Wear performance analysis of B4C and graphene particles reinforced Al–Cu alloy based composites using Taguchi method
In this study, the wear performance of boron carbide (B4C) and graphene (Gr) particles reinforced Al–Cu alloy composites was investigated. The composite samples were made using the solid-state manufacturing process. The wear performance was assessed using a pin-on-disc tribometer. The Taguchi optimi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2023-03-01
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| Series: | Journal of the Mechanical Behavior of Materials |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/jmbm-2022-0274 |
| _version_ | 1797848674954379264 |
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| author | Sachit T. S. Bongale Arunkumar Kumar Satish Jadhav Priya |
| author_facet | Sachit T. S. Bongale Arunkumar Kumar Satish Jadhav Priya |
| author_sort | Sachit T. S. |
| collection | DOAJ |
| description | In this study, the wear performance of boron carbide (B4C) and graphene (Gr) particles reinforced Al–Cu alloy composites was investigated. The composite samples were made using the solid-state manufacturing process. The wear performance was assessed using a pin-on-disc tribometer. The Taguchi optimization approach was used to determine the performance of each parameter. All experiments were carried out using the L27 array, which included three sets of parameters such as applied load, disc speed, and reinforcement percentage. The ANOVA approach was used to examine the impact of each parameter. According to the findings, the weight on the pin has the greatest influence on wear, followed by sliding speed and reinforcing percentage. The addition of B4C particles improves the wear resistance, and the Gr functions as a self-lubricating agent while in use. Scanning electron microscope analysis of worn-out samples revealed an abrasive type of wear process. |
| first_indexed | 2024-04-09T18:32:23Z |
| format | Article |
| id | doaj.art-dcda36f56a1849e782da50f58b47ee74 |
| institution | Directory Open Access Journal |
| issn | 2191-0243 |
| language | English |
| last_indexed | 2024-04-09T18:32:23Z |
| publishDate | 2023-03-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Journal of the Mechanical Behavior of Materials |
| spelling | doaj.art-dcda36f56a1849e782da50f58b47ee742023-04-11T17:07:17ZengDe GruyterJournal of the Mechanical Behavior of Materials2191-02432023-03-0132112557510.1515/jmbm-2022-0274Wear performance analysis of B4C and graphene particles reinforced Al–Cu alloy based composites using Taguchi methodSachit T. S.0Bongale Arunkumar1Kumar Satish2Jadhav Priya3Department of Robotics and Automation, Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed University), Lavale, Pune-412 115, Maharashtra State, IndiaDepartment of Robotics and Automation, Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed University), Lavale, Pune-412 115, Maharashtra State, IndiaDepartment of Robotics and Automation, Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed University), Lavale, Pune-412 115, Maharashtra State, IndiaDepartment of Robotics and Automation, Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed University), Lavale, Pune-412 115, Maharashtra State, IndiaIn this study, the wear performance of boron carbide (B4C) and graphene (Gr) particles reinforced Al–Cu alloy composites was investigated. The composite samples were made using the solid-state manufacturing process. The wear performance was assessed using a pin-on-disc tribometer. The Taguchi optimization approach was used to determine the performance of each parameter. All experiments were carried out using the L27 array, which included three sets of parameters such as applied load, disc speed, and reinforcement percentage. The ANOVA approach was used to examine the impact of each parameter. According to the findings, the weight on the pin has the greatest influence on wear, followed by sliding speed and reinforcing percentage. The addition of B4C particles improves the wear resistance, and the Gr functions as a self-lubricating agent while in use. Scanning electron microscope analysis of worn-out samples revealed an abrasive type of wear process.https://doi.org/10.1515/jmbm-2022-0274dry sliding wearmetal matrix compositeboron carbide particlesgraphene particlestaguchi method |
| spellingShingle | Sachit T. S. Bongale Arunkumar Kumar Satish Jadhav Priya Wear performance analysis of B4C and graphene particles reinforced Al–Cu alloy based composites using Taguchi method Journal of the Mechanical Behavior of Materials dry sliding wear metal matrix composite boron carbide particles graphene particles taguchi method |
| title | Wear performance analysis of B4C and graphene particles reinforced Al–Cu alloy based composites using Taguchi method |
| title_full | Wear performance analysis of B4C and graphene particles reinforced Al–Cu alloy based composites using Taguchi method |
| title_fullStr | Wear performance analysis of B4C and graphene particles reinforced Al–Cu alloy based composites using Taguchi method |
| title_full_unstemmed | Wear performance analysis of B4C and graphene particles reinforced Al–Cu alloy based composites using Taguchi method |
| title_short | Wear performance analysis of B4C and graphene particles reinforced Al–Cu alloy based composites using Taguchi method |
| title_sort | wear performance analysis of b4c and graphene particles reinforced al cu alloy based composites using taguchi method |
| topic | dry sliding wear metal matrix composite boron carbide particles graphene particles taguchi method |
| url | https://doi.org/10.1515/jmbm-2022-0274 |
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