Optimization of tool life and surface roughness for hypereutectic Al – si alloys in face milling / Kamal Othman...[et al.]

machining processes for automotive components. This study intends to investigate the machining parameters affecting the machinability of hypereutectic Al-Si alloys in the context of surface roughness and tool life via a DLC coated face milling cutter inserted under dry cutting conditions. The ma...

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Main Authors: Othman, Kamal, Abdul Ghani, Jaharah, Juri, Afifah, Ruslan Mohd, Mohd Shahfizal, Kassim, Shahir, Che Haron, Che Hassan
Format: Article
Language:English
Published: Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM) 2020
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/36498/
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author Othman, Kamal
Abdul Ghani, Jaharah
Juri, Afifah
Ruslan Mohd, Mohd Shahfizal
Kassim, Shahir
Che Haron, Che Hassan
author_facet Othman, Kamal
Abdul Ghani, Jaharah
Juri, Afifah
Ruslan Mohd, Mohd Shahfizal
Kassim, Shahir
Che Haron, Che Hassan
author_sort Othman, Kamal
building UiTM Institutional Repository
collection Online Access
description machining processes for automotive components. This study intends to investigate the machining parameters affecting the machinability of hypereutectic Al-Si alloys in the context of surface roughness and tool life via a DLC coated face milling cutter inserted under dry cutting conditions. The machining parameters used in this study were cutting speeds of 250 m/min and 350 m/min, feed rates of 0.02 mm/tooth and 0.04 mm/tooth, and a constant depth of cut of 0.3 mm. The orthogonal full factorial (2³) method was used for the experimental trials. A commercial software called Minitab 17 was used to generate the analysis of variance (ANOVA) and the mathematical prediction model for each machining response. The experimental results confirmed that an excellent surface finish was achieved with a value of as low as 0.140 μm, while the highest value for tool life of 105.47 minute was realized with face milled aluminium alloy A390. From the analyses, it was confirmed that the feed rate is the most significant machining factor affecting surface roughness, while in the case of tool life; cutting speed is the most influential machining factor. The main effect plot showed that the optimum cutting condition for realizing low surface roughness and longer tool life is at 250 m/min, a feed rate of 0.02 mm/tooth, and radial depth of cut 12.5 mm. The prediction model for surface roughness and tool life was developed and reported low percentage errors.
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institution Universiti Teknologi MARA
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spelling uitm-364982020-11-10T08:33:09Z https://ir.uitm.edu.my/id/eprint/36498/ Optimization of tool life and surface roughness for hypereutectic Al – si alloys in face milling / Kamal Othman...[et al.] jmeche Othman, Kamal Abdul Ghani, Jaharah Juri, Afifah Ruslan Mohd, Mohd Shahfizal Kassim, Shahir Che Haron, Che Hassan TJ Mechanical engineering and machinery machining processes for automotive components. This study intends to investigate the machining parameters affecting the machinability of hypereutectic Al-Si alloys in the context of surface roughness and tool life via a DLC coated face milling cutter inserted under dry cutting conditions. The machining parameters used in this study were cutting speeds of 250 m/min and 350 m/min, feed rates of 0.02 mm/tooth and 0.04 mm/tooth, and a constant depth of cut of 0.3 mm. The orthogonal full factorial (2³) method was used for the experimental trials. A commercial software called Minitab 17 was used to generate the analysis of variance (ANOVA) and the mathematical prediction model for each machining response. The experimental results confirmed that an excellent surface finish was achieved with a value of as low as 0.140 μm, while the highest value for tool life of 105.47 minute was realized with face milled aluminium alloy A390. From the analyses, it was confirmed that the feed rate is the most significant machining factor affecting surface roughness, while in the case of tool life; cutting speed is the most influential machining factor. The main effect plot showed that the optimum cutting condition for realizing low surface roughness and longer tool life is at 250 m/min, a feed rate of 0.02 mm/tooth, and radial depth of cut 12.5 mm. The prediction model for surface roughness and tool life was developed and reported low percentage errors. Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM) 2020 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/36498/1/36498.pdf Othman, Kamal and Abdul Ghani, Jaharah and Juri, Afifah and Ruslan Mohd, Mohd Shahfizal and Kassim, Shahir and Che Haron, Che Hassan (2020) Optimization of tool life and surface roughness for hypereutectic Al – si alloys in face milling / Kamal Othman...[et al.]. (2020) Journal of Mechanical Engineering (JMechE) <https://ir.uitm.edu.my/view/publication/Journal_of_Mechanical_Engineering_=28JMechE=29.html>, 17 (2). pp. 27-44. ISSN 1823-5514 ; 2550-164X https://jmeche.uitm.edu.my/
spellingShingle TJ Mechanical engineering and machinery
Othman, Kamal
Abdul Ghani, Jaharah
Juri, Afifah
Ruslan Mohd, Mohd Shahfizal
Kassim, Shahir
Che Haron, Che Hassan
Optimization of tool life and surface roughness for hypereutectic Al – si alloys in face milling / Kamal Othman...[et al.]
title Optimization of tool life and surface roughness for hypereutectic Al – si alloys in face milling / Kamal Othman...[et al.]
title_full Optimization of tool life and surface roughness for hypereutectic Al – si alloys in face milling / Kamal Othman...[et al.]
title_fullStr Optimization of tool life and surface roughness for hypereutectic Al – si alloys in face milling / Kamal Othman...[et al.]
title_full_unstemmed Optimization of tool life and surface roughness for hypereutectic Al – si alloys in face milling / Kamal Othman...[et al.]
title_short Optimization of tool life and surface roughness for hypereutectic Al – si alloys in face milling / Kamal Othman...[et al.]
title_sort optimization of tool life and surface roughness for hypereutectic al – si alloys in face milling / kamal othman...[et al.]
topic TJ Mechanical engineering and machinery
url https://ir.uitm.edu.my/id/eprint/36498/
https://ir.uitm.edu.my/id/eprint/36498/