Abstract
Increasing demand on micro-product leads to the development of innovative manufacturing process in nonconventional machining process to these micro-scale applications. In the medical field a huge variety of products can be found in prosthesis, surgery devices and tissue engineering, which required the application of the EDM process to manufacture micro cavities. Now-a-days the materials like Ti-alloy (Ti6Al4V) and 316L Stainless Steel are widely used in biomedical fields, which are very difficult to machine. These materials are also used in additive manufacturing process. Here it presents an experimental study of electro-discharge machining (EDM) of titanium alloy (Ti6Al4V) and 316L Stainless Steel. The objective of this work is to study the effect and optimization of machining process parameters like pulse-on-time, discharge current and duty cycle on process performance parameters such as material removal rate (MRR), tool wear rate (TWR) and Radial over cut (ROC). A Taguchi L9 design of experiment (DOE) has been applied and three levels of process parameters have been taken. The optimization method Grey relational analysis (GRA) method was used to optimize the parameters. The Analysis of Variance (ANOVA) also indicated the percentage contribution of machining parameters that influence response performance parameters. By the GRA method it was found that for Ti-alloy the machining parameter duty cycle (DC) has maximum percentage contribution on the output responses followed by discharge current (I p) and pulse on time (T ON). Similarly for 316L Stainless Steel the machining parameter discharge current (I p) has maximum percentage contribution on the output responses followed by pulse-on-time (T ON) and duty cycle (DC).
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References
Assarzadeh S, Ghoreishi M (2013) Statistical modeling and optimization of process parameters in electro-discharge machining of cobalt-bonded tungsten carbide composite (WC/6 %Co). In: The Seventeenth CIRP conference on electro physical and chemical machining (ISEM), Procedia CIRP 6 (2013), pp 463–468
Mishra PK (2012) Nonconventional machining. Narosa Publishing House, New Delhi
Nourbakhsha F, Rajurkarb KP, Malshec AP, Caod J (2013) Wire electro-discharge machining of titanium alloy. Proc CIRP 5:13–18
Rajmohan T, Prabhu R, Subba Rao G, Palanikumar K (2012) Optimisation of machining parameters in EDM of 304 stainless steel. In: ICMOC, pp 1030–1036
Karthikeyan R, Lakshmi Narayanan PR, Naagarazan RS (1999) Mathematical modeling for electric discharge machining of aluminium-silicon carbide particulate composites. J Mater Process Technol 87(1–3):59–63
El-Taweel TA (2009) Multi-response optimization of EDM with Al-Cu-Si-tic P/M composite electrode. Int J Adv Manuf Technol 44(1–2):100–113
Mohan B, Rajadurai A, Satyanarayana KG (2002) Effect of sic and rotation of electrode on electric discharge machining of Al-sic composite. J Mater Process Technol 124(3):297–304
Simao J, Lee HG, Aspinwall DK, Dewes RC, Aspinwall EM (2003) Workpiece surface modification using electrical discharge machining 43(2003):121–128
Singh PN, Raghukandan K, Rathinasabapathi M, Pai BC (2004) Electric discharge machining of Al-10 %sicp as-cast metal matrix composites. J Mater Process Technol 155–156(1–3):1653–1657
Lee SH, Li XP (2001) Study of the effect of machining parameters on the machining characteristics in electrical discharge machining of tungsten carbide. J Mater Process Technol 115(3):344–358
Wang C, Lin YC (2009) Feasibility study of electrical discharge machining for W/Cu composite. Int J Refract Metal Hard Mater 27(5):872–882
Tsai HC, Yan BH, Huang FY (2003) EDM performance of Cr/Cu-based composite electrodes. Int J Mach Tools Manuf 43(3):245–252
Puertas I, Luis CJ (2004) A study of optimization of machining parameters for electrical discharge machining of boron carbide. Mater Manuf Processes 19(6):1041–1070
Mohanty CP, Sahu J, Mahapatra SS (2013) Thermal-structural analysis of electrical discharge machining process. Proc Eng 51:508–513
Tilekar S, Das SS, Patowari PK (2014) Process parameter optimisation of wire EDM on aluminum and mild steel by using Taguchi method. In: AMME 2014, Procedia Materials Science, vol 5, pp 2577–2584
Lodhia BK, Agarwal S (2014) Optimization of machining parameters in WEDM of AISI D3 steel using Taguchi technique. In: 6th CIRP international conference on high performance cutting, HPC2014. In: Procedia CIRP 14, pp 194–199
Dhar S, Purohit R, Saini N, Sharma A, Kumar GH (2007) Mathematical modeling of electric discharge machining of cast Al-4Cu-6Si alloy-10 wt.% sicp composites. J Mater Process Technol 193(1–3):24–29
Gauri SK, Pal S (2010) Comparison of performances of five prospective approaches for the multi-response optimization. Int J Adv Manuf Technol 1205–1220
Chenthil Jagan TM, Dev Anand M, Ravindran D (2012) Determination of EDM parameters in AISI202 stainless steel using grey relational analysis. ICMOC, Proc Eng 38:4005–4012
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Sahu, A.K., Mohanty, P.P., Sahoo, S.K. (2017). Electro Discharge Machining of Ti-Alloy (Ti6Al4V) and 316L Stainless Steel and Optimization of Process Parameters by Grey Relational Analysis (GRA) Method. In: Wimpenny, D., Pandey, P., Kumar, L. (eds) Advances in 3D Printing & Additive Manufacturing Technologies. Springer, Singapore. https://doi.org/10.1007/978-981-10-0812-2_6
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DOI: https://doi.org/10.1007/978-981-10-0812-2_6
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