About the Application of Fuzzy Controllers in High-Performance Die-Sinking EDM Machines
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Cited by (38)
Digital twins for electro-physical, chemical, and photonic processes
2023, CIRP AnnalsImproving electrical discharging machining efficiency by using a Kalman filter for estimating gap voltages
2017, Precision EngineeringCitation Excerpt :To design a gap width controller, it is important to build a dynamic model for EDM processes. Due to the difficulties in modeling EDM processes, fuzzy logic [9–11], neural networks [12,13], and genetic algorithm [14] are often used to model the dynamics of EDM processes and to help to design a gap width controller. Many researchers developed various servo controllers for EDM processes.
Adaptive control for EDM process with a self-tuning regulator
2009, International Journal of Machine Tools and ManufactureA time-varied predictive model for EDM process
2008, International Journal of Machine Tools and ManufactureApplication of genetic algorithm-based fuzzy logic control in wire transport system of wire-EDM machine
2008, Journal of Materials Processing TechnologyDesign and tuning of a fuzzy logic controller for micro-hole electrical discharge machining
2008, Journal of Manufacturing ProcessesCitation Excerpt :Fuzzy logic control for conventional machining processes has been studied [15,16] and is more popular in EDM research because it has faster response and higher stability [17] and can more accurately model real-world events by allowing the existence of uncertainty to simulate human reasoning [18]. The fuzzy logic controller [19–24] has demonstrated the capability to adaptively control the EDM process by handling highly nonlinear processes with only qualitative knowledge [18,25] and reduce the drilling time by minimizing the arc and short circuit pulses [6]. In this study, fuzzy logic control of the micro-hole EDM process is investigated.