Utvidet returrett til 31. januar 2025

Parametric control in EDM and development of Mathematical correlations

Om Parametric control in EDM and development of Mathematical correlations

EDM is one of the unconventional machining process which is used widely in tooling sector. In EDM, it is necessary to optimize the process parameters such as pulse on-time, pulse off-time, discharge current and voltage for maximization of MRR and minimization of Tool Wear Rate (TWR) for various work piece materials. Titanium (Ti¿6Al¿4V) and HC-HCr Steel are considered for the experimentation in the present research as these are widely used aerospace, robotics, automotive and tooling sectors. DOE have been conducted at different levels of pulse on-time, pulse off-time, discharge current and voltage. The design of experiments is carried out by varying the input parameters and derived the optimal mathematical correlations to get maximum MRR and minimum TWR. Copper and EDM oil are used as electrode and di-electric fluid respectively. Experimental results of MRR and tool wear rate were analyzed with responses surface methodology and presented various graphs. Interaction effect of process parameters on the responses has been discussed. MR optimization technique was used to optimize process parameters for minimum surface roughness and tool wear rate and maximum MRR.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9786139452774
  • Bindende:
  • Paperback
  • Sider:
  • 152
  • Utgitt:
  • 14. februar 2019
  • Dimensjoner:
  • 229x152x9 mm.
  • Vekt:
  • 231 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 27. desember 2024
Utvidet returrett til 31. januar 2025

Beskrivelse av Parametric control in EDM and development of Mathematical correlations

EDM is one of the unconventional machining process which is used widely in tooling sector. In EDM, it is necessary to optimize the process parameters such as pulse on-time, pulse off-time, discharge current and voltage for maximization of MRR and minimization of Tool Wear Rate (TWR) for various work piece materials. Titanium (Ti¿6Al¿4V) and HC-HCr Steel are considered for the experimentation in the present research as these are widely used aerospace, robotics, automotive and tooling sectors. DOE have been conducted at different levels of pulse on-time, pulse off-time, discharge current and voltage. The design of experiments is carried out by varying the input parameters and derived the optimal mathematical correlations to get maximum MRR and minimum TWR. Copper and EDM oil are used as electrode and di-electric fluid respectively. Experimental results of MRR and tool wear rate were analyzed with responses surface methodology and presented various graphs. Interaction effect of process parameters on the responses has been discussed. MR optimization technique was used to optimize process parameters for minimum surface roughness and tool wear rate and maximum MRR.

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