• Title of article

    Multiple performance characteristics optimization for Al 7075 on electric discharge drilling by Taguchi grey relational theory

  • Author/Authors

    Khanna، Rajesh نويسنده , , Kumar، Anish نويسنده Department of Mechanical Engineering, Maharishi Markandeshwar University, Mullana, Ambala 133203, Haryana, India , , Pal Garg، Mohinder نويسنده Department of Mechanical Engineering, Maharishi Markandeshwar University, Mullana, Ambala 133203, Haryana, India , , Singh، Ajit نويسنده Department of Mechanical Engineering, Maharishi Markandeshwar University, Mullana, Ambala 133203, Haryana, India , , SHARMA، NEERAJ نويسنده ,

  • Issue Information
    فصلنامه با شماره پیاپی 27 سال 2015
  • Pages
    14
  • From page
    459
  • To page
    472
  • Abstract
    Electric discharge drill machine (EDDM) is a spark erosion process to produce micro-holes in conductive materials. This process is widely used in aerospace, medical, dental and automobile industries. As for the performance evaluation of the electric discharge drilling machine, it is very necessary to study the process parameters of machine tool. In this research paper, a brass rod 2 mm diameter was selected as a tool electrode. The experiments generate output responses such as tool wear rate (TWR). The best parameters such as pulse on-time, pulse off-time and water pressure were studied for best machining characteristics. This investigation presents the use of Taguchi approach for better TWR in drilling of Al-7075. A plan of experiments, based on L27 Taguchi design method, was selected for drilling of material. Analysis of variance (ANOVA) shows the percentage contribution of the control factor in the machining of Al-7075 in EDDM. The optimal combination levels and the significant drilling parameters on TWR were obtained. The optimization results showed that the combination of maximum pulse on-time and minimum pulse off-time gives maximum MRR.
  • Journal title
    Journal of Industrial Engineering International
  • Serial Year
    2015
  • Journal title
    Journal of Industrial Engineering International
  • Record number

    2385777