In this work a simple new type of flow sensors was developed, the double coil flow sensor. In this sensor two coils are magnetically coupled due to the flow of pure water inside them. The first coil, the primary coil, was supplied by AC voltage in the frequency range 0.5-1 MHz which is the coupling range of frequency for water. The voltage in the second coil, was found to be directly proportional with the volumetric flow rate of the water flowing inside the coils. The two coils can only be coupled in the laminar flow region. In the turbulent region, due to the turbulent chaos and fluctuation the two coils cannot be effectively coupled, and therefore the sensor cannot be used. The temperature of the water was found to have a negligible effect on the coupling, which add a good advantage to the simplicity of the double coil sensor. The working fluid used in this work was pure water. Other fluids are believed to be working as well, most probably at different frequency range, and this will be the subject of future work.
The present study aims at producing diesel out of algae. The production of biodiesel was performed at Tafila Technical University laboratories. The algae were brought from Almansora stream at Tafila governorate-Jordan and afterwards dried in an oven at 80 ºC for 12 hours. The dried algae were ground using disc mill until powder was obtained. The powdered algae underwent a distillation process with the addition of iron sulphate hydrate to the algae using a distillation column in order to extract the oil. Methanol was added to the oil, which was obtained from the distillation and using potassium hydroxide as a catalyst, the product was then separated in a funnel for about 10 hours until two layers of the solution were obtained; the organic layer represents the biodiesel. The biodiesel attributes are similar to the diesel oil, except that it reduces the emission of carbon dioxide CO 2 and there is no emission of sulphur dioxide SO 2 .
One of the most important challenges in fluid mechanics, gas dynamics, and hydraulic machinery fields is measuring the flow velocity with high accuracy. It is more important in large systems; such as thermal power stations, large scale power generations, and combined cycle power plants. The exact estimation of the measurement uncertainty inflow velocity is extremely important in evaluating the accuracy of the measurement. This work describes the problem of estimating measurement uncertainty when there are two or more dominant components of the uncertainty budget. . Two methods, analytical and numerical methods are used to study the comparative analysis for the results of determining the expanded uncertainty of measurement using two methods: analytical method and the numerical method. The analytical method uses the law of uncertainty propagation and is based on the estimation of uncertainty values of type A and B, while the numerical technique depends on the evaluation of measured samples by the Monte Carlo method using a random number generator. The aim of this article is to show the Monte Carlo method as an alternative way to determine the distribution of individual components of the measurement uncertainty budget. Also, the measurement of liquid flow velocity by an ultrasonic method has been analyzed, which is commonly used due to high measurement accuracy and non-invasiveness. Due to the complexity of the equation defining the measured flow velocity, determining the measurement uncertainty is not an easy task.
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