Optimization of Parameters in WEDM Using CCF Design

  • Authors

    • Bharathi. P.
    • Srinivasara G.
    • Gopalakrishnaiah P.
    2018-12-19
    https://doi.org/10.14419/ijet.v7i4.41.24297
  • WEDM, Modeling, Optimization, Surface Roughness (SR), Material Removal Rate(MRR).
  • The research work is to investigate the influence of WEDM process parameters such as pulse on time(Ton),pulse off time(Toff), peak current (IP), servo voltage (SV), and wire feed (WF) on response parameters as Material Removal Rate (MRR), Surface roughness(SR). Experimentation work carried out on Titanium 5 Grade work material with tool electrode as annealed brass wire.  Every process parameter was set at three levels and the output variables were Surface roughness (SR) and Material removal rate (MRR). Central Composite Face centered (CCF) design was used to conduct the experiments. According to the experimental results the model equations for SR and MRR were developed using multiple linear regression.  Modeling and optimization of process parameters had been performed with the help of model equations, level means and response graphs. From the analysis it was identified that the effect of servo voltage on surface roughness  and pulse on time for  MRR is more significant.

     

     

  • References

    1. [1] Gosh,A., & Mallik, A.K. (1985). Manufacturing science. New Delhi: Affiliated East West Press Private Limited.

      [2] E.P.DeGarmo, J.T.Black, R.A.Kohser, (1997) “Materials and processes in manufacturingâ€, Prentice-hall INc., New Jersey.

      [3] Pandey, p.c.,&Shan, H.S.(1980). “ Modern machining processesâ€. New Delhi: Tata McGraw Hill.

      [4] J.R Myers,H.B.Bomberger,and F.H.Froes (1984) “ Corrosion behavior and use of titanium and its alloysâ€,Journal of metals.

      [5] Xiaoping Yang, C.Richard Liu., (2012) Machining Titanium and its alloys. Machining science and technology, 3(1), pp:107-139.

      [6] Sourav Ghosh, Prosun Mandal,Subhas Chandra Mondal (2017) “ Application of Simulated Annealing for the Optimization of Process Parameters in WEDM Process for Machining 201LN Stainless Steelâ€. International conference on advances in echanical ,Industrial,Automation and Management System (AMIAMS).

      [7] Sunil Kumar , ParveenKumar., (2016) “Optimization of machining characteristics in WEDM of AISI D2 tool steel using taguchi methodâ€. International journal of Industrial electronics and electrical engineering 4 pp: 2347-6982.

      [8] Srinivasarao.G, Suneel.D (2018) “ Parametric Optimization of WEDM on α-β Titanium alloy using Desirability Approachâ€. Materials Today: Proceedings 5 pp: 7937-7946.

      [9] Srinivasarao.G, Santhipriya P, Suneel.D, (May-2016) “Modelling of surface roughness for AISI 52100 steel in WEDM by Design of Experimentsâ€. International Journal of Engineering Research& Technology (IJERT) ISSN: 2278-0181 Vol. 5 Issue 05.

      [10] P.Bharathi, T.G.L.Priyanaka, G. Srinivasa Rao, B.Nageswara Rao.,(2017) “Optimum WEDM Process parameters of SS304 using Taguchi Methodâ€. International journal of industrial and manufacturing system engineering.3 pp:69-72.

      [11] Yunn-Shiuan Liao, Tzung-Jen Chuang, Young-Ping Yu. (2014) “Study of machining parameters optimization for different materials in WEDMâ€. Int J Adv.Manuf Technol 70 pp: 2051-2058.

      [12] R.Ramakrishnan, L.Karunamoorthy.,(2008)“Modeling and multi-response optimization of Inconel 718 on machining of CNC WEDM processâ€. Journal of materials processing technology 207 pp: 343-349.

      [13] Amitesh Goswami , Jatinder Kumar., (2014) “ Investigation of surface integrity, material removal rate and wire wear ratio for WEDM of Nimonic 80A alloy using GRA and Taguchi methodâ€. Engineering Science and Technology, an International Journal 17 pp: 173-184.

      [14] ATI , Technical Data Sheet, (2012). ATI Ti-6Al-4V, grade 5, version 1, Pittsburg, USA, pp:1-4

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  • How to Cite

    P., B., G., S., & P., G. (2018). Optimization of Parameters in WEDM Using CCF Design. International Journal of Engineering & Technology, 7(4.41), 47-49. https://doi.org/10.14419/ijet.v7i4.41.24297