Earticle

The current LTE-Advanced system architecture tends to flatten and the data transfer rate of mobile communication system continues to increase, which needs to complete cell blind detect more accurate and quick, and indicates that the design of the LTE-A system terminal need to be updated. Therefore, this paper will find a new cell blind detect scheme, then designing a corresponding IP which considers the hardware performance, area, power and scalability from the perspective of ASIC implementation, and using ASIC tools to verification and logic synthesis. Implementation results show that the designed IP can be used for a mobile terminal chip design.

In the present work aluminum matrix composites (AMMCs), AA7075 Alloy as the matrix metal and Titanium carbide (TiC) particles (2-10%) with an average particulate size of 2μm as reinforced material were processed by stir casting route. Computerized pin on disc wear tester was used for wear test with counter surface as EN32 steel disc (58-60 HRC) and cylindrical pin as the composite specimens. The wear rate in terms of weight loss per unit sliding distance, coefficient of friction and volume loss were obtained for the matrix metal and composites. The results of composite shows better wear resistance than matrix metal. The microstructural characterization of worn surface was investigated using SEM. Weight loss of samples was calculated and the variation of cumulative wear loss with sliding distance has been found to be uniform for both the matrix metal and the composites. It was also observed that the wear rate is low for composites compared to matrix metal. Further, it was noted from the experimentation that the wear rate decreases with increasing weight fraction of TiC and coefficient of friction decreases with increasing sliding velocity and weight fraction of TiC. SEM-XRD analysis revealed the presence of TiC and other phases. The better wear properties (wear rate, coefficient of friction and wear factor) was observed with 8 wt% TiC composite compared to other composites as well as matrix metal.

Finite difference modeling of solidification of pure aluminum, Al 6063 and brass casting in green sand mould has been simulated. Unsteady heat conduction eq. in two-dimensional form governs the physical problem. Convective boundary conditions have been considered at the interface where molten metal meets the mould cavity surface. Heat conduction eq. in unsteady state and transient state have been solved by using Two dimensional finite analyses difference method using MATLAB to study thermal flow and cooling rate. The properties of materials utilized are green sand and pure Al, Al6063 and brass. The results obtained are: cooling rate of pure Aluminum, Al6063 and brass in green sand mould for 2D casting for unsteady problem and temperature distribution in steady case.

The paper represents an evolutionary algorithm (EA) solution to the unit commitment problem for Virtual Power Plants. EAs are general optimization techniques based on principles inspired from the biological evolution, using metaphors of mechanism such as natural selection, genetic recombination and survival of the fittest. One of EA implementation using the standard crossover and mutation operators could locate near optimal solution. Theoretical results and expectations are proved through simulations of a realistic scenario.

In this study, we investigated the induced magnetic field and nonlinear thermal radiation effects on Casson fluid flow over a cone in the presence of chemical reaction. The coupled non-linear transformed governing equations are solved numerically using Runge-Kutta based shooting technique. We obtain good accuracy of the new results by comparing with the published results. In this study we presented dual solutions for opposing and assisting flows over a cone. The influence of dimensionless parameters on velocity, temperature and concentration profiles along with the friction factor coefficient, local Nusselt and Sherwood numbers are discussed with the help of graphs and tables. It is observed that the effect of induced magnetic field is highly significant while controlling the flow field.

This paper provides the design steps of a multivariable Adaptive Generalized Predictive Controller AGPC whose duty is to drive a micro-hydro power system that comprises a hydraulic turbine driving a synchronous generator which is connected to an infinite bus via a step-up transformer and a transmission line. The simulation model of the part turbine/generator of micro-hydropower plant was constructed based on mathematical equations that summarize the behavior of the micro-hydro power plant. Multivariable AGPC is considered here because of its wide use in the industry and also at universities, showing good performance and a certain degree of robustness. In this study, the standard multivariable (GPC) algorithm is presented. The model parameters are estimated using an identification algorithm based on Recursive Least Squares (RLS) method. In order to validate the effectiveness of AGPC, simulation studies for the part turbine/generator of micro hydropower plant are used. Encouraging results are obtained that motivate for further investigations.