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Optimization of turning operation toward surface quality using Response Surface Methodology (RSM) / Muhammad Fikri Mohamad Fuad

Turning operation plays significant role in manufacturing industry especially to fabricate machined parts. Meanwhile surface quality is one of the important aspects to measure the performance of lathe machine. This research experimentally investigated the effect of turning parameters which are feed...

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Main Author: Mohamad Fuad, Muhammad Fikri
Format: Student Project
Language:English
Published: 2017
Subjects:
TJ Mechanical engineering and machinery
Control engineering systems. Automatic machinery (General)
Online Access:http://ir.uitm.edu.my/id/eprint/31435/1/31435.pdf
http://ir.uitm.edu.my/id/eprint/31435/
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spelling my.uitm.ir.314352020-07-05T21:31:25Z http://ir.uitm.edu.my/id/eprint/31435/ Optimization of turning operation toward surface quality using Response Surface Methodology (RSM) / Muhammad Fikri Mohamad Fuad Mohamad Fuad, Muhammad Fikri TJ Mechanical engineering and machinery Control engineering systems. Automatic machinery (General) Turning operation plays significant role in manufacturing industry especially to fabricate machined parts. Meanwhile surface quality is one of the important aspects to measure the performance of lathe machine. This research experimentally investigated the effect of turning parameters which are feed rate, cutting speed and depth of cut toward surface roughness and machining time by using Response Surface Methodology (RSM). Central Composite Design (CCD) was chosen to design 15 set of experiments for 3 continuous factors. The mild steel was chosen as work material and had been turning under hot facing operation on conventional JET Lathe machine. The cutting tool used for this experiment was Tungsten Carbide insert. The experimental results were analyzed using a statistical Analysis of Variance (ANOVA) and developed mathematical model for surface roughness. With accuracy of 94.3% by compared experimental and theoretical data, the model can be verified as valid. The results indicate that feed rate give most influence factor to the surface roughness rather than cutting speed and depth of cut. Furthermore, for optimize condition, maximum cutting speed, minimum feed rate and depth of cut can increase the surface quality of machined parts. In addition, the analysis also generated the relationship between cutting parameters and machining time. It is show that the feed rate and cutting speed influenced the machining time. 2017-07 Student Project NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/31435/1/31435.pdf Mohamad Fuad, Muhammad Fikri (2017) Optimization of turning operation toward surface quality using Response Surface Methodology (RSM) / Muhammad Fikri Mohamad Fuad. [Student Project] (Unpublished)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic TJ Mechanical engineering and machinery
Control engineering systems. Automatic machinery (General)
spellingShingle TJ Mechanical engineering and machinery
Control engineering systems. Automatic machinery (General)
Mohamad Fuad, Muhammad Fikri
Optimization of turning operation toward surface quality using Response Surface Methodology (RSM) / Muhammad Fikri Mohamad Fuad
description Turning operation plays significant role in manufacturing industry especially to fabricate machined parts. Meanwhile surface quality is one of the important aspects to measure the performance of lathe machine. This research experimentally investigated the effect of turning parameters which are feed rate, cutting speed and depth of cut toward surface roughness and machining time by using Response Surface Methodology (RSM). Central Composite Design (CCD) was chosen to design 15 set of experiments for 3 continuous factors. The mild steel was chosen as work material and had been turning under hot facing operation on conventional JET Lathe machine. The cutting tool used for this experiment was Tungsten Carbide insert. The experimental results were analyzed using a statistical Analysis of Variance (ANOVA) and developed mathematical model for surface roughness. With accuracy of 94.3% by compared experimental and theoretical data, the model can be verified as valid. The results indicate that feed rate give most influence factor to the surface roughness rather than cutting speed and depth of cut. Furthermore, for optimize condition, maximum cutting speed, minimum feed rate and depth of cut can increase the surface quality of machined parts. In addition, the analysis also generated the relationship between cutting parameters and machining time. It is show that the feed rate and cutting speed influenced the machining time.
format Student Project
author Mohamad Fuad, Muhammad Fikri
author_facet Mohamad Fuad, Muhammad Fikri
author_sort Mohamad Fuad, Muhammad Fikri
title Optimization of turning operation toward surface quality using Response Surface Methodology (RSM) / Muhammad Fikri Mohamad Fuad
title_short Optimization of turning operation toward surface quality using Response Surface Methodology (RSM) / Muhammad Fikri Mohamad Fuad
title_full Optimization of turning operation toward surface quality using Response Surface Methodology (RSM) / Muhammad Fikri Mohamad Fuad
title_fullStr Optimization of turning operation toward surface quality using Response Surface Methodology (RSM) / Muhammad Fikri Mohamad Fuad
title_full_unstemmed Optimization of turning operation toward surface quality using Response Surface Methodology (RSM) / Muhammad Fikri Mohamad Fuad
title_sort optimization of turning operation toward surface quality using response surface methodology (rsm) / muhammad fikri mohamad fuad
publishDate 2017
url http://ir.uitm.edu.my/id/eprint/31435/1/31435.pdf
http://ir.uitm.edu.my/id/eprint/31435/
_version_ 1685650788694622208
score 13.211869

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