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Manikandan, N.
- Experimental Investigations on Spark Erosion Machining of Haste Alloy C-276 Using Taguchi’s Approach
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PDF Views:3
Authors
Affiliations
1 Dept of Mechanical Engg, Sree Vidyanikethan Engg College (Autonomous), Tirupati, AP, IN
2 Dept of Mechanical Engg, Santhiram Engg College, Nandyal, Kurnool, AP, IN
3 Dept of Mechanical Engg, Adhi College of Engg & Technology, Chennai, Tamilnadu, IN
1 Dept of Mechanical Engg, Sree Vidyanikethan Engg College (Autonomous), Tirupati, AP, IN
2 Dept of Mechanical Engg, Santhiram Engg College, Nandyal, Kurnool, AP, IN
3 Dept of Mechanical Engg, Adhi College of Engg & Technology, Chennai, Tamilnadu, IN
Source
Manufacturing Technology Today, Vol 16, No 11 (2017), Pagination: 3-11Abstract
Haste Alloy C276 is a hard to machine superalloy and extensively used in various engineering applications such as aerospace, nuclear reactor and gas turbine industries. Haste Alloy C-276 possess good strength and lower thermal conductivity results in decreased tool life and poor machinability by conventional machining methods. Advanced machining processes have developed over a period to fulfill such kind of demands and claimed to be an appropriate alternative method to traditional metal removal processes. Electrical Discharge Machining (EDM) is one of the advanced machining process which has been employed for machining of hard materials. Electrical Discharge Drilling is one of the variants in EDM process considered as an auspicious method in various engineering applications. This present article details an investigation on electrical discharge machining of nickel based superalloy - Haste Alloy C276 by Taguchi’s methodology. The experiments are devised by Taguchi’s design of experiments approach. A statistical tool Analysis of Variance (ANOVA) has been employed to ascertain the importance of independent process variables on the desired dependent variables.Keywords
Electrical Discharge Machining (EDM), Haste Alloy, Taguchi’s Methodology, Form and Orientation Tolerances, Analysis of Variance (ANOVA).
References
- XiaojiangCai., Sheng Qin., Junli Li., Qinglong An., Ming Chen. (2014) Experimental investigation on surface integrity of end milling nickel based alloy - Inconel 718, Machining Science and Technology: An International Journal. Vol.18, pp.31-46.
- Wu, Q. Serrated chip formation and tool-edge wear in high-speed machining of advanced aerospace materials, Utah State University, Logan, Utah, 2007.
- Salman Pervaiz., Amir Rashid., Ibrahim Deiab., MihaiNicolescu. (2014) Influence of tool materials on machinability of titanium-and nickel-based alloys: A Review, Materials and manufacturing processes, Vol.29, pp.219-252.
- Kuppan, P., Narayanan, S., Rajadurai, A., Adithan, M. (2015). Effect of EDM parameters on hole quality characteristics in deep hole drilling of Inconel 718 superalloy. International Journal of Manufacturing Research, Vol.10, No.1, pp.45-63.
- Qu, N.S., Hu, Y., Zhu, D., Xu, Z.Y. (2014) Electrochemical machining of blisk channels with progressive pressure electrolyte flow. Materials and manufacturing processes. Vol.29, pp.572-578.
- K.H Ho, S.T Newman, “State of the art electrical discharge machining (EDM)”, International Journal of Machine Tools and Manufacture, 43 (2003) 1287 – 1300.
- C. J. Luis, I. Puertas, G. Villa, “Material removal rate and electrode wear study on the EDM of silicon carbide”, Journal of Material Processing Technology, 165 (2005) 889–896.
- J. Marafona, J.A.G. Chousal, “A finite element model of EDM based on the Joule effect”, International Journal of Machine Tools and Manufacture, (2005) 46, 1 – 8.
- H. El-Hofy, Advanced machining processes. McGraw-Hill, New York, 2005.
- P. Kuppan, A. Rajadurai,S.Narayanan, “Influence of EDM process parameters in deep hole drilling of Inconel 718”, International Journal of Advanced Manufacturing Technology, 38 (2008) 74–84.
- S. Dhanabalan, Sivakumar, K., Sathiya Narayanan, C “Optimization of machining parameters of EDM while machining Inconel 718 for form tolerance and orientation Tolerance”, Indian Journal of Engineering and Materials Sciences, (2013) 20 391–397.
- P.S Bharti, S. Maheshwari, C. Sharma, “Experimental investigation of Inconel 718 during die- sinking electric discharge machining”, International Journal of Engineering Science and Technology, vol. 2, (2010) 6464–6473.
- FabriziaCaiazzo, Luigi Cuccaro, Ilaria Fierro, Giuseppe Petrone, Vittorio Alfieri, “Electrical discharge machining of Rene 108 DS nickel superalloy for aerospace turbine blades”, Procedia CIRP,( 2015 ) 33 382 – 387.
- Deng, J. (1989) Introduction to grey system, Journal of Grey System, Vol.1, No.1, pp.1–24.
- S. Tripathy, D.K. Tripathy, Multi-attribute optimization of machining process parameters in powder mixed electro-discharge machining using TOPSIS and grey relational analysis, Engineering Science and Technology; An International Journal, 19 (2016) 62–70.
- Palanisamy, D, and P. Senthil. Optimization on turning parameters of 15-5PH stainless steel using Taguchi based grey approach and TOPSIS. Archive of Mechanical Engineering. 63(3), (2016) 397-412
- Application of Desirability Based Hybrid Anfis Model for Optimization of Electro Discharge Machining of Hastealloy C-276
Abstract Views :195 |
PDF Views:0
Authors
Affiliations
1 Department of Mechanical Engineering, Sree Vidyanikethan Engineering College, Tirupati, Andhra Pradesh, IN
1 Department of Mechanical Engineering, Sree Vidyanikethan Engineering College, Tirupati, Andhra Pradesh, IN
Source
Manufacturing Technology Today, Vol 17, No 7 (2018), Pagination: 32-43Abstract
Hastealloy C-276 is a difficult to machine superalloy and comprehensively employed in various engineering fields such as nuclear applications, aerospace and gas turbines. Hastealloy C-276 having better strength and poor thermal conductivity makes them difficult to machine materials which results in reduced life of the cutting tool and poor machinability by conventional methods of material removal. Advanced metal removal methods have evolved to accomplish those kind of needs and appealed to be an opposite alternative approach to traditional machining. Electro Discharge Machining (EDM) is considered as one of the nontraditional metal removal process which is especially adopted for machining of hard to machine materials. In this present investigation Spark Erosion Machining has been employed for machining of Haste Alloy C-276 with copper electrode by using Taguchi’s experimental design approach. Applied current (A), pulse on time (TON) and pulse off time (TOFF) were considered as the input process variables and the performance of spark erosion machining has been assessed by considering the performance measures such as material removal rate, surface roughness, overcut, form and orientation tolerance errors. The significance of process variables were analyzed by Analysis of Variance (ANOVA). Multi objective optimization has been performed by desirability function analysis to obtain better machining performance. In addition DFA based Adaptive Neuro Fuzzy Inference System (ANFIS) have been evolved to optimize the desired performance characteristics.Keywords
EDM, Haste Alloy, Taguchi’s Design, Desirability Function Analysis, ANFIS.References
- Ahilan, C; Kumanan, S; Sivakumaran, N: Multi-objective optimisation of CNC turning process using grey based fuzzy logic. 'Int. J. Mach. Mach. Mater.', vol.5, 2009, 434–451.
- Baraskar SS; Banwait, SS and Laroiya, SC: Multi-objective optimisation of electrical discharge machining process using Derringer’s desirability function approach, 'Int. J. Mater. Eng. Innova'., vol. 2, no. 3/4, 2011, 203-221.
- Bharti, PS; Maheshwari, S; Sharma, C: Experimental investigation of Inconel 718 during die- sinking electric discharge machining, 'Int. J. Eng. Sci. Technol'., vol. 2, 2010, 6464–6473.
- Derringer, G; Suich, R: Simultaneous Optimization of Several Response Variables, 'J. Quality Technol'., vol. 12, no. 4, 1980, 214-219.
- Dhanabalan, C; Sivakumar, K; Sathiya Narayanan, C: Optimization of machining parameters of EDM while machining Inconel 718 for form tolerance and orientation Tolerance, 'Indian J. Eng. Mater. Sci'., vol. 20, 2013, 391–397.
- Ho, KH; Newman, ST: State of the art electrical discharge machining (EDM), 'Int. J. Mach. tools and manuf'., vol. 43, 2003, 1287 – 1300.
- Jang, JSR; Sun, CT; Mizutani, E: Neuro-fuzzy and Soft Computing: A Comput. App. Learn. Mach. Intelligence, Prentice Hall, Upper Saddle River, NJ, 1997.
- Kuppan, P; Narayanan, S; Rajadurai, A; Adithan, M: Effect of EDM parameters on hole quality characteristics in deep hole drilling of Inconel 718 superalloy, 'Int. J. Manuf. Res'., vol. 10, no. 1, 2015, 45-63.
- Kuppan, P; Rajadurai, A; Narayanan, S: Influence of EDM process parameters in deep hole drilling of Inconel 718, 'Int. J. Adv. Manuf. Technol'., 38, 2008, 74–84.
- Lin, JL; Wang, KS; Yan, BH; Tarng, YS: Optimization of the electrical discharge machining process based on the Taguchi method with fuzzy logics, 'J. Mater. Process. Technol'., vol. 102, 2000, 48-55.
- Luis, CJ; Puertas, I; Villa, G: Material removal rate and electrode wear study on the EDM of silicon carbide, 'J. Mater. Process. Technol'., 165, 2005, 889–896.
- Pradhan, MK & Biswas, CK: Neuro-fuzzy and neural network-based prediction of various responses in electrical discharge machining of AISID2 steel “NF and NN based prediction of responses in EDM of D2 steel, 'Int. J. Adv. Manuf. Technol'., vol. 50(5-8), 2010, 591–610.
- Qu, NS; Hu, Y; Zhu, D; Xu, ZY: Electrochemical machining of blisk channels with progressive pressure electrolyte flow. Mater. Manuf. Process'. vol. 29, 2014, 572-578.
- Rupesh Kumar Pandey, SS Panda: Optimization of bone drilling parameters using grey-based fuzzy algorithm, Meas., vol. 47, 2014, 386–392.
- Pervaiz, Salman; Rashid, Amir; Deiab, Ibrahim; Nicolescu, Mihai: Influence of tool materials on machinability of titanium- and nickel-based alloys: A Review, 'Mater. Manuf. Process'., vol. 29, 2014, 219-252.
- Sengottuvel, P; Satishkumar, S; Dinakaran, D: Optimization of multiple characteristics of EDM parameters based on desirability approach and fuzzy modeling., 'Procedia Eng'., 64, 2013, 1069-1078.
- Suresh, P; Marimuthu, K; Ranganathan, S; Rajmohan, T: Optimization of machining parameters in turning of Al−SiC−Gr hybrid metal matrix composites using grey-fuzzy algorithm, 'Trans. Nonferrous Met. Soc. China', vol. 24, 2014, 2805−2814.
- Teimouri, R; Baseri, H; Moharami, R: Multiresponses optimization of ultrasonic machining process, 'J. Intel. Manuf'., vol. 26, 2015, 745-753.
- Caydas, Ulas; Hascalık, Ahmet; Ekici, Sami: An adaptive neuro-fuzzy inference system (ANFIS) model for wire-EDM, 'Expert Syst. Appl'., vol. 36, 2009, 6135–6139.
- Wu, Q: Serrated chip formation and tool-edge wear in high-speed machining of advanced aerospace materials, Utah State University, Logan, Utah, 2007.
- Xiaojiang Cai; Sheng Qin; Junli Li; Qinglong An; Ming Chen: Experimental investigation on surface integrity of end milling nickel based alloy - Inconel 718, 'Mach. Sci. Technol. Int. J'., vol. 18, 31-46
- Experimental Investigations on Wire Edm of AI-SiC Composite Using Taguchi’s Approach
Abstract Views :231 |
PDF Views:2
Authors
Affiliations
1 Department of Mechanical Engineering, Sree Vidyanikethan Engineering College Autonomous), Tirupati, Andhra Pradesh, IN
1 Department of Mechanical Engineering, Sree Vidyanikethan Engineering College Autonomous), Tirupati, Andhra Pradesh, IN
Source
Manufacturing Technology Today, Vol 17, No 9 (2018), Pagination: 12-20Abstract
The machinability study on Wire Electro Discharge Machining (WEDM) of Al6061/20%SiC has been investigated in the present exploration. The objective of this present investigation is to determine the best possible process parameter to obtain better machining performance during wire EDM of Al6061 matrix reinforced with 20 wt. % SiC which is fabricated through the stir casting processes. The machining parameters such as pulse on time, pulse off time (delay time) and servo voltage are deemed as input process variables. Rate of material removal and roughness of the machined surface were considered as performance measures under this investigation. Taguchi’s design of experiment approach has been adopted for designing the experimental runs and L9 orthogonal array has been selected for conducting the experiments. Analysis of Variance (ANOVA) is adopted for ascertaining the significance of process parameters. Taguchi’s response analysis has been employed to determine the ascendancy of process parameters and the optimum process parameters were determined to obtain better machining performance.Keywords
Al-SiC Composites, WEDM, Taguchi’s Approach, Orthogonal Array, ANOVA, Optimization.References
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- Muthukrishnan, N; Murugan, M; Rao, KP: Machinability issues in turning of Al-SiC (10p) metal matrix composites, 'The International Journal of Advanced Manufacturing Technology', 39(3-4), 2008, 211-218.
- Bhushan, RK; Kumar, S; Das, S: Effect of machining parameters on surface roughness and tool wear for 7075 Al alloy SiC composite. The International Journal of Advanced Manufacturing Technology, 50 (5-8), 2010, 459-469.
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