Enhancing the Machining Performance of EDM Process by using RSM

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Details

The present work investigated the EDM process by using the new approach in order to maximize MRR and minimize EWR by introducing conductive Column (CC) in the workpiece material. The analytical parameters such as voltage (V) and conductive column varied in a range and their effect was realized by using response surface methodology (RSM). The remaining process parameter remains constant throughout the experimentation. The work material is AISI 1025 steel (having moderate conductivity) and copper electrode having diameter 10mm were selected for the experimentation. The face centred composite designs of RSM have been made to optimize process parameters of Die sinking EDM with an objective to maximize the MRR and minimize the EWR. The effects of gap voltage and conductive column and their interaction on the basis of two responses such as MRR and EWR were investigated. The contour plots were generated to realize the effects on responses. ANOVA and regression test were also performed to differentiate the significant and insignificant terms. The multiple response optimization method based on desirability function approach (DFA) was applied to find optimum values of input parameters.

Autorentext

Dr. Kamaljit Singh Boparai has completed his Ph. D. in Mechanical Engineering from I K G Punjab Technical University Kapurthala in 2015. His main areas of interest are Metal cutting, Additive manufacturing, and CAD/CAM. He is the author of more than 20 publications in various national and international Journals.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783659936739
    • Genre Technology Encyclopedias
    • Anzahl Seiten 64
    • Herausgeber LAP Lambert Academic Publishing
    • Größe H220mm x B150mm
    • Jahr 2016
    • EAN 9783659936739
    • Format Kartonierter Einband
    • ISBN 978-3-659-93673-9
    • Titel Enhancing the Machining Performance of EDM Process by using RSM
    • Autor Kamaljit Singh Boparai , Deepak Malik
    • Sprache Englisch

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