Prediction of grinding machinability when grind P20 tool steel using water based ZnO nano-coolant

Grinding is often an important finishing process for many engineering components and for some components is even a major production process. The surface roughness, Ra is also an important factor affecting many manufacturing departments. In this study, a model have been developed to find the effect o...

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Main Author:	Yogeswaran, Muthusamy
Format:	Thesis
Language:	English
Published:	2012
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/37055/1/Prediction%20of%20grinding%20machinability%20when%20grind%20P20%20tool%20steel%20using%20water%20based%20ZnO%20nano-coolant%20%28Master%20Thesis%29.pdf
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id	my-ump-ir.37055
record_format	uketd_dc
spelling	my-ump-ir.370552023-02-20T06:44:13Z Prediction of grinding machinability when grind P20 tool steel using water based ZnO nano-coolant 2012-06 Yogeswaran, Muthusamy TJ Mechanical engineering and machinery Grinding is often an important finishing process for many engineering components and for some components is even a major production process. The surface roughness, Ra is also an important factor affecting many manufacturing departments. In this study, a model have been developed to find the effect of grinding condition which is depth of cut, type of wheel and type of grinding coolant on the surface roughness on AISI P20 tool steel and wheel wear. Besides that, the objective of this study is to determine the effect of Zinc Oxide (ZnO) nano-coolant on the grinding surface quality and wheel wear for various axial depth. Precision surface grinding machine is used to grind the AISI P20 tool steel. The work table speed would be constant throughout the experiment which is 200 rpm. The experiment conducted with grinding depth in the range of 5 to 21µm. Besides, Aluminum Oxide wheel and Silicon Carbide wheel are used to grind the work piece in this experimental study. Next, the experiment will conduct using ZnO nano-coolant. Finally, the artificial intelligence model has been developed using ANN. From the result, it shows that the lower surface roughness and wheel wear obtain at the lowest cutting depth which is 5 µm. Besides that, grind using ZnO nano-coolant gives better surface roughness and minimum wheel wears compare to grind using water based coolant. From the prediction of ANN, it shows that the surface roughness became constant after cutting depth 21 µm. In conclusion, grind using ZnO nano-coolant with cutting depth 5 µm obtain a better surface roughness and lowest wheel wear. As a recommendation, various machining can be conducted using ZnO nano-coolant to emphasize better results. 2012-06 Thesis http://umpir.ump.edu.my/id/eprint/37055/ http://umpir.ump.edu.my/id/eprint/37055/1/Prediction%20of%20grinding%20machinability%20when%20grind%20P20%20tool%20steel%20using%20water%20based%20ZnO%20nano-coolant%20%28Master%20Thesis%29.pdf pdf en public masters Universiti Malaysia Pahang Faculty of Mechanical Engineering Kumaran, Kadirgama
institution	Universiti Malaysia Pahang Al-Sultan Abdullah
collection	UMPSA Institutional Repository
language	English
advisor	Kumaran, Kadirgama
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Yogeswaran, Muthusamy Prediction of grinding machinability when grind P20 tool steel using water based ZnO nano-coolant
description	Grinding is often an important finishing process for many engineering components and for some components is even a major production process. The surface roughness, Ra is also an important factor affecting many manufacturing departments. In this study, a model have been developed to find the effect of grinding condition which is depth of cut, type of wheel and type of grinding coolant on the surface roughness on AISI P20 tool steel and wheel wear. Besides that, the objective of this study is to determine the effect of Zinc Oxide (ZnO) nano-coolant on the grinding surface quality and wheel wear for various axial depth. Precision surface grinding machine is used to grind the AISI P20 tool steel. The work table speed would be constant throughout the experiment which is 200 rpm. The experiment conducted with grinding depth in the range of 5 to 21µm. Besides, Aluminum Oxide wheel and Silicon Carbide wheel are used to grind the work piece in this experimental study. Next, the experiment will conduct using ZnO nano-coolant. Finally, the artificial intelligence model has been developed using ANN. From the result, it shows that the lower surface roughness and wheel wear obtain at the lowest cutting depth which is 5 µm. Besides that, grind using ZnO nano-coolant gives better surface roughness and minimum wheel wears compare to grind using water based coolant. From the prediction of ANN, it shows that the surface roughness became constant after cutting depth 21 µm. In conclusion, grind using ZnO nano-coolant with cutting depth 5 µm obtain a better surface roughness and lowest wheel wear. As a recommendation, various machining can be conducted using ZnO nano-coolant to emphasize better results.
format	Thesis
qualification_level	Master's degree
author	Yogeswaran, Muthusamy
author_facet	Yogeswaran, Muthusamy
author_sort	Yogeswaran, Muthusamy
title	Prediction of grinding machinability when grind P20 tool steel using water based ZnO nano-coolant
title_short	Prediction of grinding machinability when grind P20 tool steel using water based ZnO nano-coolant
title_full	Prediction of grinding machinability when grind P20 tool steel using water based ZnO nano-coolant
title_fullStr	Prediction of grinding machinability when grind P20 tool steel using water based ZnO nano-coolant
title_full_unstemmed	Prediction of grinding machinability when grind P20 tool steel using water based ZnO nano-coolant
title_sort	prediction of grinding machinability when grind p20 tool steel using water based zno nano-coolant
granting_institution	Universiti Malaysia Pahang
granting_department	Faculty of Mechanical Engineering
publishDate	2012
url	http://umpir.ump.edu.my/id/eprint/37055/1/Prediction%20of%20grinding%20machinability%20when%20grind%20P20%20tool%20steel%20using%20water%20based%20ZnO%20nano-coolant%20%28Master%20Thesis%29.pdf
_version_	1783732259010904064

Prediction of grinding machinability when grind P20 tool steel using water based ZnO nano-coolant

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