Effect of Cutting Parameters on Surface Roughness in End Milling of AlSi/AlN Metal Matrix Composite
This paper presents the effects of cutting parameters and the corresponding prediction model on the surface roughness in the machining of AlSi/AlN metal matrix composite (MMC). This new composite material was fabricated by reinforcing smaller sizes of AlN particles at volume fractions of 10%, 15% an...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier Ltd
2017
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| Online Access: | http://umpir.ump.edu.my/id/eprint/17711/1/fkm-2017-haryani-Effect%20of%20Cutting%20Parameters%20on%20Surface.pdf |
| _version_ | 1796992137014804480 |
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| author | Siti Haryani, Tomadi J. A., Ghani C. H., Che Haron Mas Ayu, Hassan Rosdi, Daud |
| author_facet | Siti Haryani, Tomadi J. A., Ghani C. H., Che Haron Mas Ayu, Hassan Rosdi, Daud |
| author_sort | Siti Haryani, Tomadi |
| collection | UMP |
| description | This paper presents the effects of cutting parameters and the corresponding prediction model on the surface roughness in the machining of AlSi/AlN metal matrix composite (MMC). This new composite material was fabricated by reinforcing smaller sizes of AlN particles at volume fractions of 10%, 15% and 20% with AlSi alloy. The machining experiments involved of uncoated carbide tool and PVD TiAlN coated carbide and conducted at different cutting parameters of cutting speed (240–400m/min), feed rate (0.3–0.5mm/tooth) and depth of cut (0.3–0.5mm) under dry cutting conditions. Taguchi's L18 orthogonal arrays approach was performed to determine the optimum cutting parameters using a signal-to-noise (S/N) ratio according to the stipulation of the smaller-the-better. The test results revealed that the type of cutting tool is the most significant factor contributing to the surface roughness of the machined material. A mathematical model of surface roughness has been developed using regression analysis as a function of all parameters with an average error of 10% can be observed between the predicted and experimental values. Furthermore, the optimum cutting parameters was predicted; A1 (uncoated carbide), B2 (cutting speed: 320m/min), C2 (feed rate: 0.4mm/tooth), D2 (axial depth: 0.4mm) and E1 (10% reinforcement) and validation experiment showed the reliable results. |
| first_indexed | 2024-03-06T12:15:38Z |
| format | Article |
| id | UMPir17711 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:15:38Z |
| publishDate | 2017 |
| publisher | Elsevier Ltd |
| record_format | dspace |
| spelling | UMPir177112018-01-31T00:12:29Z http://umpir.ump.edu.my/id/eprint/17711/ Effect of Cutting Parameters on Surface Roughness in End Milling of AlSi/AlN Metal Matrix Composite Siti Haryani, Tomadi J. A., Ghani C. H., Che Haron Mas Ayu, Hassan Rosdi, Daud TJ Mechanical engineering and machinery This paper presents the effects of cutting parameters and the corresponding prediction model on the surface roughness in the machining of AlSi/AlN metal matrix composite (MMC). This new composite material was fabricated by reinforcing smaller sizes of AlN particles at volume fractions of 10%, 15% and 20% with AlSi alloy. The machining experiments involved of uncoated carbide tool and PVD TiAlN coated carbide and conducted at different cutting parameters of cutting speed (240–400m/min), feed rate (0.3–0.5mm/tooth) and depth of cut (0.3–0.5mm) under dry cutting conditions. Taguchi's L18 orthogonal arrays approach was performed to determine the optimum cutting parameters using a signal-to-noise (S/N) ratio according to the stipulation of the smaller-the-better. The test results revealed that the type of cutting tool is the most significant factor contributing to the surface roughness of the machined material. A mathematical model of surface roughness has been developed using regression analysis as a function of all parameters with an average error of 10% can be observed between the predicted and experimental values. Furthermore, the optimum cutting parameters was predicted; A1 (uncoated carbide), B2 (cutting speed: 320m/min), C2 (feed rate: 0.4mm/tooth), D2 (axial depth: 0.4mm) and E1 (10% reinforcement) and validation experiment showed the reliable results. Elsevier Ltd 2017 Article PeerReviewed application/pdf en cc_by_nc_nd http://umpir.ump.edu.my/id/eprint/17711/1/fkm-2017-haryani-Effect%20of%20Cutting%20Parameters%20on%20Surface.pdf Siti Haryani, Tomadi and J. A., Ghani and C. H., Che Haron and Mas Ayu, Hassan and Rosdi, Daud (2017) Effect of Cutting Parameters on Surface Roughness in End Milling of AlSi/AlN Metal Matrix Composite. Procedia Engineering, 184. pp. 58-69. ISSN 1877-7058. (Published) https://doi.org/10.1016/j.proeng.2017.04.071 doi: 10.1016/j.proeng.2017.04.071 |
| spellingShingle | TJ Mechanical engineering and machinery Siti Haryani, Tomadi J. A., Ghani C. H., Che Haron Mas Ayu, Hassan Rosdi, Daud Effect of Cutting Parameters on Surface Roughness in End Milling of AlSi/AlN Metal Matrix Composite |
| title | Effect of Cutting Parameters on Surface Roughness in End Milling of AlSi/AlN Metal Matrix Composite |
| title_full | Effect of Cutting Parameters on Surface Roughness in End Milling of AlSi/AlN Metal Matrix Composite |
| title_fullStr | Effect of Cutting Parameters on Surface Roughness in End Milling of AlSi/AlN Metal Matrix Composite |
| title_full_unstemmed | Effect of Cutting Parameters on Surface Roughness in End Milling of AlSi/AlN Metal Matrix Composite |
| title_short | Effect of Cutting Parameters on Surface Roughness in End Milling of AlSi/AlN Metal Matrix Composite |
| title_sort | effect of cutting parameters on surface roughness in end milling of alsi aln metal matrix composite |
| topic | TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/17711/1/fkm-2017-haryani-Effect%20of%20Cutting%20Parameters%20on%20Surface.pdf |
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