Parametric optimization of ECM process parameters by MOORA method
The selection of optimum machining condition, during electro chemical machining process is of great concern in manufacturing industries these days the increasing quality demands, at higher productivity levels; require the electro chemical machining process to be executed more efficiently. Specifically, the MRR needs to be maximized while controlling the power consumption. In this study mild steel is used as a work piece, tool size is used 1.8×1.8 cm and distilled water is used as a dielectric fluid. For experimentation Taguchi’s orthogonal array has been used. The input parameters selected for optimization are voltage, feed rate, electrolyte concentration. Parametric optimization technique is completed using MOORA method and found best parametric combination for both responses.
A combination of different electric energy supply with different feature is designed for high acceleration and high ranges and improves the whole system properties. Energy supply system with energy hybridization of high energy and high power need an intelligent management system in order to control power and state of charge. In this paper we proposed a fuzzy prediction control strategy of energy management system (EMS) based on a new forward-looking and causal structure model. This control strategy is mainly consisted of three controllers, including SOC prediction controller, recharge controller and power allocation controller. Simulation result shows that the driving range, the fuel economy and efficiency of fuzzy prediction control strategy have rapidly improvement compared with simple allocation (look-up table) control strategy. In the next step we will apply this control strategy with actual EV through "dspace autobox".