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    • Adaptive Energy Management in Microgrid Based on New Training Strategy for ANFIS
    Authors: M. Elsisi; Minh-Quang Tran; Vu, Thi Lien; Nguyen, Thi Thanh Nga;  Advisor: -;  Co-Author: - (2022)

    Managing procedure for charging and discharging battery system plays an essential contributor in improving the performance of energy storage system for example increment of utilizing batteries. This paper aims to develop a new hybrid genetic algorithm-based proportional integral (GA-based PI) controller with an adaptive neuro-fuzzy inference system (ANFIS) for the charging balance of batteries. The dataset is generated by using the GA-based PI controller, then a training strategy is introduced for the ANFIS controller. The proposed approach is evaluated by the GA-based PI controller and the PI controller based on Ziegler Nichols method.
    • Modeling of Five-Axis Ball-End Milling with Tool Orientation Effects
    Authors: Minh-Quang Tran; Vu Thi Lien; Meng-Kun Liu; Thi Thanh Nga, Nguyen;  Advisor: -;  Co-Author: - (2022)

    An accurate and fast estimation of cutting forces is necessary for improving the performance of five-axis milling. However, the engagement between cutter and workpiece is very complex and irregular, it represents the main challenge for the prediction of cutting forces. This research aims to present a cutting force model of five-axis ball end milling, in which the effects of lead and tilt angles are investigated. The simulation results show that the resultant cutting force and total engagement area between cutter and workpiece are increased rapidly when the tilt and lead angles are close to zero. The cutting forces under different tool orientations are analyzed. The results of the prop...