Optimization of Cutting Parameters of Multiple Performance Characteristics in End Milling of AlSi/AIN MMC - Taguchi Method and Grey Relational Analysis

Optimization of Cutting Parameters of Multiple Performance Characteristics in End Milling of AlSi/AIN MMC - Taguchi Method and Grey Relational Analysis

The main objective of this paper is to investigate and optimize the cutting parameters on multiple performance characteristics in end milling of Aluminium Silicon alloy reinforced with Aluminium Nitride (AlSi/AlN MMC) using Taguchi method and Grey relational analysis (GRA). The fabrication of AlSi/A...

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Main Authors: Siti Haryani, Tomadi, J. A., Ghani, C. H., Che Haron, M. S., Kasim, A. R., Daud
Format: Article
Language:English
Published: Penerbit Universiti Teknologi Malaysia 2014
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/6402/
http://umpir.ump.edu.my/id/eprint/6402/
http://umpir.ump.edu.my/id/eprint/6402/
http://umpir.ump.edu.my/id/eprint/6402/1/Optimization_of_Cutting_Parameters_of_Multiple_Performance_Characteristics_in_End_Milling_of_AlSi_AIN_MMC_%C3%A2%C2%80%C2%93_Taguchi_Method_and_Grey_Relational_Analysis.pdf
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recordtype eprints
spelling oai:umpir.ump.edu.my:64022017-05-17T05:32:39Z http://umpir.ump.edu.my/id/eprint/6402/ Optimization of Cutting Parameters of Multiple Performance Characteristics in End Milling of AlSi/AIN MMC - Taguchi Method and Grey Relational Analysis Siti Haryani, Tomadi J. A., Ghani C. H., Che Haron M. S., Kasim A. R., Daud TJ Mechanical engineering and machinery The main objective of this paper is to investigate and optimize the cutting parameters on multiple performance characteristics in end milling of Aluminium Silicon alloy reinforced with Aluminium Nitride (AlSi/AlN MMC) using Taguchi method and Grey relational analysis (GRA). The fabrication of AlSi/AlN MMC was made via stir casting with various volume fraction of particles reinforcement (10%, 15% and 20%). End milling machining was done under dry cutting condition by using two types of cutting tool (uncoated & PVD TiAlN coated carbide). Eighteen experiments (L18) orthogonal array with five factors (type of tool, cutting speed, feed rate, depth of cut, and volume fraction of particles reinforcement) were implemented. The analysis of optimization using GRA concludes that the better results for the combination of lower surface roughness, longer tool life, lower cutting force and higher material removal could be achieved when using uncoated carbide with cutting speed 240m/min, feed 0.4mm/tooth, depth of cut 0.3mm and 15% volume fraction of AlN particles reinforcement. The study confirmed that with a minimum number of experiments, Taguchi method is capable to design the experiments and optimized the cutting parameters for these performance characteristics using GRA for this newly develop material under investigation. Penerbit Universiti Teknologi Malaysia 2014 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6402/1/Optimization_of_Cutting_Parameters_of_Multiple_Performance_Characteristics_in_End_Milling_of_AlSi_AIN_MMC_%C3%A2%C2%80%C2%93_Taguchi_Method_and_Grey_Relational_Analysis.pdf Siti Haryani, Tomadi and J. A., Ghani and C. H., Che Haron and M. S., Kasim and A. R., Daud (2014) Optimization of Cutting Parameters of Multiple Performance Characteristics in End Milling of AlSi/AIN MMC - Taguchi Method and Grey Relational Analysis. Jurnal Teknologi (Sciences and Engineering), 68 (4). pp. 33-40. ISSN 0127-9696 (print); 2180-3722 (online) http://dx.doi.org/10.11113/jt.v68.2992 DOI: 10.11113/jt.v68.2992
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
M. S., Kasim
A. R., Daud
Optimization of Cutting Parameters of Multiple Performance Characteristics in End Milling of AlSi/AIN MMC - Taguchi Method and Grey Relational Analysis
description The main objective of this paper is to investigate and optimize the cutting parameters on multiple performance characteristics in end milling of Aluminium Silicon alloy reinforced with Aluminium Nitride (AlSi/AlN MMC) using Taguchi method and Grey relational analysis (GRA). The fabrication of AlSi/AlN MMC was made via stir casting with various volume fraction of particles reinforcement (10%, 15% and 20%). End milling machining was done under dry cutting condition by using two types of cutting tool (uncoated & PVD TiAlN coated carbide). Eighteen experiments (L18) orthogonal array with five factors (type of tool, cutting speed, feed rate, depth of cut, and volume fraction of particles reinforcement) were implemented. The analysis of optimization using GRA concludes that the better results for the combination of lower surface roughness, longer tool life, lower cutting force and higher material removal could be achieved when using uncoated carbide with cutting speed 240m/min, feed 0.4mm/tooth, depth of cut 0.3mm and 15% volume fraction of AlN particles reinforcement. The study confirmed that with a minimum number of experiments, Taguchi method is capable to design the experiments and optimized the cutting parameters for these performance characteristics using GRA for this newly develop material under investigation.
format Article
author Siti Haryani, Tomadi
J. A., Ghani
C. H., Che Haron
M. S., Kasim
A. R., Daud
author_facet Siti Haryani, Tomadi
J. A., Ghani
C. H., Che Haron
M. S., Kasim
A. R., Daud
author_sort Siti Haryani, Tomadi
title Optimization of Cutting Parameters of Multiple Performance Characteristics in End Milling of AlSi/AIN MMC - Taguchi Method and Grey Relational Analysis
title_short Optimization of Cutting Parameters of Multiple Performance Characteristics in End Milling of AlSi/AIN MMC - Taguchi Method and Grey Relational Analysis
title_full Optimization of Cutting Parameters of Multiple Performance Characteristics in End Milling of AlSi/AIN MMC - Taguchi Method and Grey Relational Analysis
title_fullStr Optimization of Cutting Parameters of Multiple Performance Characteristics in End Milling of AlSi/AIN MMC - Taguchi Method and Grey Relational Analysis
title_full_unstemmed Optimization of Cutting Parameters of Multiple Performance Characteristics in End Milling of AlSi/AIN MMC - Taguchi Method and Grey Relational Analysis
title_sort optimization of cutting parameters of multiple performance characteristics in end milling of alsi/ain mmc - taguchi method and grey relational analysis
publisher Penerbit Universiti Teknologi Malaysia
publishDate 2014
url http://umpir.ump.edu.my/id/eprint/6402/
http://umpir.ump.edu.my/id/eprint/6402/
http://umpir.ump.edu.my/id/eprint/6402/
http://umpir.ump.edu.my/id/eprint/6402/1/Optimization_of_Cutting_Parameters_of_Multiple_Performance_Characteristics_in_End_Milling_of_AlSi_AIN_MMC_%C3%A2%C2%80%C2%93_Taguchi_Method_and_Grey_Relational_Analysis.pdf
first_indexed 2018-09-07T00:52:32Z
last_indexed 2018-09-07T00:52:32Z
_version_ 1610907964964601856

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