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:	Undergraduates Project Papers
Language:	English
Published:	2012
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/4639/ http://umpir.ump.edu.my/id/eprint/4639/ http://umpir.ump.edu.my/id/eprint/4639/1/cd6655_97.pdf

id	ump-4639
recordtype	eprints
spelling	ump-46392015-03-03T09:20:12Z http://umpir.ump.edu.my/id/eprint/4639/ Prediction of grinding machinability when grind P20 tool steel using water based ZnO nano-coolant 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 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/4639/1/cd6655_97.pdf Yogeswaran, Muthusamy (2012) Prediction of grinding machinability when grind P20 tool steel using water based ZnO nano-coolant. Faculty of Mechanical Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:69415&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 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	Undergraduates Project Papers
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
publishDate	2012
url	http://umpir.ump.edu.my/id/eprint/4639/ http://umpir.ump.edu.my/id/eprint/4639/ http://umpir.ump.edu.my/id/eprint/4639/1/cd6655_97.pdf
first_indexed	2023-09-18T21:59:24Z
last_indexed	2023-09-18T21:59:24Z
_version_	1777414297273499648

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

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