In this study, path modification strategy is used to improve the accuracy of the die corner produced in wire electrical discharge machining process. Based on Taguchi’s L18 array, experiments are performed on Monel 400 alloy. The influence of the machine-controllable factors such as wire tension, open-circuit voltage, pulse-on time, pulse-off time and additional travel and uncontrollable factors namely corner angles and flushing nozzle height on the performance measures such as surface roughness, cutting speed, and corner error are studied. The outcome of this study reveals that the path modification value in terms of additional travel of 0.5 mm improves the corner accuracy of the profile by 35% as compared to the profile machined without adopting path modification strategy. The analyses of scanning electron micrographs are carried out. Finally, an optimal technological guideline is reported for ready industrial use.

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This paper presents the implementation of dual voltage source inverter (DVSI) approach to improve the microgrid performance by enhancing the power quality. This paper also improves the power quality in photovoltaic (PV) generation interactive microgrids, respectively. The power generated from PV based distributive energy resources (DER) is perfectly applied to the microgrid through the two inverters, thus the nonlinear and unbalance load related problems are compensated. Thus, the power quality problems such as voltage sag, current drops, and power factor, active, and reactive powers are reduced by dual multilevel converter (DMLC). This converter also used for cooperative controlling to minimize the unbalances and voltage harmonics in microgrid by using adaptive neuro fuzzy interface system (ANFIS) based controller, which is applied in the shunt and series manner between the two VSIs. The total load current is mutually shared among the series and shunt VSI, if one VSI fails, then the other VSI continues its operation. Thus, the DMLC components failure rate is reduced, and the system lost energy is also reduced, which leads to improved reliability by maintain the reduction of down time price at environmental free conditions. The proposed control model is implemented in MATLAB/Simulink environment, and the obtained results shows that the superiority of total harmonic distortion (THD) reduction by the proposed ANFIS controller as compared to the conventional artificial neural network (ANN) and fuzzy logic controllers (FLC) by eliminating all the load current and grid voltage-based harmonics.

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