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Singaravel, B.
- Experimental Investigation of Eco-Friendly Vegetable Oil as Dielectric Fluid in Electrical Discharge Machining
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Authors
Affiliations
1 Department of Mechanical Engineering, Vignan Institute of Technology and Science, Deshmukhi, Hyderabad, Telangana, IN
1 Department of Mechanical Engineering, Vignan Institute of Technology and Science, Deshmukhi, Hyderabad, Telangana, IN
Source
Manufacturing Technology Today, Vol 19, No 1-2 (2020), Pagination: 45-52Abstract
Electric Discharge Machining (EDM) is used to machine complex geometries on hard to difficult material. In this investigation, vegetable oil based dielectric fluids are used and their performance is compared with conventional dielectric fluid during the machining of Inconel 800. Two different categories of dielectrics such as vegetable oil (sunflower, canola and jatropha) and hydrocarbon oil (kerosene) are used. Three set of energy settings are used during the process to analyze the Material Removal Rate (MRR) and Tool Wear Rate (TWR). The result showed that vegetable oil based dielectric fluid showed higher MRR than conventional dielectric fluid. Also, the result of TWR is observed as higher than conventional dielectric fluid. Further studies are required to understand high TWR using vegetable oil as dielectric. This work concludes vegetable oils that are similar in dielectric properties could be used as dielectric fluid.Keywords
EDM, Dielectric fluid, Vegetable Oil, Inconel 800, Performance.
References
- Jain, V.K. (2009). Advanced machining processes. Allied publishers, India
- Valaki, J.B., Rathod, P.P., & Khatri, B.C (2015). Environmental impact, personnel health and operational safety aspects of electric discharge machining: A review. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 229(9), 1481-1491.
- Puthumana, G., & Joshi, S.S. (2011). Investigations into performance of dry EDM using slotted electrodes. International Journal of precision Engineering & Manufacturing. 12(6), 957-963.
- Gholipoor, A., Baseri, H., & Shabgard, M.R. (2015). Investigation of near dry EDM compared with wet and dry EDM processes. Journal of Mechanical Science and Technology. 29(5), 2213-2218.
- Tang, L., & Du, Y.T. (2014). Multi-objective optimization of green electrical discharge machining Ti–6Al–4V in tap water via Grey-Taguchi method. Materials and Manufacturing Processes. 29(5), 507-513.
- Leao, F.N., & Pashby, I.R. (2004). Review on the use of environmentally-friendly dielectric fluids in electrical discharge machining. Journal of Materials Processing Technology. 149(1), 341-346.
- Levy, G.N. (1993). Environmentally friendly & high-capacity dielectric regeneration for wire EDM. CIRP annals. 42(1), 227-230.
- Valaki, J.B., & Rathod, P.P. (2016). Assessment of operational feasibility of waste vegetable oil based bio-dielectric fluid for sustainable electric discharge machining (EDM). International Journal of Advanced Manufacturing Technology. 87(5-8), 1509-1518.
- Ng, P.S., Kong, S.A., & Yeo, S.H. (2017). Investigation of biodiesel dielectric in sustainable electrical discharge machining. International Journal of Advanced Manufacturing Technology. 90(9-12), 2549-2556.
- Sadagopan, P., & Mouliprasanth, B. (2017). Investigation on the influence of different types of dielectrics in electrical discharge machining. International Journal of Advanced Manufacturing Technology. 92(1-4), 277-291.
- Valaki, J.B., Rathod, P.P., & Sankhavara, C.D. (2016). Investigations on technical feasibility of Jatropha curcas oil based bio dielectric fluid for sustainable electric discharge machining (EDM). Journal of Manufacturing processes. 22, 151-160.
- Valaki, J.B & Rathod, P.P. (2016). Investigating feasibility through performance analysis of green dielectrics for sustainable electric discharge machining. International Journal of Advanced Manufacturing Technology. 31(4), 541-549.
- Kumar, S., Dhingra, A.K., & Kumar, S. (2017). Parametric optimization of powder mixed electrical discharge machining for nickel based superalloy inconel-800 using response surface methodology. Mechanics of Advanced Materials and Modern Processes. 3(1), 1-7.
- Karunakaran, K., & Chandrasekaran, M. (2017). Experimental Investigation Nano Particles Influence in NPMEDM to Machine Inconel 800 with Electrolyte Copper Electrode. IOP Conference Series: Materials Science and Engineering. 197(1), 012068.
- Paul, T.R., Majumder, H., Dey, V., & Dutta, P. (2015). Study the Effect of Material Removal Rate in Die-sinking EDM for Inconel 800 using Response Surface Methodology. Journal of Material Science and Mechanical Engineering. 2(9), 27-31.
- Kumar, S., Singh, R., Batish, A., Singh, T.P. (2017). Modeling the tool wear rate in powder mixed electro-discharge machining of titanium alloys using dimensional analysis of cryogenically treated electrodes and work piece. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering. 231(2), 271-282.
- Giakoumis, E.G. (2013). Statistical investigation of biodiesel physical and chemical properties, and their correlation with the degree of unsaturation. Renewable Energy. 50, 858-878.
- Wang, X., Liu, Z., Xue, R., Tian, Z., & Huang, Y. (2014). Research on the influence of dielectric characteristics on the EDM of titanium alloy. International Journal of Advanced Manufacturing Technology. 72(5-8), 979-987.
- Daneshmand, S., Kahrizi, E.F., Abedi, E., & Abdolhosseini, M.M. (2013) Influence of machining parameters on electro discharge machining of NiTi shape memory alloys. International Journal of chemical science. 8(3) 3095-3104.
- Shabgard, M.R., Seyedzavvar, M., & Oliaei, S.N.B (2011). Influence of input parameters on characteristics of EDM process. Journal of Mechanical Engineering. 57(9) 689-696.
- Wu, K.L., Yan, B.H., Huang, F.Y., & Chen, S.C. (2005). Improvement of surface finish on SKD steel using electro-discharge machining with aluminum and surfactant added dielectric. International Journal of Machine Tools and Manufacture. 45(10), 1195-1201.
- Kiyak, M., Aldemir, B.E., & Altan, E. (2015). Effects of discharge energy density on wear rate and surface roughness in EDM. International Journal of Advanced Manufacturing Technology. 79(1-4), 513-518.
- Bhaumik, M., & Maity, K. (2018). Effect of different tool materials during EDM performance of titanium grade 6 alloy. Engineering Science and Technology, an International Journal. 21(3) 507-516.
- Jahan, M.P., Wong, Y.S., & Rahman, M. (2009). Study on the fine-finish die-sinking micro-EDM of tungsten carbide using different electrode materials. Journal of Materials Processing Technology. 209(8), 3956-3967.
- Kuttuboina, M.K., Uthirapathi, A., & Lenin, S.D. (2012). Effect of process parameters in electric discharge machining of Ti-6Al–4V alloy by three different tool electrode materials. Advanced Materials Research. 488, 876-880.
- Khan, A.A. (2008). Electrode wear and material removal rate during EDM of aluminum and mild steel using copper and brass electrodes. International Journal of Advanced Manufacturing Technology. 39(5-6) 482-487.
- Singh, S., Maheshwari, S., & Pandey, P.C. (2004). Some investigations into the electric discharge machining of hardened tool steel using different electrode materials. Journal of Materials Processing Technology. 149(1-3), 272-277.
- Optimization Study of Process Parameters using Genetic Algorithm in EDM
Abstract Views :244 |
PDF Views:0
Authors
Affiliations
1 Department of Mechanical Engineering, Vignan Institute of Technology & Science, Hyderabad, IN
1 Department of Mechanical Engineering, Vignan Institute of Technology & Science, Hyderabad, IN
Source
Manufacturing Technology Today, Vol 19, No 5-6 (2020), Pagination: 3-11Abstract
Productivity and quality in production/manufacturing have great concerns in competitive global market; manufacturing units mainly focuses on these in relation to the process and product developed subsequently. Electrical Discharge Machining process, even now it is an experience process, wherein still the selected parameters are often far from the maximum, and at the same time selecting optimization parameters is costly and time-consuming affair. Material Removal Rate during the process has been considered in this work as a productivity estimate with the objective to maximize it, also have better surface roughness, taken as important output parameter, in the process. These two opposite objectives have been simultaneously satisfied by selecting an optimal process environment, optimal parameter setting. In this work, objective function is obtained using Regression Analysis and tested for optimization using Genetic Algorithm technique. The model is shown to be effective; MRR and Surface Roughness shown improved when used optimized machining parameters.Keywords
EDM, Optimization, Process Parameters, Genetic Algorithm.References
- Bhattacharyya, B., Gangopadhyay, S., & Sarkar, B.R. (2007). Modelling and analysis of EDMED job surface integrity. Journal of Materials Processing Technology, 189(1-3), 169–177.
- Dewangan, S., Datta, S., Patel, S.K., and Mahapatra, S.S. (2011, July 13-16th). A case study on quality and productivity optimization in electric discharge machining. 14th International Conference in Advanced Materials & Processing Technologies AMPT2011, Istanbul, Turkey.
- Dhanabalan, S., Sivakumar, K., & Satyanarayanan, C. (2011). Optimization of EDM parameters with multiple Performance characteristics for Titanium grades. European Journal of Scientific Research, 68 (3), 297-305.
- Joshi, S.N., & Pande, S.S. (2011). Intelligent process modeling & optimization of die-sinking electric discharge machining. Applied Soft Computing, 11(2), 2743–2755.
- Karthikeyan, R., Lakshmi Narayanan, P.R., and Naagarazan, R.S. (1999). Mathematical modelling for electric discharge machining of aluminium-silicon carbide particulate composites. Journal of Materials Processing Technology, 87(1-3), 59-63.
- Rao, G.K.M., Rangajanardhaa, G., Rao, D.H., and Rao, M.S. (2009). Development of Hybrid Model and Optimization of Surface Roughness in Electric Discharge Machining Using Artificial Neural Networks & Genetic Algorithm. Journal of Materials Processing Technology, 209(3), 1512-1520.
- Saha, S.K., and Choudhury, S.K. (2009). Experimental investigation & empirical modeling of the dry electric discharge machining process. International Journal of Machine Tools and Manufacture, 49(3-4), 297-308.
- Tzeng, C.J., & Chen, R.Y. (2013). Optimization of electric discharge machining process using the response surface methodology & genetic algorithm approach. International Journal of Precision Engineering and Manufacturing, 14, 709-717.
- Rao, V.R. (2011). Advanced modeling & optimization of manufacturing processes. Springer Verlag Limited.
- Wang, K., Gelgele, H.L., Wang, Y., Yuan, Q., and Fang, M. (2003). A Hybrid Intelligent Method for Modeling the EDM Process. International Journal of Machine Tools and Manufacture, 43(10), 995-999.