• DocumentCode
    1776620
  • Title

    A retrospective study based on the soft computing approach in combined Ultrasonic Assisted Electrical Discharge Machining

  • Author

    Sudhakar, D. ; Dev Anand, M. ; Gopu, P.

  • Author_Institution
    Dept. of Mech. Eng., Indian Eng. Coll., Tirunelveli, India
  • fYear
    2014
  • fDate
    10-11 July 2014
  • Firstpage
    1487
  • Lastpage
    1494
  • Abstract
    Machining of super alloys, composite materials and some high strength hard to machine materials by using Electrical Discharge Machining (EDM) produces poor quality surface finish. Ultrasonic Assisted Electrical Discharge Machining (USEDM) is one of the advanced hybrid type unconventional machining processes is developed to overcome the above quality problems. The ultimate aim of this paper is to conduct a literature survey in USEDM operations used by researchers among different applications using various materials. Also took a deep review in different prediction and optimization techniques used by researchers to obtain the optimal input parameters setting for getting an optimal solution in machining area.
  • Keywords
    composite materials; electrical discharge machining; mechanical strength; optimisation; ultrasonic machining; USEDM operations; advanced hybrid type unconventional machining processes; combined ultrasonic assisted electrical discharge machining; composite materials; high strength hard-to-machine materials; optimal solution; optimization techniques; poor quality surface finish; prediction techniques; soft computing approach; super alloys; Acoustics; Discharges (electric); Electrodes; Genetic algorithms; Machining; Mathematical model; Optimization; Optimization; Prediction; Ultrasonic Assisted Electrical Discharge Machining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014 International Conference on
  • Conference_Location
    Kanyakumari
  • Print_ISBN
    978-1-4799-4191-9
  • Type

    conf

  • DOI
    10.1109/ICCICCT.2014.6993195
  • Filename
    6993195