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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 445A Case Study on Quality and Productivity...

A Case Study on Quality and Productivity Optimization in Electric Discharge Machining (EDM)

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Abstract:

Quality and productivity are two important aspects have become great concerns in todays competitive global market. Every manufacturing/ production unit mainly focuses on these areas in relation to the process as well as product developed. Achieving high quality necessarily requires higher degree of skill, sophisticated machine/ tools, advanced technology, precise control, immense attention-inspection and considerable time. Improvement of quality results reduction in productivity and vice versa. Thus, optimality must be maintained between quality as well as productivity. The case study highlights EDM of stainless steel in which best process environment (optimal) has been determined to satisfy productivity and quality requirements simultaneously. Material Removal Rate (MRR) during the process has been considered as productivity estimate with the aim to maximize it; whereas surface roughness i.e. (R_a value) of the machined surface has been chosen as surface quality estimate with the requirement to minimize it. These two contradicting requirements have been simultaneously satisfied by selecting an optimal process environment (optimal parameter setting). Desirability Function (DF) approach coupled with Taguchi method has been used to solve the problem.

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Materials and Manufacturing Technologies XIV

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Periodical:

Advanced Materials Research (Volume 445)

Pages:

27-32

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.445.27

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Online since:

January 2012

Authors:

H. Dalai, S. Dewangan, Saurav Datta, S.K. Patel, S.S. Mahapatra

Keywords:

Desirability Function (DF), EDM, Material Removal Rate (MRR), Surface Roughness (SR), Taguchi Method

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] http: /www. nedians. 8m. com/EDM. htm.

[2] Marafona, J., Wykes, C. (2000), A new method of optimizing material removal rate using EDM with copper-tungsten electrodes, International Journal of Machine Tools and manufacture, Vol. 40, pp.153-164.

DOI: 10.1016/s0890-6955(99)00062-0

[3] Yih-fong Tzeng, FU-chen Chen (2007), Multi-objective optimization of high speed electrical discharge machining process using a Taguchi fuzzy based approach, Materials and Design, Vol. 28, pp.1159-1168.

DOI: 10.1016/j.matdes.2006.01.028

[4] Kumar, S., Singh, T.P. (2007), A comparative study of the performance of different EDM electrode materials in two dielectric media, (IE) (I) Journal-PR, Vol. 8, PP. 3-8.

[5] Saha, S.K. (2008), Experimental investigation of the dry electric discharge machining (Dry EDM) process, M. Tech. Thesis, IIT Kanpur, Kanpur 208016, India.

[6] Rao, G.K.M., Janardhana, G.R., Rao, D.H., Rao, M.S. (2008).

[7] Pradhan, M.K., Biswas, C.K., (2008).

[8] Tebni, W., Boujelbene, M., Bayraktwe, E., Ben Salem, B. (2009).

[9] Marcel Sabin Popa, Glad Contiu, Grigore Pop, (2009), "Surface quality of the EDM processed materials, XXIX IMEKO World Congress, Fundamental and Applied Metrology, September 6-11, 2009, Lisbon, Portugal.

[10] Singh, H., Garg, R., (2009), Effects of process parameters on material removal rate in WEDM, Journal of Achievement in Materials and Manufacturing Engineering, Vol. 32, No. 1, pp.70-74.

[11] Pradhan, M.K., Biswas, C.K., (2009), Modeling and analysis of process parameters on surface roughness in EDM of AISI D2 tool steel by RSM approach, International Journal of Engineering and Applied Sciences, Vol. 5, No. 5, pp.346-351.

[12] Asif Iqbal, A.K.M., Ahsan Ali khan (2010), Modeling and analysis of MRR, EWR and surface roughness in EDM milling through Response Surface Methodology, American Journal of Engineering and Applied Science, Vol. 3, No. 4, pp.611-619.

DOI: 10.3844/ajeassp.2010.611.619

[13] Abbas, N.M., Solomen, D.G., Bahari, M.F., (2007), A Review on Current research trends in Electrical Discharge Machining (EDM), International Journal of machine Tools and Manufacture, Vol. 47, pp.1214-1228.

DOI: 10.1016/j.ijmachtools.2006.08.026

[14] Payal, H.S., Choudhury, R., Singh, S. (2008), Analysis of electro discharge machined Surfaces of EN-31 tool steel, Journal of Scientific and Industrial Research, Vol. 67, pp.1072-1077.

[15] Derringer, G., Suich, R. (1980), Simultaneous optimization of several response variables, Journal of Quality Technology, Vol. 12, No. 4, pp.214-219.

DOI: 10.1080/00224065.1980.11980968