Engineering Headway Vol. 1

Abstract: Milling is a widely used machining process for creating intricate parts with desired dimensions and surface quality. In this study, we investigate the effects of process parameters namely spindle speed, feed rate and depth of cut on the vibration behavior of a milling machine tool. The analysis begins by selecting appropriate cutting conditions for the milling operation. Various combinations of process parameters are considered to observe their influence on vibration of the tool. A series of experiments are conducted, with each experiment using a specific set of process parameters. The experimental trials were designed according to the factorial design. Accelerometer is employed to capture the dynamic behavior of the tool and quantify the amplitude and frequency of vibrations. The results can be utilized to optimize the machining parameters for enhanced surface quality in milling operations, leading to improved productivity, reduced tool wear and increased overall process efficiency.

Abstract: Extensive simulations applying the Monte Carlo Potts model were carried out on a twodimensional square lattice to evaluate the influence of higher lattice temperatures on grain growth kinetics and the Zener limit. A wide range of simulation temperatures (KTs) were applied on a matrixof size 1000² with Q-state 64. They were then dispersed with a wide range of second-phase particles and ran to 100,000 Monte Carlo steps. The critical temperature for a square lattice with eight nearest neighbors (8 NN) was established as KTs = 0.4, after evaluating several growth parameters, undersimulated thermal conditions. Simulations were then next run to stagnation, for higher temperatures up to the critical value of KTs, and various growth parameters were computed in the pinned state. The Zener limit was found to scale with the square root of the surface fraction of second-phase particleswhile varying exponentially with its fraction lying on the grain boundaries.

Abstract: The operation of a three-port power converter using a fractional-order proportional-integral-derivative (FOPID) controller is intended for use in PV and battery systems. These results encourage us to suggest utilizing a single-port power converter to regulate the output of Distributed Power Generation (DPG) systems including PV and battery. The system's power density and reliability both increase as a result of sharing power switches between the full-bridge DC-DC converter and the bidirectional-integrated converter. To ensure power equilibrium among the three ports across various operational scenarios, we outline an approach to managing energy and a control technique centered around FOPID, taking into account the advantages of battery management and Maximum Power Point Tracking (MPPT). To confirm the proper deployment of the MPPT control loop and battery charging/discharging monitoring loop under various circumstances, we simulated the intended DPG system using MATLAB/Simulink.