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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Main Authors: Tomadi, Siti Haryani, A. Ghani, Jaharah, Che Haron, Che Hassan, Hassan, Mas Ayu, Daud, Rosdi
Format: Article
Language:English
Published: Elsevier Ltd 2017
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Online Access:http://irep.iium.edu.my/73640/
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http://irep.iium.edu.my/73640/1/73640_Effect%20of%20Cutting%20Parameters%20on%20Surface%20Roughness_article.pdf
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spelling 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
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TS200 Metal manufactures. Metalworking
spellingShingle 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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