Understanding Bernoulli’s principle through simulations

Faulkner, Brian; Ytreberg, F. Marty

doi:10.1119/1.3533216

Cited by 27 publications

(12 citation statements)

References 3 publications

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“…The swollen side has a more tremendous flow rate due to being squeezed by air than the other side. According to Bernoulli's principle [17], the higher the velocity, the lower the pressure, so the pressure difference between the two sides will generate a force F perpendicular to the sail. The force F is decomposed into the forces F A , F B .…”

Section: Description Of Hrf and Kinetic Model A Description Of Hrfmentioning

confidence: 99%

A Hybrid Forecasting Model for the Velocity of Hybrid Robotic Fish Based on Back-Propagation Neural Network With Genetic Algorithm Optimization

2020

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Marine unmanned vehicle is a novel robot widely used in ocean observation, and its accurate control is of significance to their path planning. We want to find a method to predict the velocity and course of this robot, which can help us realize the accurate control of it. The paper proposed a promising type of hybrid robotic fish (HRF), which can realize two kinds of motion modes on the sea surface. Firstly, the configuration and dynamic model of the HRF were analyzed elaborately. Then, to realize accurate velocity prediction under two kinds of motion modes of HRF, the influence factors are presented in a complex marine environment. Based on the influence factors to its maneuverability, such as wind or wave parameters, a velocity prediction algorithm based on back-propagation neural network (BPNN) was introduced. However, BPNN has the disadvantages of extended learning and training time, easily falling into local optimum. Then we found that genetic algorithm (GA), which is a kind of evolutionary algorithm, is suitable for our problem. Therefore, the accuracy and efficiency of the prediction algorithm were improved by adopting the genetic algorithm to optimize the weight and threshold of BPNN. Taking the experimental data from the pool test, the back-propagation neural network with genetic algorithm (GA-BPNN) forecasting model was established. Besides, the other prediction methods were compared and evaluated under the same assessment criterion to validate the proposed forecasting model. The experimental results demonstrate that the GA-BPNN model has higher accuracy and efficiency compared with other prediction algorithms, which verifies the feasibility of the velocity prediction model for hybrid robotic fish in complex ocean environments.

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Section: Description Of Hrf and Kinetic Model A Description Of Hrfmentioning

confidence: 99%

A Hybrid Forecasting Model for the Velocity of Hybrid Robotic Fish Based on Back-Propagation Neural Network With Genetic Algorithm Optimization

2020

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“…The major difference between the designed system in this study and the other studies is the varying crosssectional area in the system. The reduction in cross sectional area helps increasing the velocity of air while passing through the system and reduces the pressure [16]. The purpose of this is to increase the amount of air getting in contact with the cold surface.…”

Section: System Integrationmentioning

confidence: 99%

Sustainable Water Harvesting from the Atmosphere Using Solar-Powered Thermoelectric Modules

Koç¹,

Koc²,

Gok³

et al. 2020

Pol. J. Environ. Stud.

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The purpose of this study was to investigate the possibility of solar-powered thermoelectric elements (Peltier) to harvest water from the atmosphere. An Arduino-controlled model capable of harvesting water from air was designed and used in laboratory experiments. The developed prototype system was analyzed by using a package program using computational fluid dynamics. During the experiments, temperature and humidity data were recorded on a computer. We found that the Peltier used in the system developed temperature and relative humidity differences between the inlet air and outlet air from the system. These differences in temperature and humidity created an environment for harvesting water by condensing the humidity in air.

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“…Taking into account the terms h v = v 2 /2 g , ψ = P / γ f , and z elevation = z are the velocity head (represents the internal energy of the fluid due to its motion (or dynamic pressure), expressed as a length measurement), pressure head (represents the internal energy of the fluid due to the exerted hydrostatic pressure, expressed as a length measurement), and elevation head (represents the potential energy of the fluid due to its elevation with respect to a reference plane, expressed as a length measurement), respectively, a simple relationship can be obtained for incompressible fluids as follows :

z_{e l e v a t i o n} + h_{v} + ψ = C

…”

Section: Mathematical Backgroundmentioning

confidence: 99%

“…Within the scope the present study, water drainage problem (a special case of the Bernoulli's principle, which is one of the most fundamental topics in Fluid Mechanics course) was chosen as an example application for the proposed IMECE method. This model system is an ideal student application, since the theory and programming are straightforward, as well as the experimental and computational costs are inexpensive . In the following subsections, three different tank geometries (vertical cylindrical, conical, and spherical) were considered for the problem of water discharge time, and the solution equations for each system were obtained by writing the continuity equation for the corresponding flow system.…”

Section: Mathematical Backgroundmentioning

confidence: 99%

IMECE—Implementation of mathematical, experimental, and computer‐based education: A special application of fluid mechanics for civil and environmental engineering students

Yetilmezsoy

2017

Comp Applic In Engineering

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A novel educational methodology, Implementation of Mathematical, Experimental, and Computer‐based Education (IMECE), where its name was derived from the letters of the word “imece” (a Turkish tradition) by taking into account the integrative meaning of this cultural concept, was proposed to explore the synergistic effect of the conventional mathematical solution procedure, visual application, and MATLAB‐based simulation on the perceptions and learning quality of the engineering students. Within the scope the present research carried out both at the state university (undergraduate and graduate levels) and at the foundation university (undergraduate level), water discharge problem (a special case of the Bernoulli's principle/Toricelli's law) was chosen as an example application. In the study, the experimental results of three different tank models (vertical cylindrical, conical, and spherical) and the solution algorithms written in MATLAB were presented in detail, and new empirical equations were also developed for each laboratory scale system depending on the experimental data. The effectiveness of the proposed IMECE method was evaluated statistically within the framework of both “Student Survey” and “Student Assessment” conducted with the participation of 84 students. Based on the mean scores obtained for all participating students, the results of the statistical tests indicated that the quantitative performance (or effectiveness) of the applied IMECE methodology was determined as 97.73%, 67.36%, and 82.55% for the perception/satisfaction section, the learning section, and the overall evaluation category, respectively.

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Understanding Bernoulli’s principle through simulations

Cited by 27 publications

References 3 publications

A Hybrid Forecasting Model for the Velocity of Hybrid Robotic Fish Based on Back-Propagation Neural Network With Genetic Algorithm Optimization

A Hybrid Forecasting Model for the Velocity of Hybrid Robotic Fish Based on Back-Propagation Neural Network With Genetic Algorithm Optimization

Sustainable Water Harvesting from the Atmosphere Using Solar-Powered Thermoelectric Modules

IMECE—Implementation of mathematical, experimental, and computer‐based education: A special application of fluid mechanics for civil and environmental engineering students

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