Fuzzy model-based optimal energy control during the electrical discharge machining

This research aimed to describe a fuzzy optimal energy control strategy, so the electrical discharge machining (EDM) process can be optimized as a whole. The purpose is to develop a fuzzy logic-based multi-input–multi-output optimal control system to characterize the discharge energy efficiency of the EDM process. Methodology used in this paper is specific experimental design covering final and rough operations. Two controllable parameters were selected, and they were discharge current and pulse duration. The discharge energy and material removal rate were chosen as quality characteristics. The proposed approach uses the concept of fuzzy optimal control which is formulated on the basis of fuzzy logic technology with the use of knowledge-based system control. The finding that resulted in this research is that the effect of the discharge energy developed was observed on the performance of material removal rate. The material removal of the electrical discharge is directly proportional to the amount of the discharge energy applied during the on time of the pulse. The experimental results revealed that the effect of the EDM is increased as electrical discharge input parameters increase, but their interaction is limited and still somewhat unclear. The fuzzy optimal control model provides a highly advantageous option of the EDM input parameters, to achieve the best machining performance: the minimum discharge energy and the maximum material removal rate.