Parametric control in EDM and development of Mathematical correlations

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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.

Autorentext

Macharla Srinivasa Rao has over 19 years of industry experience in Research and Development. He has worked for several organizations in various capacities in India and abroad. He is expert in ERP, Data ware housing and BI and led many projects in that area. He holds a BE from A.U. and ME from Bharathiar University.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786139452774
    • Sprache Englisch
    • Genre Maschinenbau
    • Anzahl Seiten 152
    • Größe H220mm x B150mm x T10mm
    • Jahr 2019
    • EAN 9786139452774
    • Format Kartonierter Einband
    • ISBN 6139452775
    • Veröffentlichung 14.02.2019
    • Titel Parametric control in EDM and development of Mathematical correlations
    • Autor Srinivasa Rao Macharla , Sivanaga Malleswararao Singu
    • Gewicht 244g
    • Herausgeber LAP LAMBERT Academic Publishing

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