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abhishek shrotriya, mohammed Ali, Devendra Patel


In this work selection of cutting fluid is analysed on the basis of feed force, cutting force, surface roughness and radial force. Its application has been carried out by using TOPSIS method. The value of variables i.e. feed force, cutting force, surface roughness, radial force and weight criteria can be changed for factors influencing cutting. It will be easier to determine the appropriate cutting fluid for turning processes. For machining cylindrical work piece of mild steel the single point cutting tool is used. A number of experiments are performed with different cutting speeds, cutting fluids, and feed rates. The results are shown in the form of graphs. These graphs indicate the relative closeness value for different cutting fluids by TOPSIS methods. By investigating the graph, the optimum cutting fluid for several cutting speeds and feeds is obtained. The present study represents the effect of a well-known parameter i.e. coolant flow on the surface finish along with other elements such as spindle speed, feed, depth of cut and  cutting force. Selection of cutting fluid is an important criteria during cutting processes, as it is related with the cutting conditions that is surface finish, depth of cut and cutting forces.


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M.K.Vijaya Prabhu, Dr. P. Ponnusamy and J.Senthil Kumar. "Performance of various cutting fluids by estimating surface roughness of mild steel in turning." International Journal of Engineering Research and Technology (IJERT) , no. 2 (2013): 2278-0181.

Bouzid, Wassila. "Cutting parameter optimization to minimize production time in high speed turning." Journal of materials processing technology,161, no. 3. 388-395.

Bhushan, Navneet, and Kanwal Rai. "Strategic decision making: applying the analytic hierarchy process." Springer Science & Business Media, 2007.

Srikrishan, S., A. Sreenivasulu Reddy, and S. Vani. "A New Car Selection in the Market using TOPSIS Technique." International Journal of Engineering Research and General 2 (2014).

Lan, Tian Syung, and Ming-Yung Wang. “Competitive parameter optimization of multi-quality CNC turning." The International Journal of Advanced Manufacturing Technology 41, no. 7 (2009): 820-826.

Khan, M. I.,Haque Serajul A text of Manufacturing Science. Eastern Economy Edition: PHI Learning Private Limited, 2011:225-319.

Rao P V, Singh D. “A surface roughness prediction model for hard turning processes." International journal of Advance Manufacturing Technology 29, 2006: 62-68.

Lal G.K., A text of Introduction to Machining Science, second edition, new age international (p) limited, 2005:40-44.

Juneja B.L.,Sekhon G.S., Seth Nitin,A text of Fundamentals of Metal cutting and Machine Tools, New age international (p) limited,2005:81-85.

Ozel, Tugrul, Tsu-Kong Hsu, and Erol Zeren. “Effects of cutting edge geometry, workpiece hardness, feed rate and cutting speed on surface roughness and forces in finish turning of hardened AISI H13 steel." The International Journal of Advanced Manufacturing Technology 25, no. 3 (2005): 262-269.

Bhattacharya, Anirban, Santanu Das, P. Majumder, and Ajay Batish. "Estimating the effect of cutting parameters on surface finish and power consumption during high speed machining of AISI 1045 steel using Taguchi design and ANOVA." Production Engineering 3, no. 1 (2009): 31-40.


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