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...
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iium-736402019-12-03T08:05:50Z http://irep.iium.edu.my/73640/ Effect of cutting parameters on surface roughness in end milling of AlSi/AlN metal matrix composite Tomadi, Siti Haryani A. Ghani, Jaharah Che Haron, Che Hassan Hassan, Mas Ayu Daud, Rosdi TS200 Metal manufactures. Metalworking 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 beendeveloped 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 http://irep.iium.edu.my/73640/1/73640_Effect%20of%20Cutting%20Parameters%20on%20Surface%20Roughness_article.pdf Tomadi, Siti Haryani and A. Ghani, Jaharah and Che Haron, Che Hassan and Hassan, Mas Ayu and Daud, Rosdi (2017) Effect of cutting parameters on surface roughness in end milling of AlSi/AlN metal matrix composite. Procedia Engineering, 184. pp. 58-69. ISSN 18777058 https://reader.elsevier.com/reader/sd/pii/S187770581731576X?token=D2AFD935EF58973467D06DFA3D03B52C127929F63ADC0CD0FFB148425E66AFDA110D4BF9DFD1433A7858DD1D129D7CF5 10.1016/j.proeng.2017.04.071 |
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TS200 Metal manufactures. Metalworking Tomadi, Siti Haryani A. Ghani, Jaharah Che Haron, Che Hassan Hassan, Mas Ayu Daud, Rosdi Effect of cutting parameters on surface roughness in end milling of AlSi/AlN metal matrix composite |
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 beendeveloped 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. |
format |
Article |
author |
Tomadi, Siti Haryani A. Ghani, Jaharah Che Haron, Che Hassan Hassan, Mas Ayu Daud, Rosdi |
author_facet |
Tomadi, Siti Haryani A. Ghani, Jaharah Che Haron, Che Hassan Hassan, Mas Ayu Daud, Rosdi |
author_sort |
Tomadi, Siti Haryani |
title |
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_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_sort |
effect of cutting parameters on surface roughness in end milling of alsi/aln metal matrix composite |
publisher |
Elsevier Ltd |
publishDate |
2017 |
url |
http://irep.iium.edu.my/73640/ http://irep.iium.edu.my/73640/ http://irep.iium.edu.my/73640/ http://irep.iium.edu.my/73640/1/73640_Effect%20of%20Cutting%20Parameters%20on%20Surface%20Roughness_article.pdf |
first_indexed |
2023-09-18T21:44:23Z |
last_indexed |
2023-09-18T21:44:23Z |
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1777413352427880448 |