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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/1433/2/Mohd_Aizuddin_Mat_Alwi_%28CD_5049%29.pdf
http://umpir.ump.edu.my/id/eprint/1433/
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spelling my.ump.umpir.14332021-06-25T03:39:42Z 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.
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 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/1433/2/Mohd_Aizuddin_Mat_Alwi_%28CD_5049%29.pdf
http://umpir.ump.edu.my/id/eprint/1433/
_version_ 1703960655606841344
score 13.211869

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