Optimization of grinding parameter when grind haynes 242 using water based titanium oxide (TiO2) nanocoolant

This thesis entitled Optimization of Grinding Parameter when grind Haynes 242 using water based Titanium Oxide (TiO2) Nanocoolant. The objective of this thesis is to find optimum parameter which is the Depth of cut. The thesis also is to investigate type of surface roughness and wheel wear produced...

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Main Author:	Sangeetha, Govindasamy
Format:	Undergraduates Project Papers
Language:	English
Published:	2012
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/4459/ http://umpir.ump.edu.my/id/eprint/4459/ http://umpir.ump.edu.my/id/eprint/4459/1/cd6653_70.pdf

id	ump-4459
recordtype	eprints
spelling	ump-44592015-03-03T09:19:09Z http://umpir.ump.edu.my/id/eprint/4459/ Optimization of grinding parameter when grind haynes 242 using water based titanium oxide (TiO2) nanocoolant Sangeetha, Govindasamy TJ Mechanical engineering and machinery This thesis entitled Optimization of Grinding Parameter when grind Haynes 242 using water based Titanium Oxide (TiO2) Nanocoolant. The objective of this thesis is to find optimum parameter which is the Depth of cut. The thesis also is to investigate type of surface roughness and wheel wear produced during grinding process. Haynes 242 material was used as the work piece and Titanium Oxide as Nanocoolant was used for this grinding process. The another objective of this thesis is also to develop prediction model for surface roughness and wheel wear produced using Neural Network Analysis. These studies will be done for two experimental processes which is the single pass and multi pass experiment according to different depth of cut. As result, we observed that as the depth of cut increases, the surface roughness of the material also increases. However, when compare between the single pass and multi pass experiment, we can observed that surface roughness for single pass are much higher than the multi pass experiment. As for the recommendation, in future we can conduct the experiment using different kind of concentration, various depths of cut, different passes and also different types of material. 2012-06 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/4459/1/cd6653_70.pdf Sangeetha, Govindasamy (2012) Optimization of grinding parameter when grind haynes 242 using water based titanium oxide (TiO2) nanocoolant. Faculty of Mechanical Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:69510&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 Sangeetha, Govindasamy Optimization of grinding parameter when grind haynes 242 using water based titanium oxide (TiO2) nanocoolant
description	This thesis entitled Optimization of Grinding Parameter when grind Haynes 242 using water based Titanium Oxide (TiO2) Nanocoolant. The objective of this thesis is to find optimum parameter which is the Depth of cut. The thesis also is to investigate type of surface roughness and wheel wear produced during grinding process. Haynes 242 material was used as the work piece and Titanium Oxide as Nanocoolant was used for this grinding process. The another objective of this thesis is also to develop prediction model for surface roughness and wheel wear produced using Neural Network Analysis. These studies will be done for two experimental processes which is the single pass and multi pass experiment according to different depth of cut. As result, we observed that as the depth of cut increases, the surface roughness of the material also increases. However, when compare between the single pass and multi pass experiment, we can observed that surface roughness for single pass are much higher than the multi pass experiment. As for the recommendation, in future we can conduct the experiment using different kind of concentration, various depths of cut, different passes and also different types of material.
format	Undergraduates Project Papers
author	Sangeetha, Govindasamy
author_facet	Sangeetha, Govindasamy
author_sort	Sangeetha, Govindasamy
title	Optimization of grinding parameter when grind haynes 242 using water based titanium oxide (TiO2) nanocoolant
title_short	Optimization of grinding parameter when grind haynes 242 using water based titanium oxide (TiO2) nanocoolant
title_full	Optimization of grinding parameter when grind haynes 242 using water based titanium oxide (TiO2) nanocoolant
title_fullStr	Optimization of grinding parameter when grind haynes 242 using water based titanium oxide (TiO2) nanocoolant
title_full_unstemmed	Optimization of grinding parameter when grind haynes 242 using water based titanium oxide (TiO2) nanocoolant
title_sort	optimization of grinding parameter when grind haynes 242 using water based titanium oxide (tio2) nanocoolant
publishDate	2012
url	http://umpir.ump.edu.my/id/eprint/4459/ http://umpir.ump.edu.my/id/eprint/4459/ http://umpir.ump.edu.my/id/eprint/4459/1/cd6653_70.pdf
first_indexed	2023-09-18T21:59:04Z
last_indexed	2023-09-18T21:59:04Z
_version_	1777414275711631360

Optimization of grinding parameter when grind haynes 242 using water based titanium oxide (TiO2) nanocoolant

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