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Multi-objective optimization of WEDM process parameters of Ti49.4-Ni50.6 shape memory alloy for orthopaedic implant application

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: This paper focuses on the investigation on the effect of process parameters such as pulse on time (Ton), pulse off time (Toff), spark gap set voltage (SV), wire feed (WF) and wire tension (WT) on the responses such as the material removal rate (MRR), surface roughness (SR), kerf width (KW) and dimensional deviations (DD) of Ti49.4Ni50.6 (at.%) shape memory alloy (SMA) machined by WEDM. Ti-Ni SMA has fascinating properties and biocompatibility, it is considered for the present work. Design/methodology/approach: As per the Taguchi technique, L18 orthogonal array experiments on WEDM have been performed. The signals to noise (S/N) ratio plots are analysed to determine the influence of process parameters. Analysis has been tested through analysis of variance (ANOVA). SEM images are taken to confirm the results offering better surface quality. Findings: It was observed that pulse on time is the most significant factor for MRR and SR with the contribution of 35.69% and 59.02% respectively. The SV is a significant factor for KW and DD with contributions of 47.35% and 30.03% at 95% confidence level. A multi-response optimization has been carried out using grey relational analysis (GRA) to determine the optimum combination of process parameters. It is shown that, through GRA the optimal machining parameter setting such as A2B1C3D2E1 i.e. (pulse on time of 115 machine unit, pulse off time of 20 machine unit, spark gap set voltage of 90 V, wire feed of 6 m/min and wire tension of 3 machine unit) has been observed for maximum MRR and minimum SR, KW and DD. Young’s modulus checked for biocompatibility. Research limitations/implications: Heat treatment process like annealing is found to be most suitable to recover shape memory effect of WEDMed samples.
Rocznik
Strony
12--31
Opis fizyczny
Bibliogr. 15 poz.
Twórcy
autor
  • Department of Mechanical Engineering, J.S.P.M.'S Rajarshi Shahu College of Engineering, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Department of Mechanical Engineering, College of Engineering, Pune, Savitribai Phule Pune University, Pune, Maharashtra, India
Bibliografia
  • [1] J.B. Saedon, N. Jaafar, M.A. Yahaya, N. Saad, M.S. Kasim, Multi-objective optimization of titanium alloy through the orthogonal array and grey relational analysis in WEDM, Procedia Technology 15 (2014) 832-840, DOI: https://doi.Org/10.1016/j.protcy.2014. 09.057.
  • [2] U.A. Dabade, S.S. Karidkar, Analysis of response variables in WEDM of Inconel 718 using Taguchi technique, Procedia CIRP 41 (2016) 886-891, DOI: https://doi.Org/10.1016/j.procir.2016.01.026.
  • [3] Y. Kaynak, H.E. Karaca, R.D. Noebe, I.S. Jawahir, The tool-wear analysis in cryogenic machining of NiTi shape memory alloys: A comparison of tool-wear performance with dry and MQL machining, Wear 306/1-2 (2013) 51-63, DOI: https://doi.org/10.1016/ j.wear.2013.05.011.
  • [4] H.C. Lin, K.M. Lin, Y.C. Chen, A study on the machining characteristics of TiNi shape memory alloys, Journal of Materials Processing Technology 105/3 (2000) 327-332, DOI: https://doi.org/10.1016/ S0924-0136(00)00656-7.
  • [5] K. Weinert, V. Petzoldt, Machining of NiTi based shape memory alloys, Materials Science and Engineering: A 378/1-2 (2004) 180-184, DOI: https://doi.Org/10.1016/j.msea.2003.10.344.
  • [6] M. Manjaiah, S. Narendranath, S. Basavarajappa, V.N. Gaitonde, Effect of electrode material in wire electro-discharge machining characteristics of Ti5oNi5o-xCux shape memory alloy, Precision Engineering 41 (2015) 68-77, DOI: https://doi.org/ 10.1016/j.precisioneng.2015.01.008.
  • [7] S.F. Hsieh, S.L. Chen, H.C. Lin, M.H. Lin, S.Y. Chiou, The machining characteristics and shape recovery ability of Ti-Ni-X (X = Zr, Cr) ternary shape memory alloys using the wire electro-discharge machining, International Journal of Machine Tools and Manufacture 49/6 (2009) 509-514, DOI: https://doi.Org/10.1016/j.ijmachtools.2008.12.013.
  • [8] S. Raghuraman, K. Thiruppathi, T. Panneerselvam, S. Santhosh, Optimization of EDM parameters using Taguchi Method and Grey Relational analysis for mild steel IS 2026, IJIRSET - International Journal of Innovative Research in Science, Engineering and Technology 2/7 (2013) 3095-3104.
  • [9] P.A. Shiva, K. Tamil Mannan, A. Krishnaiah, Parametric Optimization in Wire Electrical Discharge Machining of Titanium Alloy Using Response Surface Methodology, MaterialsToday: Proceeding 4/2A (2017) 1434-1441, DOI: https://doi.org/10.1016/j.matpr.2017.01.165.
  • [10] S.S. Mahapatra, A. Patnaik, Parametric optimization of wire electrical discharge machining (WEDM) process using Taguchi Method, Journal of the Brazilian Society of Mechanical Sciences and Engineering 28/4 (2006) 422-429, DOI: http://dx.doi.org/10.1590/S1678-58782006000400006.
  • [11] J.L. Lin, C.L. Lin, The use of the orthogonal array with grey relational analysis to optimize the electrical discharge machining process with multiple performance characteristics, International Journal of Machine Tools and Manufacture 42/2 (2002) 237-244, DOI: https://doi.org/10.1016/S0890-6955 (01)00107-9.
  • [12] C.L. Lin, J.L. Lin, T.C. Ko, Optimization of the WEDM process based on the orthogonal array with Fuzzy logic and grey relational analysis method, International Journal of Advanced Manufacturing Technology 19/4 (2002) 271-277, DOI: 10.1007/ S001700200034.
  • [13] U.A. Dabade, Multi-objective process optimization to improve surface integrity on thetumed surface of Al/SiCp metal matrix composites using grey relational analysis, Proceedings of the 46‘ CIRP Conference on Manufacturing Systems 2013, Procedia CIRP 7 (2013) 299-304, DOI: 10.1016/j.procir.2013.05.051.
  • [14] A.K. Zahid, A.S. Arshad, Z.K. Noor, K. Urfi, G.A. Quadir, Multi-response optimization of wire electrical discharge machining process parameters using Taguchi based Grey Relational Analysis, Procedia Materials Science 6 (2014) 1683-1695, DOI: https://doi.Org/10.1016/j.mspro.2014.07.154.
  • [15] K.-T. Chiang, F.-P. Chang, Optimization of the WEDM process of particle-reinforced material with multiple performance characteristics using grey relational analysis, Journal of Materials Processing Technology 180/1-3 (2006) 96-101, DOI: https://doi.Org/10.1016/j.jmatprotec.2006.05. 008.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-07a350f8-3f23-448a-a5bf-16835d8a6af2
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