Exploring the tribological performance of AA2024 with silicon dioxide metal matrix composites: RSM analysis.
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| Title: | Exploring the tribological performance of AA2024 with silicon dioxide metal matrix composites: RSM analysis. |
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| Authors: | Reddy, R. Meenakshi1 (AUTHOR), Sharma, Aman2 (AUTHOR), Mohanavel, V.3,4,5 (AUTHOR), Kannan, Sathish6 (AUTHOR), Hossain, Ismail7 (AUTHOR), Kumar, S. Suresh8 (AUTHOR) skumarsrini.phd@gmail.com, Soudagar, Manzoore Elahi Mohammad9,10,11 (AUTHOR), Fouly, Ahmed12 (AUTHOR), Seikh, A. H.12 (AUTHOR) |
| Source: | Journal of Mechanical Science & Technology. Jun2025, Vol. 39 Issue 6, p3123-3130. 8p. |
| Subjects: | Metallic composites, Response surfaces (Statistics), Mechanical wear, Sliding wear, Aluminum alloys |
| Abstract: | This study used compo casting techniques to reinforce AA2024 with nano silicon di oxide (n-SiO2) reinforcement for synthesization. The impacts of several factors on the tribology of the AA2024/n-SiO2 composites were studied, including the quantity of reinforcements used, load and sliding speed. Using the pin on disc (POD), three distinct reinforcement weight percentages (0, 3, and 6 wt.%), loads (20, 40, and 60 N) and speeds (175, 215, and 275 rpm) at dry sliding wear tests were conducted in accordance with experimental design. Further utilized Response surface methodology (RSM) to examine how process factors affected the composites tribological behavior. As the reinforcement (A), load (B), and sliding speed (C) increased, the wear rate (WR) also improved, as seen by the surface plot. The friction coefficient (COF) on the other hand, fell as these values were increased. Reducing the time and cost of wear testing, optimal models for COF and WR demonstrated adequate findings. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Mechanical Science & Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 185842523 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Exploring the tribological performance of AA2024 with silicon dioxide metal matrix composites: RSM analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Reddy%2C+R%2E+Meenakshi%22">Reddy, R. Meenakshi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sharma%2C+Aman%22">Sharma, Aman</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mohanavel%2C+V%2E%22">Mohanavel, V.</searchLink><relatesTo>3,4,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kannan%2C+Sathish%22">Kannan, Sathish</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hossain%2C+Ismail%22">Hossain, Ismail</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kumar%2C+S%2E+Suresh%22">Kumar, S. Suresh</searchLink><relatesTo>8</relatesTo> (AUTHOR)<i> skumarsrini.phd@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Soudagar%2C+Manzoore+Elahi+Mohammad%22">Soudagar, Manzoore Elahi Mohammad</searchLink><relatesTo>9,10,11</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fouly%2C+Ahmed%22">Fouly, Ahmed</searchLink><relatesTo>12</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Seikh%2C+A%2E+H%2E%22">Seikh, A. H.</searchLink><relatesTo>12</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Mechanical+Science+%26+Technology%22">Journal of Mechanical Science & Technology</searchLink>. Jun2025, Vol. 39 Issue 6, p3123-3130. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Metallic+composites%22">Metallic composites</searchLink><br /><searchLink fieldCode="DE" term="%22Response+surfaces+%28Statistics%29%22">Response surfaces (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Mechanical+wear%22">Mechanical wear</searchLink><br /><searchLink fieldCode="DE" term="%22Sliding+wear%22">Sliding wear</searchLink><br /><searchLink fieldCode="DE" term="%22Aluminum+alloys%22">Aluminum alloys</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This study used compo casting techniques to reinforce AA2024 with nano silicon di oxide (n-SiO2) reinforcement for synthesization. The impacts of several factors on the tribology of the AA2024/n-SiO2 composites were studied, including the quantity of reinforcements used, load and sliding speed. Using the pin on disc (POD), three distinct reinforcement weight percentages (0, 3, and 6 wt.%), loads (20, 40, and 60 N) and speeds (175, 215, and 275 rpm) at dry sliding wear tests were conducted in accordance with experimental design. Further utilized Response surface methodology (RSM) to examine how process factors affected the composites tribological behavior. As the reinforcement (A), load (B), and sliding speed (C) increased, the wear rate (WR) also improved, as seen by the surface plot. The friction coefficient (COF) on the other hand, fell as these values were increased. Reducing the time and cost of wear testing, optimal models for COF and WR demonstrated adequate findings. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Mechanical Science & Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s12206-025-0511-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 3123 Subjects: – SubjectFull: Metallic composites Type: general – SubjectFull: Response surfaces (Statistics) Type: general – SubjectFull: Mechanical wear Type: general – SubjectFull: Sliding wear Type: general – SubjectFull: Aluminum alloys Type: general Titles: – TitleFull: Exploring the tribological performance of AA2024 with silicon dioxide metal matrix composites: RSM analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Reddy, R. Meenakshi – PersonEntity: Name: NameFull: Sharma, Aman – PersonEntity: Name: NameFull: Mohanavel, V. – PersonEntity: Name: NameFull: Kannan, Sathish – PersonEntity: Name: NameFull: Hossain, Ismail – PersonEntity: Name: NameFull: Kumar, S. Suresh – PersonEntity: Name: NameFull: Soudagar, Manzoore Elahi Mohammad – PersonEntity: Name: NameFull: Fouly, Ahmed – PersonEntity: Name: NameFull: Seikh, A. H. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 1738494X Numbering: – Type: volume Value: 39 – Type: issue Value: 6 Titles: – TitleFull: Journal of Mechanical Science & Technology Type: main |
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