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Influence of optimization techniques and nano surface coating materials on microstructure of iron-nickel-chromium alloy using wire EDM process

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This research proposes developing the new hybrid optimization techniques for getting optimized wire EDM machining parameters and analysing the performance and microstructure of hybrid treatment alloy 20 material (high-velocity oxygen fuel spraying and plasma nitriding on iron-nickel-chromium alloy) after machining in wire EDM. The devising optimization is carried out using back-propagation neural networks (BPNN) integrated with fuzzy logic techniques. Taguchi L27 method uses optimized parameters in 3 factors and 3 level methods to BPNN wire EDM processing parameters. Those processing parameter errors are controlled by applying fuzzy logic system in hybrid optimization techniques. The hybrid optimization provides best results (±5% error) while comparing other techniques. This proposal was started with research review of defined factors and BPNN parameters level for hidden layer number, learning algorithm, neurons numbers, and so on. The analysis of variance (ANOVA), analysis of means (ANOM) and signal to noise (S/N) ratio have been used to identify Taguchi results. The BPNN techniques have been employed significantly to tackle hidden layer's uncertain parameter structures. The fuzzy logic controllers in general have been designed engaging the relations between system performance and factor through error method calculation. The microstructure analysis showed that the no evidence was found of recast layer formation on hybrid treated material after machining in wire EDM due to compressive stress and compound layer on material surface.
Wydawca
Rocznik
Strony
152--165
Opis fizyczny
Bibliogr. 29 poz., rys., tab.
Twórcy
  • PSR Engineering College Sivakasi, India
  • Department of Mechanical Engineering, Vel Tech Multitech, Avadi, Chennai - 600062, Tamilnadu, India
autor
  • Department of Mechanical Engineering, Vel Tech Multitech, Avadi, Chennai - 600062, Tamilnadu, India
Bibliografia
  • [1] Ablyaz, T.R. and Belinin, D.S., 2014. Wire electrical discharge machining of items after plasmatic surface hardening. Middle-East Journal of Scientific Research, 19(8), pp.1096-1098.
  • [2] Altug, M., Erdem, M. and Ozay, C., 2015. Experimental investigation of kerf of Ti6Al4V exposed to different heat treatment processes in WEDM and optimization of parameters using genetic algorithm. The International Journal of Advanced Manufacturing Technology, 78(9-12), pp.1573-1583.
  • [3] Azam, M., Jahanzaib, M., Abbasi, J.A., Abbas, M., Wasim, A. and Hussain, S., 2016. Parametric analysis of recast layer formation in wire-cut EDM of HSLA steel. The International Journal of Advanced Manufacturing Technology, 87(1-4), pp.713-722.
  • [4] Bosheh, S.S. and Mativenga, P.T., 2006. White layer formation in hard turning of H13 tool steel at high cutting speeds using CBN tooling. International Journal of Machine Tools and Manufacture, 46(2), pp.225-233.
  • [5] Çayda¸s, U., Hasçalık, A. and Ekici, S., 2009. An adaptive neuro-fuzzy inference system (ANFIS) model for wire-EDM. Expert Systems with Applications, 36(3), pp.6135-6139.
  • [6] Choi, K.K., Nam, W.J. and Lee, Y.S., 2008. Effects of heat treatment on the surface of a die steel STD11 machined by W-EDM. Journal of materials processing technology, 201(1-3), pp.580-584.
  • [7] Dhobe, M.M., Chopde, I.K. and Gogte, C.L., 2013. Effect of heat treatment and process parameters on surface roughness in wire electro discharge machining. Int. J. Mech. Eng. & Rob. Res, 2(2), pp.275-281.
  • [8] Dhobe, M.M., Chopde, I.K. and Gogte, C.L., 2013. Investigations on surface characteristics of heat treated tool steel after wire electro-discharge machining. Materials and manufacturing processes, 28(10), pp.1143-1146.
  • [9] Garg, R.K., Singh, K.K., Sachdeva, A., Sharma, V.S., Ojha, K. and Singh, S., 2010. Review of research work in sinking EDM and WEDM on metal matrix composite materials. The International Journal of Advanced Manufacturing Technology, 50(5-8), pp.611-624.
  • [10] Kapoor, J., Khamba, J.S. and Singh, S., 2012. The effect of machining parameters on surface roughness and material removal rate with cryogenic treated wire in WEDM. International Journal of Machining and Machinability of Materials 2, 12(1-2), pp.126-141.
  • [11] Khan, A.A., Ali, M.B.M. and Shaffiar, N.B.M., 2006. Relationship of surface roughness with current and voltage during wire EDM. Journal of applied sciences, 6(10), pp.2317-2320.
  • [12] Manevski, K., Børgesen, C.D., Li, X., Andersen, M.N., Abrahamsen, P., Hu, C. and Hansen, S., 2016. Integrated modelling of crop production and nitrate leaching with the Daisy model. MethodsX, 3, pp.350-363.
  • [13] Marafona, J.D. and Araujo, A., 2009. Influence of workpiece hardness on EDM performance. International Journal of Machine Tools and Manufacture, 49(9), pp.744-748.
  • [14] Morotti, S. and Grandi, E., 2017. Logistic regression analysis of populations of electrophysiological models to assess proarrythmic risk.MethodsX, 4, pp.25-34.
  • [15] Nain, S.S., Garg, D. and Kumar, S., 2018. Investigation for obtaining the optimal solution for improving the performance of WEDM of super alloy Udimet-L605 using particle swarm optimization. Engineering science and technology, an international journal, 21(2), pp.261-273.
  • [16] Newton, T.R., Melkote, S.N.,Watkins, T.R., Trejo, R.M. and Reister, L., 2009. Investigation of the effect of process parameters on the formation and characteristics of recast layer in wire-EDM of Inconel 718. Materials Science and Engineering: A, 513, pp.208-215.
  • [17] Prasad, K.S., Rao, C.S. and Rao, D.N., 2011. Establishing empirical relationships to predict grain size and hardness of pulsed current microplasma arc welded Inconel 625 sheets. Journal of Materials & Metallurgical Engineering, 1(3), pp.1-10.
  • [18] Rao, P.S., Ramji, K. and Satyanarayana, B., 2011. Effect of WEDM conditions on surface roughness: A parametric optimization using Taguchi method. International journal of advanced engineering sciences and technologies, 6(1), pp.41-48.
  • [19] Rao, T.B. and Krishna, A.G., 2013. Simultaneous optimization of multiple performance characteristics in WEDM for machining ZC63/SiC p MMC. Advances in Manufacturing, 1(3), pp.265-275.
  • [20] Bharathi, R.S., Shanmugam, N.S., Kannan, R.M. and Vendan, S.A., 2018. Studies on the Parametric Effects of Plasma Arc Welding of 2205 Duplex Stainless Steel. High Temperature Materials and Processes, 37(3), pp.219-232.
  • [21] Sajjadi, S.A., Zolfaghari, G., Adab, H., Allahabadi, A. and Delsouz, M., 2017. Measurement and modeling of particulate matter concentrations: applying spatial analysis and regression techniques to assess air quality. MethodsX, 4, pp.372-390.
  • [22] Sidhu, S.S., Batish, A. and Kumar, S., 2013. Neural network–based modeling to predict residual stresses during electric discharge machining of Al/SiC metal matrix composites. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 227(11), pp.1679-1692.
  • [23] Singh, R. and Singh, B., 2011. Comparison of cryotreatment effect on machining characteristics of titanium in electric discharge machining. International Journal of Automotive and Mechanical Engineering, 3, pp.239-48.
  • [24] Sone, T. and Masui, K., 1991. Application of ion nitriding to wire-electrical-discharge-machined blanking dies. Materials Science and Engineering: A, 140, pp.486-493.
  • [25] Srinivasan, R.G., Selvabharathi, R., Palani, S. and Karuppasamy, R., 2019. Influence of high-velocity oxygen fuel spraying and plasma nitriding on microstructure properties of iron-nickel-chromium alloy using hybrid surface heat treatment. Materials Research Express, 6(8), p.086584.
  • [26] Tarng, Y.S., Ma, S.C. and Chung, L.K., 1995. Determination of optimal cutting parameters in wire electrical discharge machining. International Journal of Machine Tools and Manufacture, 35(12), pp.1693-1701.
  • [27] Warren, A.W., Guo, Y.B. and Weaver, M.L., 2006. The influence of machining induced residual stress and phase transformation on the measurement of subsurface mechanical behavior using nanoindentation. Surface and Coatings Technology, 200(11), pp.3459-3467.
  • [28] Williams, R.E. and Rajurkar, K.P., 1991. Study of wire electrical discharge machined surface characteristics. Journal of materials processing technology, 28(1-2), pp.127-138.
  • [29] Xiong, G., Zheng, M., Li, D., Zhao, L., Wang, Y. and Li, M., 2010, October. Study on the influence of nonelectrical parameters on processing quality of WEDMHS and improvement measures. In International Conference on Computer and Computing Technologies in Agriculture (pp. 514-520). Springer, Berlin, Heidelberg.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-cd740bd1-6af2-4fbd-9f15-45db49d0813d
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