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	<Article> 

	<Journal> 

	<PublisherName>International Science Community Association</PublisherName>

	<JournalTitle>Research Journal of Engineering Sciences</JournalTitle> 

	<Issn>2278-9472</Issn>

	<Volume>6</Volume>

	<Issue>9</Issue>

	<PubDate PubStatus="ppublish"> 

	<Year>2017</Year> 

	<Month>10</Month> 

	<Day>26</Day> 

	</PubDate>

	</Journal>



	<ArticleTitle>Study of performance of milling machine for optimum surface Roughness</ArticleTitle> 


	<FirstPage>32</FirstPage>

	<LastPage>35</LastPage>



	<ELocationID EIdType="pii"></ELocationID>

	<Language>EN</Language> 
	<AuthorList>

	
		<Author> 

		<FirstName>Srikalpa Rajguru</FirstName>

		<MiddleName> </MiddleName>

		<LastName>Mahapatra</LastName>

		<Suffix>1</Suffix>

		<Affiliation>Department of Civil Engineering, VSSUT, Burla, Odisha, India</Affiliation>

		</Author>
		<Author> 

		<FirstName>Rupashree Ragini </FirstName>

		<MiddleName> </MiddleName>

		<LastName> Sahoo</LastName>

		<Suffix>2</Suffix>

		<Affiliation>Department of Civil Engineering, VSSUT, Burla, Odisha, India</Affiliation>

		</Author>
		<Author> 

		<FirstName>Santosh Kumar</FirstName>

		<MiddleName> </MiddleName>

		<LastName>Mishra</LastName>

		<Suffix>1</Suffix>

		<Affiliation>Mechanical Engg. Dept., B.I.T. Durg, CG, India</Affiliation>

		</Author>
		<Author> 

		<FirstName>H.</FirstName>

		<MiddleName> </MiddleName>

		<LastName>Chandra</LastName>

		<Suffix>2</Suffix>

		<Affiliation>Department of Mechanical Engg., V.E.C. Lakhanpur, Sarguja University, Ambikapur, C.G., India</Affiliation>

		</Author>
		<Author> 

		<FirstName>Arun </FirstName>

		<MiddleName> </MiddleName>

		<LastName>Arora</LastName>

		<Suffix>3</Suffix>

		<Affiliation>Mechanical Engg. Dept., B.I.T. Durg, CG, India</Affiliation>

		</Author>
		<Author> 

		<FirstName>Agrawal </FirstName>

		<MiddleName> </MiddleName>

		<LastName>Bipin J.</LastName>

		<Suffix>1</Suffix>

		<Affiliation>Dept. of Textile Chemistry, Faculty of Tech. and Engineering, The Maharaja Sayajirao University of Baroda, Vadodara-390 001, Gujarat, India</Affiliation>

		</Author>
		<Author> 

		<FirstName>M.</FirstName>

		<MiddleName> </MiddleName>

		<LastName>Rajendran</LastName>

		<Suffix>1</Suffix>

		<Affiliation>Department of Agricultural Engineering, Faculty of Agriculture, Eastern University, Sri Lanka</Affiliation>

		</Author>
		<Author> 

		<FirstName>E.R.N.</FirstName>

		<MiddleName> </MiddleName>

		<LastName>Gunawardena</LastName>

		<Suffix>2</Suffix>

		<Affiliation>Postgraduate Institute of Agriculture, University of Peradeniya, Sri Lanka</Affiliation>

		</Author>
		<Author> 

		<FirstName>N.D.K. </FirstName>

		<MiddleName> </MiddleName>

		<LastName>Dayawansa</LastName>

		<Suffix>3</Suffix>

		<Affiliation>Postgraduate Institute of Agriculture, University of Peradeniya, Sri Lanka</Affiliation>

		</Author>
		<Author> 

		<FirstName>Jyotsana</FirstName>

		<MiddleName> </MiddleName>

		<LastName>Kaiwart</LastName>

		<Suffix>1</Suffix>

		<Affiliation>Department of EE, Bhilai Institute of Technology, Durg, India</Affiliation>

		</Author>
		<Author> 

		<FirstName>Uma P. </FirstName>

		<MiddleName> </MiddleName>

		<LastName>Bala Raju</LastName>

		<Suffix>2</Suffix>

		<Affiliation>Department of EE, Bhilai Institute of Technology, Durg, India</Affiliation>

		</Author>
		<Author> 

		<FirstName>Sanjay Kumar</FirstName>

		<MiddleName> </MiddleName>

		<LastName>Mishra</LastName>

		<Suffix>1</Suffix>

		<Affiliation>Production Engineering, Bhilai Institute of Technology, Durg, (Chhattisgarh) Pin code– 491001, India</Affiliation>

		</Author>
		<Author> 

		<FirstName>Shabana Naz </FirstName>

		<MiddleName> </MiddleName>

		<LastName>Siddique</LastName>

		<Suffix>2</Suffix>

		<Affiliation>Department of Mechanical Engineering, Bhilai Institute of Technology, Durg, (Chhattisgarh) Pin code– 491001, India</Affiliation>

		</Author>

	<Author>

	<CollectiveName></CollectiveName>>

	</Author>

	</AuthorList>


	<PublicationType>Short Review Paper</PublicationType>


	<History>  
	<PubDate PubStatus="received">
	<Year>2017</Year>
	<Month>4</Month>
	<Day>8</Day>
	</PubDate>
	<PubDate PubStatus="accepted">										
	<Year>2017</Year> 
	<Month>10</Month>									
	<Day>26</Day> 
	</PubDate>

	</History>
	<Abstract>Milling process is used to remove material by a rotating cutter. This process of machining is used by the industries usually, and by cutting away the material which is unnecessary. Milling machine is used to produce a variety of character on a part. Central workshop of Bhilai Institute of Technology Durg which is the top most engineering collage of central India has two milling machines which are used to perform practical’s of engineering students. The aim of this paper is to get optimum surface roughness, which identify the parameter of machine. Surface roughness is one of the most specific consumer requirements in a machining process. Surface roughness actually means fine irregularities of surface texture. Also surface roughness takes place due to the tool chip interface and feed marks in machining process. The quality of surface plays an important role in evaluating productivity of machine tool and machined parts. Several parameters of milling process are there like speed of cutting, feed, Cutting depth, rate of material removal also known as MRR and time taken by the machine etc. which play a critical role on surface roughness. These parameters are focussed on by many researchers and it is found that the process parameter cutting speed, depth of cut and feed are critical parameters which influence the surface roughness of work piece. So from optimization point of view, these three process parameter (feed, cutting depth and speed of cutting) should be selected. A suitable method of optimization is needed to find optimum value of parameters for cutting and minimizing roughness of surface. Taguchi method will be used to get optimum surface roughness. Taguchi’s orthogonal array should be used to determine the parameter setting. Analysis of variance (ANOVA) will be used for result analysis. For carrying out process of machining, Mild steel will be used in water cooling condition in milling machines.</Abstract>

	<CopyrightInformation>Copyright@ International Science Community Association</CopyrightInformation>

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