Experimental modelling and optimisation of WECSC of polymer nanocomposite

References

• Xu J, Davim JP. Machining of Fibrous Composites: Recent Advances and Future Perspectives. In: Davim JP editor. Mechanical and Industrial Engineering. Springer, Cham: Materials Forming, Machining and Tribology; 2022. p. 161–177. DOI:10.1007/978-3-030-90487-6_6
   Google Scholar
• Rattan N, Mulik RS. Improvement in material removal rate (MRR) using magnetic field in TW-ECSM process. Mater Manuf Processes. 2017;32(1):101–107.
   Web of Science ®Google Scholar
• Gaitonde VN, Karnik SR, Rubio JC, et al. A study aimed at minimizing delamination during drilling of CFRP composites. J Compos Mater. 2011;45(22):2359–2368.
   Web of Science ®Google Scholar
• Tandon S, Jain VK, Kumar P, et al. Investigations into machining of composites. Precis eng. 1990;12(4):227–238.
   Google Scholar
• Yadav P, Yadava V, Narayan A. Experimental investigation of kerf characteristics through wire electrochemical spark cutting of alumina epoxy nanocomposite. J Mech Sci Technol. 2018;32(1):345–350.
   Web of Science ®Google Scholar
• Yadav P, Yadava V, Narayan A. Experimental investigation for performance study of wire electrochemical spark cutting of silica epoxy nanocomposites. Silicon. 2019;12(5):1–11.
   Web of Science ®Google Scholar
• Manna A, Narang V. A study on micro machining of e-glass–fibre–epoxy composite by ECSM process. Int J Adv Manuf Technol. 2012;61(9–12):1191–1197.
   Web of Science ®Google Scholar
• Sathisha N, Hiremath SS, Shivakumar J. Prediction of material removal rate using regression analysis and artificial neural network of ECDM process. Int J Recent Adv Mech Eng (IJMECH). 2014;3(2):69–81.
   Google Scholar
• Paul L, Korah LV. Effect of power source in ECDM process with FEM modeling. Procedia Technol. 2016;25:1175–1181.
   Google Scholar
• Mehrvar A, Basti A, Jamali A. Modeling and parameter optimization in electrochemical machining process: application of dual response surface-desirability approach. Lat Am Appl Res. 2017;47(3–4):157–162.
   Web of Science ®Google Scholar
• Bhondwe KL, Yadava V, Kathiresan G. Finite element prediction of material removal rate due to electro-chemical spark machining. Int J Mach Tools Manuf. 2006;46(14):1699–1706.
   Web of Science ®Google Scholar
• Chak SK, Rao PV. Machining of SiC by ECDM process using different electrode configurations under the effect of pulsed DC. Int J Manuf Technol Manage 4 and 25. 2014;28(1–3):39–56.
   Google Scholar
• Paul L, Hiremath SS, Ranganayakulu J. Experimental investigation and parametric analysis of electro chemical discharge machining. Int J Manuf Technol Manage 4 and 25. 2014;28(1–3):57–79.
   Google Scholar
• Mitra NS, Doloi B, Bhattacharyya B. Analysis of traveling wire electrochemical discharge machining of Hylam based composites by Taguchi method. Int J Res Eng Technol. 2014;2(2):223–236.
   Google Scholar
• Bhuyan BK, Yadava V. Experimental modeling and multi-objective optimization of traveling wire electrochemical spark machining (TW-ECSM) process. J Mech Sci Technol. 2013;27(8):2467–2476.
   Web of Science ®Google Scholar
• Behroozfar A, Razfar MR. Experimental and numerical study of material removal in electrochemical discharge machining (ECDM). Mater Manuf Processes. 2016;31(4):495–503.
   Web of Science ®Google Scholar
• Hajian M, Razfar MR, Movahed S, et al. Experimental and numerical investigations of machining depth for glass material in electrochemical discharge milling. Precis eng. 2018;51:521–528.
   Web of Science ®Google Scholar
• Rattan N, Mulik RS, Kaushik AJ, et al., 2022. Multi-objective optimization of TW-ECSM process parameters for machining of advanced non-conducting material.
   Google Scholar
• Davim JP, editor. Design of experiments in production engineering. Basel, Switzerland: Springer International Publishing; 2016.
   Google Scholar
• Davim JP, editor. Statistical and computational techniques in manufacturing. Vol. 8. London: Springer Science & Business Media; 2012. p. 1–54.
   Google Scholar
• Lodhi B, Agarwal S. Modeling of wire electrical discharge machining of AISI D3 steel using response surface methodology. Pulse. 2014;2:1.
   PubMedGoogle Scholar
• Majhi SK, Pradhan MK, Soni H. Optimization of EDM parameters using integrated approach of RSM, GRA and entropy method. Int J Appl Res Mech Eng. 2013;3(1):52–57. ISSN: 2231–5950. DOI:10.47893/IJARME.2013.1111.
   Google Scholar
• Wen KL, Chang TC, You ML, 1998, October. The grey entropy and its application in weighting analysis. In Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on (Vol. 2, pp. 1842-1844), San Diego, CA, USA. IEEE.
   Google Scholar