A NOVEL METHOD FOR SELECTING THE OPTIMAL EDM PROCESS FOR HASTELLOY B2 USING THE MODIFIED-ADDITIVE RATIO ASSESSMENT METHOD (M-ARAS) BASED ADAPTIVE NEURO FUZZY INFERENCE SYSTEM (ANFIS)
Keywords:
EDM, ANFIS, M-ARAS, squareness
Abstract
Electrode wear and metal removal exhibited nonlinear behavior in the Electrical Discharge Machining (EDM) of Hastelloy B2 plate. Hence, mathematical modeling was used to solve this problem. The hole size, pulse duration, duty cycle, and current were selected as inputs. Squareness and taper angle were considered as responses. Therefore, the Modified-Additive Ratio Assessment Method (M-ARAS) based Adaptive Neuro Fuzzy Inference System (ANFIS) method was used to find the optimum EDM process parameters. The overall analysis showed that the M-ARAS-based ANFIS algorithm provided a good fit for optimization of the process parameters and could be used for further multi-objective optimization problems.
References
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2F.H. Çakir, O.N. Çelik, Improvement of the machinability of Ti–6Al–4V alloy wire electro discharge machining with cryogenic treatment, Metals and Materials International, (2020) 1-9, doi.org/10.1007/s12540-020-00667-z
3M.I. Utama, A.A. Ammar, N. Park, Baek, E.R. Origin of Surface Irregularities on Ti–10V–2Fe–3Al Beta Titanium Alloy, Metals and Materials International, 24 (2018) 2, 291-299, doi.org/10.1007/s12540-018-0042-6
4S.K. Basha, M. Kolli, M.J. Raju, Parametric optimization of EDM on Hastelloy C-276 Using Taguchi L18 Technique, Int. J. Eng. Technol., 7 (2018), 714-716, doi: 10.14419/ijet.v7i2.7.10929
5P. Singh, A. Kumar, N. Beri, V. Kumar, Some experimental investigation on aluminum powder mixed EDM on machining performance of hastelloy steel, IJAET, 1 (2010) 2, 28-45
6P. Kuppan, S. Narayanan, A. Rajadurai, M. Adithan, Effect of EDM parameters on hole quality characteristics in deep hole drilling of Inconel 718 superalloy, Int. J. Prod. Res., 10 (2015) 1, 45-63, doi: 10.1504/IJMR.2015.067617
7D. Mandal, S.K. Pal, P. Saha, Modeling of EDM using BPNN and multi-objective optimization using non dominating sorting algorithm–II, J. Mater. Process. Technol, 2007, doi.org/10.1016/j.jmatprotec.2006.12.030.
8K. Al-Ghamdi, O. Taylan, A comparative study on modelling material removal rate by ANFIS and polynomial methods in electrical discharge machining process, Computers & Industrial Engineering, 79 (2015), 27-41, doi.org/10.1016/j.cie.2014.10.023.
9A.A. Khan, M.Y. Ali, M.M. Haque, A study of electrode shape configuration on the performance of die sinking EDM, International Journal of Mechanical and Materials Engineering, 4 (2009) 1, 19-23.
10Z.Y. Yu, K.P. Rajurkar, H. Shen, High aspect ratio and complex shaped blind micro holes by micro EDM, CIRP annals, 51 (2002) 1, 359-362, doi.org/10.1016/S0007-8506(07)61536-4.
11M. Goiogana, A. Elkaseer, Self-Flushing in EDM Drilling of Ti6Al4V Using Rotating Shaped Electrodes, Materials, 12 (2019) 6, 989, doi. 10.3390/ma12060989.
12A.P. Tiwary, B.B. Pradhan, B. Bhattacharyya, Influence of various metal powder mixed dielectric on micro-EDM characteristics of Ti-6Al-4V, Materials and Manufacturing Processes, 34 (2019) 10, 1103-1119, doi. 10.1080/10426914.2019.1628265.
13B. Sen, S. A. I. Hussain, A. D. Gupta, M. K. Gupta, D. Y. Pimenov, T. Mikołajczyk, Application of Type-2 Fuzzy AHP-ARAS for Selecting Optimal WEDM Parameters, Metals, 11 (2021) 42, 1-16, doi.org/10.3390/met11010042
14N. Jeyaprakash, Che-Hua Yang, D. Raj Kumar, Machinability study on CFRP composite using Taguchi based grey relational analysis, MATER TODAY. 21 (2020) 1425-1431, doi.org/10.1016/j.matpr.2019.08.212
15V. R. Pathapalli, V. R. Basam, S. k. Gudimetta, M. R. Koppula, Optimization of machining parameters using WASPAS and MOORA, World J. Eng. 17 (2019) 237-246, doi.org/10.1108/WJE-07-2019-0202
16S. Chandrasekhar, N. B. V. Prasad, Multi-response optimization of electrochemical machining parameters in the micro-drilling of AA6061-TiB2 in situ composites using the Entropy–VIKOR method, Proc. Inst. Mech. Eng., Part B: J. Eng. Manuf. 234 (2020) 1311-1322, doi.org/10.1177/0954405420911539
Published
2021-12-10
How to Cite
1.
Narasimmalu R, Sundaresan R. A NOVEL METHOD FOR SELECTING THE OPTIMAL EDM PROCESS FOR HASTELLOY B2 USING THE MODIFIED-ADDITIVE RATIO ASSESSMENT METHOD (M-ARAS) BASED ADAPTIVE NEURO FUZZY INFERENCE SYSTEM (ANFIS). MatTech [Internet]. 2021Dec.10 [cited 2026Jul.16];55(6):839–842. Available from: https://mater-tehnol.si/index.php/MatTech/article/view/144
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