Simulink model of an iductive MHD generator

2017 ◽  
Vol 53 (2) ◽  
pp. 255-266 ◽  
Author(s):  
S. Carcangiu ◽  
R. Forcinetti ◽  
A. Montisci
Keyword(s):  
Mhd Generator ◽  
Simulink Model

Design, Development and Practical Realization of a VLC Supportive Indoor Lighting System

2020 ◽  
pp. 87-97
Author(s):  
Sourish Chatterjee ◽  
Biswanath Roy
Keyword(s):  
Data Communication ◽  
Cost Effective ◽  
Ambient Light ◽  
Lighting System ◽  
Design Development ◽  
Led Driver ◽  
Communication Performance ◽  
Good Communication ◽  
Simulink Model ◽  
Light Interference

In an office space, an LED-based lighting system allows you to perform the function of a data transmitter. This article discusses the cost-effective design and development of a data-enabled LED driver that can transmit data along with its receiving part. In addition, this paper clearly outlines the application of the proposed VLC system in an office environment where ambient light interference is a severe issue of concern. The result shows satisfactory lighting characteristics in general for this area in terms of average horizontal illuminance and illuminance uniformity. At the same time, to evaluate real-time and static communication performance, Arduino interfaced MATLAB Simulink model is developed, which shows good communication performance in terms of BER (10–7) even in presence of ambient light noise with 6 dB signal to interference plus noise ratio. Our designed system is also flexible to work as a standalone lighting system, whenever data communication is not required.

Influence of Inlet Ionization Degree on Performance of Seed-free MHD Generator

2018 ◽  
Vol 138 (3) ◽  
pp. 236-241 ◽  
Author(s):  
Mio Tsuruoka ◽  
Manabu Tanaka ◽  
Yoshihiro Okuno
Keyword(s):  
Ionization Degree ◽  
Mhd Generator ◽  
Inlet Ionization

Influence of Water Contamination on Performance of Nonequilibrium Disk MHD Generator

2001 ◽  
Vol 121 (8) ◽  
pp. 1005-1010
Author(s):  
Kumiko Ohgaki ◽  
Tetsuji Okamura ◽  
Yoshihiro Okuno ◽  
Tetsuya Suekane ◽  
Hiroyuki Yamasaki ◽  
...  
Keyword(s):  
Water Contamination ◽  
Mhd Generator ◽  
Influence Of Water

Simulink model of oxygen distribution in skeletal muscle

2020 ◽  
Author(s):  
Amra Dzuho ◽  
Amina Aleta ◽  
Sabina Pandza ◽  
Irma Ramic ◽  
Nurayim Mamatnazarov ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Oxygen Distribution ◽  
Simulink Model

Test Report on Vibration Measurements on a Lightweight MHD Generator Channel

1978 ◽  
Author(s):  
Jerome Pearson ◽  
Roger E. Thaller ◽  
David L. Banazak
Keyword(s):  
Test Report ◽  
Vibration Measurements ◽  
Mhd Generator

scholarly journals Fault Detection in DC Microgrids Using Short-Time Fourier Transform

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 277
Author(s):  
Ivan Grcić ◽  
Hrvoje Pandžić ◽  
Damir Novosel
Keyword(s):  
Fourier Transform ◽  
Fault Detection ◽  
Operating Conditions ◽  
Time Signal ◽  
Short Time Fourier Transform ◽  
Dc Microgrid ◽  
Protection Scheme ◽  
Simulink Model ◽  
Battery Energy ◽  
Short Time

Fault detection in microgrids presents a strong technical challenge due to the dynamic operating conditions. Changing the power generation and load impacts the current magnitude and direction, which has an adverse effect on the microgrid protection scheme. To address this problem, this paper addresses a field-transform-based fault detection method immune to the microgrid conditions. The faults are simulated via a Matlab/Simulink model of the grid-connected photovoltaics-based DC microgrid with battery energy storage. Short-time Fourier transform is applied to the fault time signal to obtain a frequency spectrum. Selected spectrum features are then provided to a number of intelligent classifiers. The classifiers’ scores were evaluated using the F1-score metric. Most classifiers proved to be reliable as their performance score was above 90%.

The Research on Flow Calculation Method of the Ball Solenoid Valve

2014 ◽  
Vol 721 ◽  
pp. 370-373
Author(s):  
Yi Yang ◽  
Liang Chu ◽  
Di Fan ◽  
Yu Ting Huang
Keyword(s):  
Calculation Method ◽  
Solenoid Valve ◽  
Matlab Simulink ◽  
Flow Calculation ◽  
Simulink Model ◽  
Flow Demand

This paper proposes a flow calculation method of the ball solenoid valve, by measuring diameter of the input valve spool, we can estimate the rated flow of the solenoid valve. Aiming at the calculation method, we have built a MATLAB/Simulink model to calculate the valve flow, and we also validated the model by the flow demand of one type of RBS system.

Simulation and Visualization of Dynamic Systems Using MATLAB, Simulink, Simulink 3D Animation, and SolidWorks

2011 ◽  
Author(s):  
Loi Tran ◽  
Michael Hennessey ◽  
John Abraham
Keyword(s):  
Dynamic System ◽  
Quality Standard ◽  
Front Wheel ◽  
Geometric Constraints ◽  
Time Dependent ◽  
3D Animation ◽  
System Variable ◽  
Matlab Simulink ◽  
Simulink Model ◽  
Animation Software

There are many approaches to simulating and visualizing a dynamic system. Our focus is on developing/understanding and trading-off three different approaches that are relatively easy to implement with inexpensive, commonly available software using combinations of MATLAB, Simulink, Simulink 3D Animation, SolidWorks (basic), SolidWorks (Motion Manager) in addition to several common animation players such as Windows (Live) Movie Maker or the resident animation capability within MATLAB. The “SolidWorks Design Table” approach entails creating MATLAB/Simulink driven time-dependent assembly configurations, associated graphics files (e.g. JPG, TIFF) and then effectively “playing” them sequentially with animation software. The “SolidWorks Motor” approach utilizes SolidWorks’ Motion Manager capability (an add-on), whereby each spatially time-dependent geometric system variable is driven by a “motor” based on MATLAB/Simulink time-dependent data and an animation file can be generated from within Motion Manager. Lastly, in the “Simulink 3D Animation” approach, SolidWorks data is brought into the MATLAB environment and modified with V-Realm Builder (VRML Editor) supplied within the Simulink 3D Animation toolbox to define geometric constraints prior to inclusion as an animation VR Sink block within the Simulink model of the dynamic system. In each case, detailed procedures are provided. To exercise these three different approaches and permit comparisons, a benchmark problem was posed: parallel-parking of a four-wheeled vehicle possessing front wheel steering. Comparisons were then made and the recommended approach depends on such issues as the software background of the developer, the animation quality standard (e.g. framerate), and relative ease of implementation.

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