Optimization of tool life in miling

This paper discuss of the Optimization of Tool Life in Milling. The objective of the paper is to obtain an optimal setting of turning process parameters –cutting speed, feed and depth of cut, which may result in optimizing tool life of TiN coated carbide inserts while milling aluminium 6061. Data is...

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Main Author:	Mohd Ezuwanizam, Masral
Format:	Undergraduates Project Papers
Language:	English
Published:	2010
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/1447/ http://umpir.ump.edu.my/id/eprint/1447/ http://umpir.ump.edu.my/id/eprint/1447/1/Mohd_Ezuwanizam_Masral_%28_CD_5044_%29.pdf

id	ump-1447
recordtype	eprints
spelling	ump-14472015-03-03T07:51:06Z http://umpir.ump.edu.my/id/eprint/1447/ Optimization of tool life in miling Mohd Ezuwanizam, Masral TJ Mechanical engineering and machinery This paper discuss of the Optimization of Tool Life in Milling. The objective of the paper is to obtain an optimal setting of turning process parameters –cutting speed, feed and depth of cut, which may result in optimizing tool life of TiN coated carbide inserts while milling aluminium 6061. Data is collected from FANUC Robodrill CNC milling machines were run by 15 samples of experiments. A dimensional-accuracy model for the end milling of aluminum alloys under dry conditions is presented. To build the quadratic model and minimize the number of experiments for the design parameters, response surface methodology (RSM) with a Box-Behnkin method is used to design the table in MINITAB packages. The inputs of the model consist of feed, cutting speed and depth of cut while the output from the model is tool life and tool wear was measured using Image Analyzer microscope.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 which reliable to be use in tool wear prediction. The direct and interaction effect of the machining parameter with tool wear were analyzed and plotted, which helped to select process parameter in order to reduce tool wear which ensures quality of milling. It is shown that the tool wear in end milling decreases with the increase in feed, radial depths of cut and cutting. From the experiment it is found that the effect of axial depth of cut on tool life is not so significant. The speed effect is dominant followed by the feed and the axial depth of cut. For end-milling of aluminium alloy 6061, the optimum condition that is required to maximize the coated carbide tool life are as follow: cutting speed of 180m/min, federate of 0.2 mm/rev, axial depth of 1.5 mm. 2010-12 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1447/1/Mohd_Ezuwanizam_Masral_%28_CD_5044_%29.pdf Mohd Ezuwanizam, Masral (2010) Optimization of tool life in miling. Faculty of Mechanical Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:52306&theme=UMP2
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 Mohd Ezuwanizam, Masral Optimization of tool life in miling
description	This paper discuss of the Optimization of Tool Life in Milling. The objective of the paper is to obtain an optimal setting of turning process parameters –cutting speed, feed and depth of cut, which may result in optimizing tool life of TiN coated carbide inserts while milling aluminium 6061. Data is collected from FANUC Robodrill CNC milling machines were run by 15 samples of experiments. A dimensional-accuracy model for the end milling of aluminum alloys under dry conditions is presented. To build the quadratic model and minimize the number of experiments for the design parameters, response surface methodology (RSM) with a Box-Behnkin method is used to design the table in MINITAB packages. The inputs of the model consist of feed, cutting speed and depth of cut while the output from the model is tool life and tool wear was measured using Image Analyzer microscope.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 which reliable to be use in tool wear prediction. The direct and interaction effect of the machining parameter with tool wear were analyzed and plotted, which helped to select process parameter in order to reduce tool wear which ensures quality of milling. It is shown that the tool wear in end milling decreases with the increase in feed, radial depths of cut and cutting. From the experiment it is found that the effect of axial depth of cut on tool life is not so significant. The speed effect is dominant followed by the feed and the axial depth of cut. For end-milling of aluminium alloy 6061, the optimum condition that is required to maximize the coated carbide tool life are as follow: cutting speed of 180m/min, federate of 0.2 mm/rev, axial depth of 1.5 mm.
format	Undergraduates Project Papers
author	Mohd Ezuwanizam, Masral
author_facet	Mohd Ezuwanizam, Masral
author_sort	Mohd Ezuwanizam, Masral
title	Optimization of tool life in miling
title_short	Optimization of tool life in miling
title_full	Optimization of tool life in miling
title_fullStr	Optimization of tool life in miling
title_full_unstemmed	Optimization of tool life in miling
title_sort	optimization of tool life in miling
publishDate	2010
url	http://umpir.ump.edu.my/id/eprint/1447/ http://umpir.ump.edu.my/id/eprint/1447/ http://umpir.ump.edu.my/id/eprint/1447/1/Mohd_Ezuwanizam_Masral_%28_CD_5044_%29.pdf
first_indexed	2023-09-18T21:54:35Z
last_indexed	2023-09-18T21:54:35Z
_version_	1777413994170023936

Optimization of tool life in miling

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