV019176155 (ELSEVIER)S0167-577X(16)30564-X DE-627 ger DE-627 rakwb eng 530 600 670 530 DE-600 600 DE-600 670 DE-600 630 580 VZ BIODIV DE-30 fid 48.00 bkl Hanief, M. verfasserin aut Effect of surface roughness on wear rate during running-in of En31-steel: Model and experimental validation 2016transfer abstract 3 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Running-in wear is very important from the operational view point of a mechanical component in tribological and other machining operations such as polishing and finishing. Two important parameters undergo severe changes during the running-in viz wear rate and surface roughness. Numerous wear models have been proposed to estimate the wear volume and wear rate as a function of running-in time. This paper presents a model to relate the wear rate with the change of surface roughness during running-in. The power law model developed was validated by experiments performed on EN-31 steel. In order to evaluate the competence of the proposed model statistical parameters-mean absolute percentage error (MAPE) and coefficient of determination (R2) were used. It was concluded that the model is adequate and wear rate strongly depends on the surface roughness. Running-in wear is very important from the operational view point of a mechanical component in tribological and other machining operations such as polishing and finishing. Two important parameters undergo severe changes during the running-in viz wear rate and surface roughness. Numerous wear models have been proposed to estimate the wear volume and wear rate as a function of running-in time. This paper presents a model to relate the wear rate with the change of surface roughness during running-in. The power law model developed was validated by experiments performed on EN-31 steel. In order to evaluate the competence of the proposed model statistical parameters-mean absolute percentage error (MAPE) and coefficient of determination (R2) were used. It was concluded that the model is adequate and wear rate strongly depends on the surface roughness. Running in Elsevier En31 steel Elsevier Wear and tribology Elsevier Surface roughness Elsevier Simulation and modeling Elsevier Wani, M.F. oth Enthalten in Elsevier Follett, Peter A. ELSEVIER New associations and host status: Infestability of kiwifruit by the fruit fly species 2018 an interdisciplinary journal affiliated with the Materials Research Society and the Materials Society Japan, devoted to the rapid publication of short communications on the science, applications and processing of materials New York, NY [u.a.] (DE-627)ELV000885371 volume:176 year:2016 day:1 month:08 pages:91-93 extent:3 https://doi.org/10.1016/j.matlet.2016.04.087 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA SSG-OPC-FOR 48.00 Land- und Forstwirtschaft: Allgemeines VZ AR 176 2016 1 0801 91-93 3 045F 530 |
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10.1016/j.matlet.2016.04.087 doi GBVA2016006000030.pica (DE-627)ELV019176155 (ELSEVIER)S0167-577X(16)30564-X DE-627 ger DE-627 rakwb eng 530 600 670 530 DE-600 600 DE-600 670 DE-600 630 580 VZ BIODIV DE-30 fid 48.00 bkl Hanief, M. verfasserin aut Effect of surface roughness on wear rate during running-in of En31-steel: Model and experimental validation 2016transfer abstract 3 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Running-in wear is very important from the operational view point of a mechanical component in tribological and other machining operations such as polishing and finishing. Two important parameters undergo severe changes during the running-in viz wear rate and surface roughness. Numerous wear models have been proposed to estimate the wear volume and wear rate as a function of running-in time. This paper presents a model to relate the wear rate with the change of surface roughness during running-in. The power law model developed was validated by experiments performed on EN-31 steel. In order to evaluate the competence of the proposed model statistical parameters-mean absolute percentage error (MAPE) and coefficient of determination (R2) were used. It was concluded that the model is adequate and wear rate strongly depends on the surface roughness. Running-in wear is very important from the operational view point of a mechanical component in tribological and other machining operations such as polishing and finishing. Two important parameters undergo severe changes during the running-in viz wear rate and surface roughness. Numerous wear models have been proposed to estimate the wear volume and wear rate as a function of running-in time. This paper presents a model to relate the wear rate with the change of surface roughness during running-in. The power law model developed was validated by experiments performed on EN-31 steel. In order to evaluate the competence of the proposed model statistical parameters-mean absolute percentage error (MAPE) and coefficient of determination (R2) were used. It was concluded that the model is adequate and wear rate strongly depends on the surface roughness. Running in Elsevier En31 steel Elsevier Wear and tribology Elsevier Surface roughness Elsevier Simulation and modeling Elsevier Wani, M.F. oth Enthalten in Elsevier Follett, Peter A. ELSEVIER New associations and host status: Infestability of kiwifruit by the fruit fly species 2018 an interdisciplinary journal affiliated with the Materials Research Society and the Materials Society Japan, devoted to the rapid publication of short communications on the science, applications and processing of materials New York, NY [u.a.] (DE-627)ELV000885371 volume:176 year:2016 day:1 month:08 pages:91-93 extent:3 https://doi.org/10.1016/j.matlet.2016.04.087 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA SSG-OPC-FOR 48.00 Land- und Forstwirtschaft: Allgemeines VZ AR 176 2016 1 0801 91-93 3 045F 530 |
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10.1016/j.matlet.2016.04.087 doi GBVA2016006000030.pica (DE-627)ELV019176155 (ELSEVIER)S0167-577X(16)30564-X DE-627 ger DE-627 rakwb eng 530 600 670 530 DE-600 600 DE-600 670 DE-600 630 580 VZ BIODIV DE-30 fid 48.00 bkl Hanief, M. verfasserin aut Effect of surface roughness on wear rate during running-in of En31-steel: Model and experimental validation 2016transfer abstract 3 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Running-in wear is very important from the operational view point of a mechanical component in tribological and other machining operations such as polishing and finishing. Two important parameters undergo severe changes during the running-in viz wear rate and surface roughness. Numerous wear models have been proposed to estimate the wear volume and wear rate as a function of running-in time. This paper presents a model to relate the wear rate with the change of surface roughness during running-in. The power law model developed was validated by experiments performed on EN-31 steel. In order to evaluate the competence of the proposed model statistical parameters-mean absolute percentage error (MAPE) and coefficient of determination (R2) were used. It was concluded that the model is adequate and wear rate strongly depends on the surface roughness. Running-in wear is very important from the operational view point of a mechanical component in tribological and other machining operations such as polishing and finishing. Two important parameters undergo severe changes during the running-in viz wear rate and surface roughness. Numerous wear models have been proposed to estimate the wear volume and wear rate as a function of running-in time. This paper presents a model to relate the wear rate with the change of surface roughness during running-in. The power law model developed was validated by experiments performed on EN-31 steel. In order to evaluate the competence of the proposed model statistical parameters-mean absolute percentage error (MAPE) and coefficient of determination (R2) were used. It was concluded that the model is adequate and wear rate strongly depends on the surface roughness. Running in Elsevier En31 steel Elsevier Wear and tribology Elsevier Surface roughness Elsevier Simulation and modeling Elsevier Wani, M.F. oth Enthalten in Elsevier Follett, Peter A. ELSEVIER New associations and host status: Infestability of kiwifruit by the fruit fly species 2018 an interdisciplinary journal affiliated with the Materials Research Society and the Materials Society Japan, devoted to the rapid publication of short communications on the science, applications and processing of materials New York, NY [u.a.] (DE-627)ELV000885371 volume:176 year:2016 day:1 month:08 pages:91-93 extent:3 https://doi.org/10.1016/j.matlet.2016.04.087 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA SSG-OPC-FOR 48.00 Land- und Forstwirtschaft: Allgemeines VZ AR 176 2016 1 0801 91-93 3 045F 530 |
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10.1016/j.matlet.2016.04.087 doi GBVA2016006000030.pica (DE-627)ELV019176155 (ELSEVIER)S0167-577X(16)30564-X DE-627 ger DE-627 rakwb eng 530 600 670 530 DE-600 600 DE-600 670 DE-600 630 580 VZ BIODIV DE-30 fid 48.00 bkl Hanief, M. verfasserin aut Effect of surface roughness on wear rate during running-in of En31-steel: Model and experimental validation 2016transfer abstract 3 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Running-in wear is very important from the operational view point of a mechanical component in tribological and other machining operations such as polishing and finishing. Two important parameters undergo severe changes during the running-in viz wear rate and surface roughness. Numerous wear models have been proposed to estimate the wear volume and wear rate as a function of running-in time. This paper presents a model to relate the wear rate with the change of surface roughness during running-in. The power law model developed was validated by experiments performed on EN-31 steel. In order to evaluate the competence of the proposed model statistical parameters-mean absolute percentage error (MAPE) and coefficient of determination (R2) were used. It was concluded that the model is adequate and wear rate strongly depends on the surface roughness. Running-in wear is very important from the operational view point of a mechanical component in tribological and other machining operations such as polishing and finishing. Two important parameters undergo severe changes during the running-in viz wear rate and surface roughness. Numerous wear models have been proposed to estimate the wear volume and wear rate as a function of running-in time. This paper presents a model to relate the wear rate with the change of surface roughness during running-in. The power law model developed was validated by experiments performed on EN-31 steel. In order to evaluate the competence of the proposed model statistical parameters-mean absolute percentage error (MAPE) and coefficient of determination (R2) were used. It was concluded that the model is adequate and wear rate strongly depends on the surface roughness. Running in Elsevier En31 steel Elsevier Wear and tribology Elsevier Surface roughness Elsevier Simulation and modeling Elsevier Wani, M.F. oth Enthalten in Elsevier Follett, Peter A. ELSEVIER New associations and host status: Infestability of kiwifruit by the fruit fly species 2018 an interdisciplinary journal affiliated with the Materials Research Society and the Materials Society Japan, devoted to the rapid publication of short communications on the science, applications and processing of materials New York, NY [u.a.] (DE-627)ELV000885371 volume:176 year:2016 day:1 month:08 pages:91-93 extent:3 https://doi.org/10.1016/j.matlet.2016.04.087 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA SSG-OPC-FOR 48.00 Land- und Forstwirtschaft: Allgemeines VZ AR 176 2016 1 0801 91-93 3 045F 530 |
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effect of surface roughness on wear rate during running-in of en31-steel: model and experimental validation |
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Effect of surface roughness on wear rate during running-in of En31-steel: Model and experimental validation |
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Running-in wear is very important from the operational view point of a mechanical component in tribological and other machining operations such as polishing and finishing. Two important parameters undergo severe changes during the running-in viz wear rate and surface roughness. Numerous wear models have been proposed to estimate the wear volume and wear rate as a function of running-in time. This paper presents a model to relate the wear rate with the change of surface roughness during running-in. The power law model developed was validated by experiments performed on EN-31 steel. In order to evaluate the competence of the proposed model statistical parameters-mean absolute percentage error (MAPE) and coefficient of determination (R2) were used. It was concluded that the model is adequate and wear rate strongly depends on the surface roughness. |
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Running-in wear is very important from the operational view point of a mechanical component in tribological and other machining operations such as polishing and finishing. Two important parameters undergo severe changes during the running-in viz wear rate and surface roughness. Numerous wear models have been proposed to estimate the wear volume and wear rate as a function of running-in time. This paper presents a model to relate the wear rate with the change of surface roughness during running-in. The power law model developed was validated by experiments performed on EN-31 steel. In order to evaluate the competence of the proposed model statistical parameters-mean absolute percentage error (MAPE) and coefficient of determination (R2) were used. It was concluded that the model is adequate and wear rate strongly depends on the surface roughness. |
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Running-in wear is very important from the operational view point of a mechanical component in tribological and other machining operations such as polishing and finishing. Two important parameters undergo severe changes during the running-in viz wear rate and surface roughness. Numerous wear models have been proposed to estimate the wear volume and wear rate as a function of running-in time. This paper presents a model to relate the wear rate with the change of surface roughness during running-in. The power law model developed was validated by experiments performed on EN-31 steel. In order to evaluate the competence of the proposed model statistical parameters-mean absolute percentage error (MAPE) and coefficient of determination (R2) were used. It was concluded that the model is adequate and wear rate strongly depends on the surface roughness. |
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