• DocumentCode
    724061
  • Title

    A study of EDM machine waveform monitoring and nano silver manufacturing process optimization

  • Author

    Kuo-Hsiung Tseng ; Heng-Lin Lee ; Juie-Long Chiu ; Der-Chi Tien ; Yi-Syuan Kao

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    1497
  • Lastpage
    1501
  • Abstract
    The advantage of applying the EDM (electric discharge machine) in the preparation of nano-fluids is that it does not require chemicals, unlike other nano-manufacturing methods that use chemicals to increase particle stability. Moreover, the operation of EDM is simple and without complex processes. This study proposes a discharge success rate measurement system to determine discharge effectiveness and seek the optimal discharge control parameter settings. Its advantage is the ability to observe the success rate curve every 0.1 seconds to learn the discharge quality. Studies of nano silver have suggested that the same duty cycle, shorter discharge, and repose can result in a higher success rate. When Ton uses 10μs as the fixed value, and only the ratio of Toff increases, the success rate of 10-100μs is the highest. Without the pursuit of processing speed, the setting of 10-100μs of a high discharge success rate is the optimal parameter setting.
  • Keywords
    electrical discharge machining; nanofabrication; nanofluidics; nanoparticles; optimal control; silver; Ag; EDM machine waveform monitoring; discharge effectiveness; discharge quality; discharge success rate curve; discharge success rate measurement system; duty cycle; electric discharge machine; nanofluid preparation; nanosilver manufacturing process optimization; optimal discharge control parameter settings; optimal parameter setting; particle stability; Absorption; Discharges (electric); Electrodes; Nanoparticles; Silver; Sparks; EDM machine; discharge waveform; nano silver;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162156
  • Filename
    7162156