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...

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Main Authors: Siti Haryani, Tomadi, J. A., Ghani, C. H., Che Haron, Mas Ayu, Hassan, Rosdi, Daud
Format: Article
Language:English
Published: Elsevier Ltd 2017
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/17711/
http://umpir.ump.edu.my/id/eprint/17711/
http://umpir.ump.edu.my/id/eprint/17711/
http://umpir.ump.edu.my/id/eprint/17711/1/fkm-2017-haryani-Effect%20of%20Cutting%20Parameters%20on%20Surface.pdf
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spelling ump-177112018-01-31T00:12:29Z 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 https://doi.org/10.1016/j.proeng.2017.04.071 doi: 10.1016/j.proeng.2017.04.071
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TJ Mechanical engineering and machinery
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
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.
format Article
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
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://umpir.ump.edu.my/id/eprint/17711/
http://umpir.ump.edu.my/id/eprint/17711/
http://umpir.ump.edu.my/id/eprint/17711/
http://umpir.ump.edu.my/id/eprint/17711/1/fkm-2017-haryani-Effect%20of%20Cutting%20Parameters%20on%20Surface.pdf
first_indexed 2023-09-18T22:24:37Z
last_indexed 2023-09-18T22:24:37Z
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