A fuzzy logic control approach to electrochemical machining (ECM)

V. Keasberry, Ashraf Labib, J. Atkinson, H. Frost

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

    Abstract

    Electrochemical machining (ECM) is a manufacturing process that offers a number of advantages (e.g. no mechanical stress) over its nearest competitors as certain trends in production move towards the micro scale. Maintaining optimum ECM process conditions ensures higher machining efficiency and performance. This paper presents the development of a fuzzy logic controller to add intelligence to the ECM process. An experimental ECM drilling rig at UMIST was improved through the integration of a fuzzy logic controller into the existing control system, which control the feed rate of the tool and the flow rate of the electrolyte. The objective of the fuzzy logic controller was to improve machining performance and accuracy by controlling the ECM process variables. The results serve to introduce innovative possibilities and provide potential for future applications of FLC in ECM. Hybrid controllers that integrate fuzzy logic into the control system allow for intelligence to be incorporated into ECM controllers. As the future of ECM moves into electrochemical micromachining (EMM), the need for process uncertainty control in this area may be met by FLC, which has advantages over conventional methods of process control.
    Original languageEnglish
    Title of host publicationProceedings of the 34th international MATADOR conference
    EditorsS. Hinduja
    Place of PublicationLondon
    PublisherSpringer
    Pages153-160
    Number of pages8
    ISBN (Print)1852338806
    Publication statusPublished - 23 Sep 2004

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