Wear Particle Classification Using Ferrographic Analysis in Gearbox System Considering Area and Perimeter
Wear particles are generated in the mechanical system due to different modes, such as abrasion, adhesion, erosion, oxidation, corrosion, and severe sliding. Wear particle analysis is a non-intrusive tool to monitor the condition of lubricated components. The study of wear particles gives information...
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| Veröffentlicht in: | Journal of failure analysis and prevention 2023-10, Vol.23 (5), p.1967-1978 |
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| container_end_page | 1978 |
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| container_issue | 5 |
| container_start_page | 1967 |
| container_title | Journal of failure analysis and prevention |
| container_volume | 23 |
| creator | More, Puja P. Jaybhaye, M. D. |
| description | Wear particles are generated in the mechanical system due to different modes, such as abrasion, adhesion, erosion, oxidation, corrosion, and severe sliding. Wear particle analysis is a non-intrusive tool to monitor the condition of lubricated components. The study of wear particles gives information related to the size of particle, concentration and quantity, material composition and size distribution, from which operating wear mode can be predicted to observe the state of a component. This paper has discussed the case study for wear particle classification using different parameters. Experimentation has been carried out to observe the nature of wear and wear particle classification by operating gearbox for 500hrs. Lubrication is essential for correct functioning of gearbox therefore, ferrographic analysis is carried to measure the concentration of wear particle through lubricating oil. Olympus Stream Basic Software is used to analyze ferrogram slides to measure different parameters area, perimeter, aspect ratio, shape factor, mean radius, and mean color intensity values of wear particles. Area and perimeter of normal rubbing wear is used to classify them into small-, medium-, and large-sized particles. |
| doi_str_mv | 10.1007/s11668-023-01734-4 |
| format | Article |
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D.</creator><creatorcontrib>More, Puja P. ; Jaybhaye, M. D.</creatorcontrib><description>Wear particles are generated in the mechanical system due to different modes, such as abrasion, adhesion, erosion, oxidation, corrosion, and severe sliding. Wear particle analysis is a non-intrusive tool to monitor the condition of lubricated components. The study of wear particles gives information related to the size of particle, concentration and quantity, material composition and size distribution, from which operating wear mode can be predicted to observe the state of a component. This paper has discussed the case study for wear particle classification using different parameters. Experimentation has been carried out to observe the nature of wear and wear particle classification by operating gearbox for 500hrs. Lubrication is essential for correct functioning of gearbox therefore, ferrographic analysis is carried to measure the concentration of wear particle through lubricating oil. Olympus Stream Basic Software is used to analyze ferrogram slides to measure different parameters area, perimeter, aspect ratio, shape factor, mean radius, and mean color intensity values of wear particles. 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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c270t-dcf2d463db5d1dc28ec6f74263ac35371716355b9124ee3a46d0e9a5208d3a3</cites><orcidid>0000-0002-7369-5208</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>More, Puja P.</creatorcontrib><creatorcontrib>Jaybhaye, M. D.</creatorcontrib><title>Wear Particle Classification Using Ferrographic Analysis in Gearbox System Considering Area and Perimeter</title><title>Journal of failure analysis and prevention</title><addtitle>J Fail. Anal. and Preven</addtitle><description>Wear particles are generated in the mechanical system due to different modes, such as abrasion, adhesion, erosion, oxidation, corrosion, and severe sliding. Wear particle analysis is a non-intrusive tool to monitor the condition of lubricated components. The study of wear particles gives information related to the size of particle, concentration and quantity, material composition and size distribution, from which operating wear mode can be predicted to observe the state of a component. This paper has discussed the case study for wear particle classification using different parameters. Experimentation has been carried out to observe the nature of wear and wear particle classification by operating gearbox for 500hrs. Lubrication is essential for correct functioning of gearbox therefore, ferrographic analysis is carried to measure the concentration of wear particle through lubricating oil. Olympus Stream Basic Software is used to analyze ferrogram slides to measure different parameters area, perimeter, aspect ratio, shape factor, mean radius, and mean color intensity values of wear particles. Area and perimeter of normal rubbing wear is used to classify them into small-, medium-, and large-sized particles.</description><subject>Abrasion</subject><subject>Aspect ratio</subject><subject>Characterization and Evaluation of Materials</subject><subject>Chemistry and Materials Science</subject><subject>Classical Mechanics</subject><subject>Classification</subject><subject>Corrosion and Coatings</subject><subject>Corrosive wear</subject><subject>Ferrography</subject><subject>Gearboxes</subject><subject>Lubricating oils</subject><subject>Materials Science</subject><subject>Mechanical systems</subject><subject>Original Research Article</subject><subject>Oxidation</subject><subject>Parameters</subject><subject>Quality Control</subject><subject>Reliability</subject><subject>Rubbing</subject><subject>Safety and Risk</subject><subject>Shape factor</subject><subject>Solid Mechanics</subject><subject>Tribology</subject><subject>Wear particles</subject><issn>1547-7029</issn><issn>1728-5674</issn><issn>1864-1245</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kE9LAzEQxYMoWKtfwFPA82r-Z3ssxVahYKGKx5Am2Zqy3V0zW7Df3tQVvMkcZgbeb3jzELql5J4Soh-AUqXKgjBeEKq5KMQZGlHNykIqLc7zLIUuNGGTS3QFsCOESyrYCMX3YBNe2dRHVwc8qy1ArKKzfWwb_Aax2eJ5SKndJtt9RIenja2PEAHHBi8yu2m_8PoIfdjjWdtA9CGdmGkKFtvG41Xe96EP6RpdVLaGcPPbx2g9f3ydPRXLl8XzbLosHNOkL7yrmBeK-4301DtWBqcqLZji1nHJNdVUcSk3E8pECNwK5UmYWMlI6bnlY3Q3XO1S-3kI0Jtde0jZMxhW6lyCkDKr2KByqQVIoTJddmnT0VBiToGaIVCTAzU_gRqRIT5A0J1eDOnv9D_UN6kmeXo</recordid><startdate>20231001</startdate><enddate>20231001</enddate><creator>More, Puja P.</creator><creator>Jaybhaye, M. D.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>8BQ</scope><scope>8FD</scope><scope>FR3</scope><scope>JG9</scope><scope>KR7</scope><orcidid>https://orcid.org/0000-0002-7369-5208</orcidid></search><sort><creationdate>20231001</creationdate><title>Wear Particle Classification Using Ferrographic Analysis in Gearbox System Considering Area and Perimeter</title><author>More, Puja P. ; Jaybhaye, M. D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c270t-dcf2d463db5d1dc28ec6f74263ac35371716355b9124ee3a46d0e9a5208d3a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Abrasion</topic><topic>Aspect ratio</topic><topic>Characterization and Evaluation of Materials</topic><topic>Chemistry and Materials Science</topic><topic>Classical Mechanics</topic><topic>Classification</topic><topic>Corrosion and Coatings</topic><topic>Corrosive wear</topic><topic>Ferrography</topic><topic>Gearboxes</topic><topic>Lubricating oils</topic><topic>Materials Science</topic><topic>Mechanical systems</topic><topic>Original Research Article</topic><topic>Oxidation</topic><topic>Parameters</topic><topic>Quality Control</topic><topic>Reliability</topic><topic>Rubbing</topic><topic>Safety and Risk</topic><topic>Shape factor</topic><topic>Solid Mechanics</topic><topic>Tribology</topic><topic>Wear particles</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>More, Puja P.</creatorcontrib><creatorcontrib>Jaybhaye, M. D.</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Journal of failure analysis and prevention</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>More, Puja P.</au><au>Jaybhaye, M. D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Wear Particle Classification Using Ferrographic Analysis in Gearbox System Considering Area and Perimeter</atitle><jtitle>Journal of failure analysis and prevention</jtitle><stitle>J Fail. Anal. and Preven</stitle><date>2023-10-01</date><risdate>2023</risdate><volume>23</volume><issue>5</issue><spage>1967</spage><epage>1978</epage><pages>1967-1978</pages><issn>1547-7029</issn><eissn>1728-5674</eissn><eissn>1864-1245</eissn><abstract>Wear particles are generated in the mechanical system due to different modes, such as abrasion, adhesion, erosion, oxidation, corrosion, and severe sliding. Wear particle analysis is a non-intrusive tool to monitor the condition of lubricated components. The study of wear particles gives information related to the size of particle, concentration and quantity, material composition and size distribution, from which operating wear mode can be predicted to observe the state of a component. This paper has discussed the case study for wear particle classification using different parameters. Experimentation has been carried out to observe the nature of wear and wear particle classification by operating gearbox for 500hrs. Lubrication is essential for correct functioning of gearbox therefore, ferrographic analysis is carried to measure the concentration of wear particle through lubricating oil. Olympus Stream Basic Software is used to analyze ferrogram slides to measure different parameters area, perimeter, aspect ratio, shape factor, mean radius, and mean color intensity values of wear particles. Area and perimeter of normal rubbing wear is used to classify them into small-, medium-, and large-sized particles.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11668-023-01734-4</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-7369-5208</orcidid></addata></record> |
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| ispartof | Journal of failure analysis and prevention, 2023-10, Vol.23 (5), p.1967-1978 |
| issn | 1547-7029 1728-5674 1864-1245 |
| language | eng |
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| source | Springer Nature - Complete Springer Journals |
| subjects | Abrasion Aspect ratio Characterization and Evaluation of Materials Chemistry and Materials Science Classical Mechanics Classification Corrosion and Coatings Corrosive wear Ferrography Gearboxes Lubricating oils Materials Science Mechanical systems Original Research Article Oxidation Parameters Quality Control Reliability Rubbing Safety and Risk Shape factor Solid Mechanics Tribology Wear particles |
| title | Wear Particle Classification Using Ferrographic Analysis in Gearbox System Considering Area and Perimeter |
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