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Performance of coated carbide cutting tool while machining aluminium alloy and mild steel

This paper discuss of the performance of coated carbide cutting tools in milling by investigating through the surface roughness. Response Surface Methodology (RSM) is implemented to model the face milling process that are using four insert of coated carbide TiNC as the cutting tool and mild steel AI...

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Main Author: Ismail, Ab.llah
Format: Undergraduates Project Papers
Language:English
Published: 2010
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/1793/1/Performance%20of%20coated%20carbide%20cutting%20tool%20while%20machining%20aluminium%20alloy%20and%20mild%20steel.pdf
http://umpir.ump.edu.my/id/eprint/1793/
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spelling my.ump.umpir.17932022-12-01T02:13:22Z http://umpir.ump.edu.my/id/eprint/1793/ Performance of coated carbide cutting tool while machining aluminium alloy and mild steel Ismail, Ab.llah TJ Mechanical engineering and machinery This paper discuss of the performance of coated carbide cutting tools in milling by investigating through the surface roughness. Response Surface Methodology (RSM) is implemented to model the face milling process that are using four insert of coated carbide TiNC as the cutting tool and mild steel AISI1020 and aluminium alloy AA6061 as materials due to predict the resulting of surface roughness. Data is collected from HAAS CNC milling machines were run by 15 samples of experiments for each material using DOE approach that generate by Box-Behnkin method due to table design in MINITAB packages. The inputs of the model consist of feed, cutting speed and depth of cut while the output from the model is surface roughness. Predictive value of surface roughness was analyzed by the method of RSM. The model is validated through a comparison of the experimental values with their predicted counterparts. A good agreement is found where from the RSM approaches show the 81.76% accuracy for mild steel and 80.09% accuracy for aluminium alloy which reliable to be use in Ra prediction and state the feed parameter is the most significant parameter followed by depth of cut and cutting speed influence the surface roughness. For Aluminium Alloy AA6061, the performance of coated carbide cutting tool is better than Mild Steel AISI1020. This project also identified that the increasing of surface roughness, Ra is proportional to the increasing of depth of cut and feed but inversely proportional to the increasing of cutting speed for both of the Aluminum Alloy (AA6061) and Mild Steel (AISI1020). The proved technique opens the door for a new, simple and efficient approach that could be applied to the calibration of other empirical models of machining 2010-12 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/1793/1/Performance%20of%20coated%20carbide%20cutting%20tool%20while%20machining%20aluminium%20alloy%20and%20mild%20steel.pdf Ismail, Ab.llah (2010) Performance of coated carbide cutting tool while machining aluminium alloy and mild steel. Faculty of Mechanical Engineering, Universiti Malaysia Pahang.
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Ismail, Ab.llah
Performance of coated carbide cutting tool while machining aluminium alloy and mild steel
description This paper discuss of the performance of coated carbide cutting tools in milling by investigating through the surface roughness. Response Surface Methodology (RSM) is implemented to model the face milling process that are using four insert of coated carbide TiNC as the cutting tool and mild steel AISI1020 and aluminium alloy AA6061 as materials due to predict the resulting of surface roughness. Data is collected from HAAS CNC milling machines were run by 15 samples of experiments for each material using DOE approach that generate by Box-Behnkin method due to table design in MINITAB packages. The inputs of the model consist of feed, cutting speed and depth of cut while the output from the model is surface roughness. Predictive value of surface roughness was analyzed by the method of RSM. The model is validated through a comparison of the experimental values with their predicted counterparts. A good agreement is found where from the RSM approaches show the 81.76% accuracy for mild steel and 80.09% accuracy for aluminium alloy which reliable to be use in Ra prediction and state the feed parameter is the most significant parameter followed by depth of cut and cutting speed influence the surface roughness. For Aluminium Alloy AA6061, the performance of coated carbide cutting tool is better than Mild Steel AISI1020. This project also identified that the increasing of surface roughness, Ra is proportional to the increasing of depth of cut and feed but inversely proportional to the increasing of cutting speed for both of the Aluminum Alloy (AA6061) and Mild Steel (AISI1020). The proved technique opens the door for a new, simple and efficient approach that could be applied to the calibration of other empirical models of machining
format Undergraduates Project Papers
author Ismail, Ab.llah
author_facet Ismail, Ab.llah
author_sort Ismail, Ab.llah
title Performance of coated carbide cutting tool while machining aluminium alloy and mild steel
title_short Performance of coated carbide cutting tool while machining aluminium alloy and mild steel
title_full Performance of coated carbide cutting tool while machining aluminium alloy and mild steel
title_fullStr Performance of coated carbide cutting tool while machining aluminium alloy and mild steel
title_full_unstemmed Performance of coated carbide cutting tool while machining aluminium alloy and mild steel
title_sort performance of coated carbide cutting tool while machining aluminium alloy and mild steel
publishDate 2010
url http://umpir.ump.edu.my/id/eprint/1793/1/Performance%20of%20coated%20carbide%20cutting%20tool%20while%20machining%20aluminium%20alloy%20and%20mild%20steel.pdf
http://umpir.ump.edu.my/id/eprint/1793/
_version_ 1751536347184627712
score 13.211869

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