Electro-discharge machining removes metal with very short lived electric pulses between electrode and workpiece which are immersed in dielectric liquid. With limited feedback available to the operator, the process is very difficult to approach and maintain efficient machining performance. A systematic approach is taken here by applying incomplete process information for off-line process planning and by minicomputer technology for on line adaptive control. Off-line process planning determines the optimal current level and pulse duration for the roughing and finishing. By sensing down feed and pulse efficiency, on line adaptive control adjusts servo voltage and off time. Experimental investigations with two repetitions show that the system can complete the job with a shorter machining time by detecting and responding more efficiently to disturbances in the process than manual control.
Electrical Discharge Machining (EDM) process is a widely used machining process in several fabrication, construction and repair work applications. Considering Pulse-On Time, Pulse OFF time, Peak-Current and Gap voltage as the inputs and among all possible outputs, in the present work Material Removal Rate and Surface Roughness are considered as outputs. In order to reduce the number of experiments Design of Experiments (DOE) was undertaken using Orthogonal Array and later on the outputs were optimized using ANN and PSO. It was found that the results obtained from both the techniques were tallying with each other.
A simple method for real-time estimation of the parameters which characterize the relation between cutting force and feed in turning is described. The method produces very accurate results which make it suitable for use in Adaptive Control Constrain (ACC) and Adaptive Control Optimization (ACO) systems. In both cases, models describing different cutting process variables are assumed in which constants are predetermined by off-line experiments. The described method will make it possible to determine these constants on-line.
Electrical Discharge Machining (EDM) process is a widely used machining process in several fabrication, construction and repair work applications. Considering Pulse-On Time, Pulse OFF time, Peak-Current and Gap voltage as the inputs and among all possible outputs, in the present work Material Removal Rate and Surface Roughness are considered as outputs. In order to reduce the number of experiments Design of Experiments (DOE) was undertaken using Orthogonal Array and later on the outputs were optimized using ANN and PSO. It was found that the results obtained from both the techniques were tallying with each other.
Discussion: “A Systematic Approach to the Adaptive Control of the Electro-Discharge Machining Process” (Tseng, M. M., 1978, ASME J. Eng. Ind., 100, pp. 303–309)