RAM Air and Wind Energy harvesting survey for Electrical Vehicles and transportation
This paper presents a survey on how the implementation of RAM Air/Wind Energy has the potential to become a feasible energy source by extending the range traveled for electric cars, Unmanned Aerial Vehicles (UAVs), trucks, and rail transports. Through the concepts of the Venturi Effect, the Bernoulli Principle, and the application of RAT in the aviation system, the main goal will be achieved. In due course, RAM Air/Wind Energy will bring about the future of electrical transportation.
UAV-Deployed Impulsive Source Localization with Sensor Network
The unmanned aerial vehicle (UAV) is a light weight flight system that can carry sensors and cameras for data collection. Tremendous excitement surrounds the use of UAVs because they can be deployed easily and rapidly for data collection; they also can be programmed to execute missions with high degrees of autonomy. For these reasons, UAVs hold promise in accelerating the collection of data in geophysical explorations. In this study, a UAV platform is explored for the collection of data from geophones deployed to measure the vibrations of a concrete slab foundation. The UAV is designed to drop a weight as a controlled energy source. Both the energy and location of the impulsive load are adjustable by the flight parameters of the UAV. The study adopts a time-domain analysis for source localization using the dense array of geophones
Flow of Incompressible Two-Phase Mixtures through Sharp-Edged Orifices:
Equations are developed for the flow of gas-liquid or vapour-liquid mixtures through sharp-edged orifices under conditions where the density change of the gas or liquid through the orifice is negligible. The theoretical development differs from previous treatments in allowing for the interfacial shear force between the phases, and leads to an equation which is shown to be in good agreement with available experimental evidence. The determination by experiment of a single coefficient characterizing the pipe and orifice arrangement permits the prediction of both the two-phase flow rate and the ratio of the phase velocities for a given pressure drop and gas-liquid weight ratio. The range of conditions examined extends over weight ratios of gas to total mixture from 0·1 to 98 per cent, and ratios of downstream to upstream pressures greater than 0·99. The accuracy of correlation of two-phase flow data is now approaching that of single-phase flow.