Improvement of dry EDM process characteristics using artificial soft computing methodologies
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Ramani V, Cassidenti ML (1985) Inert-gas electrical discharge machining. NASA Technical Brief Number NPO 15660
Kunieda M, Furuoya S, Taniguchi N (1991) Improvement of EDM efficiency by supplying oxygen gas into gap. CIRP Ann Manuf Technol 40:215–218
Kunieda M, Yoshida M, Taniguchi N (1997) Electrical discharge machining in gas. CIRP Ann Manuf Technol 46:143–146
Saha SK, Choudhury SK (2009) Experimental investigation and empirical modeling of the dry electric discharge machining process. Int J Mach Tools Manuf 49(3–4):297–308
Govindan P, Joshi SS (2010) Experimental characterization of material removal in dry electrical discharge drilling. Int J Mach Tools Manuf 50:431–443
Kuneida M, Miyoshi Y, Takaya T, Nakajima N, Bo YZ, Yoshida M (2003) High speed 3D milling by dry EDM. CIRP Ann Manuf Technol 52:147–150
Yu Z, Jun T, Masanori K (2004) Dry electrical discharge machining of cemented carbide. In: 14th international symposium on electromachining (ISEM XIV), J Mater Process Technol 149 (1–3):353–357
Zhanbo Y, Takahashi J, Nakajima N, Sano S, Karato K, Kuneida M (2005) Feasibility of 3-D surface machining by dry EDM. Int J Electr Mach 10:15–20
Soni JS, Chakraverti G (1994) Machining characteristics of titanium alloy with rotary electro-discharge machining. Wear 171:51–58
Chattophaday KD, Veram S, Satsangi PS, Sharma PC (2009) Development of empirical model for different process parameters during rotary electrical discharge machining of copper-steel (EN-8) system. J Mater Process Technol 209:1454–1465
Mohan B, Rajadurai A, Satyanarayana KG (2002) Effect of SiC and rotation of tool electrode on electric discharge machining of Al–SiC composite. J Mater Process Technol 124:297–304
Kuppan P, Rajadurai A, Narayanan S (2008) Influence of EDM process parameters in deep hole drilling of Inconel 718. Int J Adv Manuf Technol 38:74–84
Sohani MS, Gaitonde VN, Siddeswarappa B, Deshpande AS (2009) Investigations into the effect of tool shapes with size factor consideration in sink electrical discharge machining (EDM) process. Int J Adv Manuf Tech 45:1131–1145
Tsai KM, Wang PJ (2001) Comparisons of neural network models on material removal rate in electrical discharge machining. J Mater Process Technol 117:111–124
Kumar S, Chodhury SK (2007) Prediction of wear and surface roughness in electro-discharge diamond grinding. J Mater Process Technol 191:206–209
Mandal D, Pal SK, Saha P (2007) Modeling of electrical discharge machining process using back propagation neural network and multi-objective optimization using non-dominating sorting genetic algorithm-II. J Mater Process Technol 186:154–162
Yang SH, Srinivas J, Mohan S, Lee DM, Blajee S (2009) Optimization of electric discharge machining using simulated annealing. J Mater Process Technol 209:4471–4475
Akay B, Karaboga D Artificial bee colony algorithm for large-scale problems and engineering design optimization. J Intell Manuf. doi: 10.1007/s10845-010-0393-4
Basturk B, Karaboga D (2006) An artificial bee colony (ABC) algorithm for numeric function optimization. In: Proceedings of the IEEE swarm intelligence symposium, Indianapolis, IN, USA, May 12–14
Rao RV, Pawar PJ (2009) Modelling and optimization of process parameters of wire electrical discharge machining. Proc IMechE, Part B J Eng Manuf 223(11):1431–1440
Samanta S, Chakraborty S (2011) Parametric optimization of some non-traditional machining processes using artificial bee colony algorithm. Eng Appl Artif Intell 24:946–957
Chen HC, Lin JC, Yang YK, Tsai CH (2010) Optimization of wire electrical discharge machining for pure tungsten using a neural network integrated simulated annealing approach. Expert Syst Appl 37:7147–7153
Joshi SN, Pande SS (2011) Intelligent process modeling and optimization of die-sinking electric discharge machining. Appl Soft Comput 11:2743–2755
Singh PN, Raghukandan N, Pai BC (2004) Optimization by Grey relational analysis of EDM parameters on machining Al–10 % SiCP composites. J Mater Process Technol 155–156:1658–1661
Hagan MT, Demuth HB, Beale M (1996) Neural network design. PWS Publishing Company, Boston, MA
Rao SS (2009) Engineering optimization: theory and practice. Wiley, Hoboken, NJ