Optimization of surface roughness in milling by using response surface method (RSM)

Aluminium Alloys are attractive materials due to their unique high strength-weight ratio that is maintained at elevated temperatures and their exceptional corrosion resistance. Face mill is used as cutting tool for experiment in milling machine.So in this study, the optimum of surface roughness is o...

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Main Author:	Mohd Aizuddin, Mat Alwi
Format:	Undergraduates Project Papers
Language:	English
Published:	2010
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/1433/ http://umpir.ump.edu.my/id/eprint/1433/ http://umpir.ump.edu.my/id/eprint/1433/2/Mohd_Aizuddin_Mat_Alwi_%28CD_5049%29.pdf

id	ump-1433
recordtype	eprints
spelling	ump-14332015-03-03T07:51:00Z http://umpir.ump.edu.my/id/eprint/1433/ Optimization of surface roughness in milling by using response surface method (RSM) Mohd Aizuddin, Mat Alwi TA Engineering (General). Civil engineering (General) Aluminium Alloys are attractive materials due to their unique high strength-weight ratio that is maintained at elevated temperatures and their exceptional corrosion resistance. Face mill is used as cutting tool for experiment in milling machine.So in this study, the optimum of surface roughness is optimize by using response surface method. The experiments were carried out using CNC milling machine. The experiment was run with 15 experiment test. All the data was analyzed by using Response Surface Method (RSM) and Neural Network (NN). The result have shown that the feed gave the more affect on the both prediction value of Ra compare to the cutting speed and depth of cut r as P-values is less than 0.05. From the prediction data that shown, the different between both software is smaller and the value is acceptable to get the optimum value of surface roughness 2010-12 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1433/2/Mohd_Aizuddin_Mat_Alwi_%28CD_5049%29.pdf Mohd Aizuddin, Mat Alwi (2010) Optimization of surface roughness in milling by using response surface method (RSM). Faculty of Mechanical Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:52465&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Mohd Aizuddin, Mat Alwi Optimization of surface roughness in milling by using response surface method (RSM)
description	Aluminium Alloys are attractive materials due to their unique high strength-weight ratio that is maintained at elevated temperatures and their exceptional corrosion resistance. Face mill is used as cutting tool for experiment in milling machine.So in this study, the optimum of surface roughness is optimize by using response surface method. The experiments were carried out using CNC milling machine. The experiment was run with 15 experiment test. All the data was analyzed by using Response Surface Method (RSM) and Neural Network (NN). The result have shown that the feed gave the more affect on the both prediction value of Ra compare to the cutting speed and depth of cut r as P-values is less than 0.05. From the prediction data that shown, the different between both software is smaller and the value is acceptable to get the optimum value of surface roughness
format	Undergraduates Project Papers
author	Mohd Aizuddin, Mat Alwi
author_facet	Mohd Aizuddin, Mat Alwi
author_sort	Mohd Aizuddin, Mat Alwi
title	Optimization of surface roughness in milling by using response surface method (RSM)
title_short	Optimization of surface roughness in milling by using response surface method (RSM)
title_full	Optimization of surface roughness in milling by using response surface method (RSM)
title_fullStr	Optimization of surface roughness in milling by using response surface method (RSM)
title_full_unstemmed	Optimization of surface roughness in milling by using response surface method (RSM)
title_sort	optimization of surface roughness in milling by using response surface method (rsm)
publishDate	2010
url	http://umpir.ump.edu.my/id/eprint/1433/ http://umpir.ump.edu.my/id/eprint/1433/ http://umpir.ump.edu.my/id/eprint/1433/2/Mohd_Aizuddin_Mat_Alwi_%28CD_5049%29.pdf
first_indexed	2023-09-18T21:54:34Z
last_indexed	2023-09-18T21:54:34Z
_version_	1777413992556265472

Optimization of surface roughness in milling by using response surface method (RSM)

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