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    μECM process investigation considering pulse signal features and EDL capacitance

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    Authors
    Mortazavi, Mina
    Ivanov, Atanas
    Issue Date
    2019-05-22
    Subjects
    charging current
    electrochemical machining,
    electric double layer (EDL)
    μECM
    pulse signal
    Faradic current
    
    Metadata
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    Abstract
    Micro-electrochemical machining (μECM) is a controlled anodic dissolution process between electrodes. The anodic dissolution, which follows Faraday’s laws of electrolysis, depends on characteristics of the electrodes materials, electrolyte properties, and pulse signal features. μECM is a challenging multidisciplinary task in which quality of the process and features of the finished products depend on a complex relation between different machining parameters including, electrical features of pulse signal, chemical features of electrolyte, physical features of tools, and thermodynamic features of the process. In this paper, influential machining parameters will be reviewed briefly, and pulse signal features will be investigated and analyzed considering the behavior of the electrode-electrolyte interface. The interface has capacitive feature and plays an important role in micromachining performance. The proposed simulation work presents the requirement for the pulse on-time in order to provide the maximum possible charging-discharging time for the capacitive behavior of the electrode-electrolyte interface.
    Citation
    Mortazavi M, Ivanov A (2019) 'μECM process investigation considering pulse signal features and EDL capacitance', International Journal of Advanced Manufacturing Technology, 105 (11), pp.4621-4632.
    Publisher
    Springer
    Journal
    International Journal of Advanced Manufacturing Technology
    URI
    http://hdl.handle.net/10547/624687
    DOI
    10.1007/s00170-019-03864-2
    Additional Links
    https://link.springer.com/article/10.1007/s00170-019-03864-2
    Type
    Article
    Language
    en
    ISSN
    0268-3768
    ae974a485f413a2113503eed53cd6c53
    10.1007/s00170-019-03864-2
    Scopus Count
    Collections
    Computing

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