Ultrasonic-assisted drilling of laminated aluminum 2024 metal matrix composite reinforced with SiC nanoparticles: Experimental investigation and grey relational optimization
Aluminum metal matrix composites are widely used in various engineering areas due to their excellent mechanical properties. However, due to their heterogeneous structure, efficient machining of these materials is still a challenging task. Therefore, in the present study the drilling performance of a...
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| Format: | Article |
| Language: | English |
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University of Belgrade - Faculty of Mechanical Engineering, Belgrade
2021-01-01
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| Series: | FME Transactions |
| Subjects: | |
| Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2021/1451-20922102401P.pdf |
| _version_ | 1818741550390181888 |
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| author | Pashmforoush Farzad Farshbaf Zinati Reza Dadashzadeh Asghar |
| author_facet | Pashmforoush Farzad Farshbaf Zinati Reza Dadashzadeh Asghar |
| author_sort | Pashmforoush Farzad |
| collection | DOAJ |
| description | Aluminum metal matrix composites are widely used in various engineering areas due to their excellent mechanical properties. However, due to their heterogeneous structure, efficient machining of these materials is still a challenging task. Therefore, in the present study the drilling performance of aluminium-copper alloy (Al 2024) reinforced with SiC nanoparticles was experimentally investigated, in the presence of ultrasonic vibration.In this regard, the influence of ultrasonic vibration, SiC weight fraction and drilling parameters was assessed on circularity error and drilling thrust force. Also, the optimization of process parameters was investigated using grey relational analysis. The performed calculations revealed that ultrasonic vibration, SiC content of 2 %wt, feed rate of 20 mm/min and spindle speed of 1400 rpm is the optimal parameters setting in the present study. |
| first_indexed | 2024-12-18T01:58:24Z |
| format | Article |
| id | doaj.art-31fc0195899f4e42a7e91c45e4f8bc1e |
| institution | Directory Open Access Journal |
| issn | 1451-2092 2406-128X |
| language | English |
| last_indexed | 2024-12-18T01:58:24Z |
| publishDate | 2021-01-01 |
| publisher | University of Belgrade - Faculty of Mechanical Engineering, Belgrade |
| record_format | Article |
| series | FME Transactions |
| spelling | doaj.art-31fc0195899f4e42a7e91c45e4f8bc1e2022-12-21T21:24:50ZengUniversity of Belgrade - Faculty of Mechanical Engineering, BelgradeFME Transactions1451-20922406-128X2021-01-0149240141310.5937/fme2102401P1451-20922102401PUltrasonic-assisted drilling of laminated aluminum 2024 metal matrix composite reinforced with SiC nanoparticles: Experimental investigation and grey relational optimizationPashmforoush Farzad0Farshbaf Zinati Reza1Dadashzadeh Asghar2University of Maragheh, Faculty of Engineering, Department of Mechanical Engineering, Maragheh, IranAzad University, Branch of Tabriz, Department of Mechanical Engineering, Tabriz, IranAzad University, Branch of Tabriz, Department of Mechanical Engineering, Tabriz, IranAluminum metal matrix composites are widely used in various engineering areas due to their excellent mechanical properties. However, due to their heterogeneous structure, efficient machining of these materials is still a challenging task. Therefore, in the present study the drilling performance of aluminium-copper alloy (Al 2024) reinforced with SiC nanoparticles was experimentally investigated, in the presence of ultrasonic vibration.In this regard, the influence of ultrasonic vibration, SiC weight fraction and drilling parameters was assessed on circularity error and drilling thrust force. Also, the optimization of process parameters was investigated using grey relational analysis. The performed calculations revealed that ultrasonic vibration, SiC content of 2 %wt, feed rate of 20 mm/min and spindle speed of 1400 rpm is the optimal parameters setting in the present study.https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2021/1451-20922102401P.pdfaluminum metal matrix compositesultrasonic-assisted drillinggrey relational analysisthrust forcecircularity error |
| spellingShingle | Pashmforoush Farzad Farshbaf Zinati Reza Dadashzadeh Asghar Ultrasonic-assisted drilling of laminated aluminum 2024 metal matrix composite reinforced with SiC nanoparticles: Experimental investigation and grey relational optimization FME Transactions aluminum metal matrix composites ultrasonic-assisted drilling grey relational analysis thrust force circularity error |
| title | Ultrasonic-assisted drilling of laminated aluminum 2024 metal matrix composite reinforced with SiC nanoparticles: Experimental investigation and grey relational optimization |
| title_full | Ultrasonic-assisted drilling of laminated aluminum 2024 metal matrix composite reinforced with SiC nanoparticles: Experimental investigation and grey relational optimization |
| title_fullStr | Ultrasonic-assisted drilling of laminated aluminum 2024 metal matrix composite reinforced with SiC nanoparticles: Experimental investigation and grey relational optimization |
| title_full_unstemmed | Ultrasonic-assisted drilling of laminated aluminum 2024 metal matrix composite reinforced with SiC nanoparticles: Experimental investigation and grey relational optimization |
| title_short | Ultrasonic-assisted drilling of laminated aluminum 2024 metal matrix composite reinforced with SiC nanoparticles: Experimental investigation and grey relational optimization |
| title_sort | ultrasonic assisted drilling of laminated aluminum 2024 metal matrix composite reinforced with sic nanoparticles experimental investigation and grey relational optimization |
| topic | aluminum metal matrix composites ultrasonic-assisted drilling grey relational analysis thrust force circularity error |
| url | https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2021/1451-20922102401P.pdf |
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