Controlling Electrochemical Machining By Using a Fuzzy Logic Approach
الموضوعات :
Morteza Sadegh Amalnik
1
(
Assistant Professor of Mechanical Engeeniring and Director of Environment Research Center, University of
Qom, Iran
)
الکلمات المفتاحية: Fuzzy logic, Expert System, Electrochemical Machining (ECM),
ملخص المقالة :
New trends and the effect of key factors influence the quality of the holes produced by ECMprocesses. Researchers developed a fuzzy logic controller by adding intelligence to the ECMprocess. Maintaining optimum ECM process conditions ensures higher machining efficiency andperformance. This paper presents the development of a fuzzy logic controller to add intelligence tothe ECM process. An experimental ECM drilling was improved through the integration of a fuzzylogic controller into the existing control system. Matlab (Fuzzy Logic Toolbox) was used to build afuzzy logic controller system, which controls the feed rate of the tool and the flow rate of theelectrolyte. The objective of the fuzzy logic controller was to improve machining performance andaccuracy by controlling the ECM process variables. The results serve to introduce innovativepossibilities and provide potential for future applications of fuzzy logic control (FLC) in ECM.Hybrid controllers that integrate fuzzy logic into the control system allow for "human like"decision-making intelligence to be incorporated into ECM controllers.
