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Parametric optimization of process parameters for Electric discharge Machining of Tungsten carbide (93% WC and 7%Co)

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Języki publikacji
EN
Abstrakty
EN
Nowadays there is a huge demand of High Strength Temperature Resistance (HSTR) alloys such as titanium, carbide, nimonics and ceramics in aerospace, defence and electronics. Among these alloys machining of tungsten carbide alloy is of interest, because of its numerous applications. Complex shapes of tungsten carbide are not generally made by traditional manufacturing process. To machine tungsten carbide with high accuracy, non-traditional machining process like Laser beam machining, Electron beam machining and Electrical discharge machining are a proper choice. In the present paper, the authors have machined Tungsten carbide (93% WC and 7%Co) with copper electrode. The machining is performed on EDM MODEL 500 X 300 ENC with VELVEX EDMVEL-2 as dielectric oil. The 17 experiments are carried out based on RSM (Box-Behnken) method. Further, in order to find the optimum combination grey relational approach is used. The results showed that pulse-on-time of 40µs, pulse-off-time of 2µs and current of 8A are optimum combination for machining of Tungsten carbide (93% WC and 7%Co). Lastly, the confirmation experiment has been conducted.
Rocznik
Strony
154--161
Opis fizyczny
Bibliogr. 22 poz., rys., tab.
Twórcy
  • Department of Mechanical Engineering, NIT Hamirpur, India
Bibliografia
  • 1.Deng, J.L., 1989. Introduction to grey system, Journal of grey systems, 1(1), 1-24.
  • 2.Fred, L. Amorim and Walter, L., 2007. The Behavior of Graphite and Copper Electrodes on the Finish Die-Sinking Electrical Discharge Machining (EDM) of AISI P20 Tool Steel, 29(4).
  • 3.Gurjar, S.K., Kumar, R. Optimization of MRR and TWR on EDM by using Taguchi’s Method and ANOVA Die Steel H13, International Journal for Innovative Research in Science & Technology, 2(03), 2349-6010.
  • 4.Guu, Y.H, Max, Ti-Kuang Hou, 2007. Effect of machining parameters on surface textures in EDM of Fe-Mn-Al alloy, Materials Science and Engineering, 466, 61-67.
  • 5.Hargovind, Soni, Narendranath, S., Ramesh, M.R. 2015, Effect of Machining Parameters on Wire Electro Discharge Machining of Shape Memory Alloys Analyzed using Grey Entropy Method, Journal of Material Science and Mechanical Engineering, 2(13), 50-54.
  • 6.Jahan, M.P., Wong, Y.S., Rahman, M. 2011. A review on conventional and micro-electro discharge machining of tungsten carbide, International journal of machine tools and manufacture, 51(12), 837-858.
  • 7.Kuang-Yuan Kung, Jenn-Tsong Horng, Ko-Ta Chiang, 2009. Material removal rate and electrode wear ratio study on the powder mixed electrical discharge machining of cobalt-bonded tungsten carbide, The International Journal of Advanced Manufacturing Technology, 40, 95-104.
  • 8.Pandey, P.C., Shan, H.S. Modern machining processes, first edition.
  • 9.Kumar, A., Maheshwari, S., Sharma, C., Beri, N., 2010. Research developments in additives mixed electrical discharge machining (AEDM): a state of art review, material manufacturing process, 25(10), 1166-1180.
  • 10.Kansal, H.K., Singh Sehijpal, Kumar Pradeep. 2007. Effect of Silicon Powder Mixed EDM on Machining Rate of AISI D2 Die Steel, Journal of Manufacturing Process, 9(1).
  • 11.Kansal, H.K, Singh Sehijpal, Pradeep Kumar, 2006. Performance parameters optimization (multi-characterstics) of powder mixed electrical discharge machining (PMEDM) through Taguchi’s method and utility cocept, Indian Journal of engineering and material sciences, 13, 206-216.
  • 12.Lonardo, P.M, Bruzzon, A.A. 1999. Effect of Flushing and Electrode Material on Die Sinking EDM, 48(1).
  • 13.Lee, S.H., X.P., Li. 2001. Study of the effect of machining parametrs on machining characterstics in electrical discharge machining of tungsten carbide, Journal of material procesing technology, 115, 344-358.
  • 14.Mohan, B., Rajaduari, A., Satayanarayana, K.G. 2002. Effect of SiC and rotation of electrode on electric discharge machining of Al-SiC composite, Journal of material procesing technology, 124, 297-304.
  • 15.Groover, M.P., 2018. Principles of Modern Manufacturing, fifth edition.
  • 16.Rao, P.N., 2018. Manufacturing Technology, McGraw-Hill Educatio.
  • 17.Ritesh Joshi, Gopal Zinzala, Nishit Nirmal, Kishan, Multi-Response Optimization of EDM for Ti-6Al-4V Using Taguchi - Grey Relational Analysis, Solid State Phenomena, 266, 43-50.
  • 18.Sharma, R.K., Singh, J., 2016. Determination of multi-performance characteristics for powder mixed electric discharge machining of tungsten carbide alloy, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 230(2), 303-312.
  • 19.Singh, J. Sharma, R.K., 2016. Implementation of Taguchi method with hybrid decision making tools for prediction of surface characteristics for Powder-mixed EDM of WC, Special Issue- ICEMS-2016.
  • 20.Singh, J., Sharma, R.K., 2018. Multi-objective optimization of green powdermixed electrical discharge machining of tungsten carbide alloy. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 232(16), 2774-2786, doi:10.1177/0954406217727306
  • 21.Zhiyong Li., Qingwei Cui, Chen Bin, Ji XU and Guo H. Fabrication and EDM Corrosion Resistance of Copper Electroforming Layer on Tube Electrode for Aero-Engine Blade Cooling Hole in EDM Process, Key Engineering Materials, 764, 133-141.
  • 22.Singh, J., Sharma, R.K., 2017. Modeling and Optimization of Multi-Performance Characteristics of Powder-Mixed EDM of Tungsten Carbide Alloy Using Intelligent Decision-Making Tools, Journal of Advanced Manufacturing Systems, 16(02), 101-128.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0cc6988e-4775-4ec9-b046-661927ee56cd
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