Impulse impedance of the horizontal grounding electrode: Experimental analysis versus full-wave computational model

2016 ◽  
Author(s):  
Tonko Garma ◽  
Silvestar Sesnic ◽  
Dragan Poljak ◽  
Mislav Blajic
Keyword(s):  
Computational Model ◽  
Experimental Analysis ◽  
Full Wave ◽  
Grounding Electrode

scholarly journals An Innovative Data-Driven Computational Model to Predict High Blood Pressure Based on AAA++

2018 ◽  
Vol 7 (3.3) ◽  
pp. 114 ◽  
Author(s):  
Satyanarayana Nimmala ◽  
Y Ramadevi ◽  
B Ashwin Kumar
Keyword(s):  
Blood Pressure ◽  
Risk Factor ◽  
Computational Model ◽  
High Blood Pressure ◽  
Experimental Analysis ◽  
The Body ◽  
Data Driven ◽  
Blood Cholesterol ◽  
Proposed Model ◽  
The Impact

Every tissue of human body needs energy and oxygen for its livelihood. In order to supply energy and oxygen, the heart pumps the blood around the body. When heart pushes the blood against the walls of arteries, it creates some pressure inside the arteries, called as blood pressure. If this pressure is more than the certain level we treat it as high blood pressure (HBP). Nowadays HBP is a silent killer of many across the globe. So here we proposed a new data-driven computational model to predict HBP. Blood Pressure (BP) may be elevated because of many changes such as physical and emotional. In the proposed model we have considered AAA++ (age, anger level, anxiety level, obesity (+), blood cholesterol (+)), for experimental analysis. Our model initially calculates the correlation coefficient (CC) between each risk factor and class label attribute. Then based on the impact of each risk factor value and CC, it assigns the corresponding weight to it. Then proposed model uses risk factor value and its weight to predict whether person becomes a victim of HBP or not. We have used real-time data set for experimental analysis. It consists of 1000 records, which are collected from Doctor C, a Medical Diagnostic center, Hyderabad, India. 

scholarly journals Modelling of a two-phase zone during condensation of R1234yf refrigerant in tubular minichannels under periodic dynamic disturbances

2018 ◽  
Vol 70 ◽  
pp. 02011
Author(s):  
Waldemar Kuczyński ◽  
Aleksander Denis
Keyword(s):  
Computational Model ◽  
Experimental Analysis ◽  
Experimental Tests ◽  
Phase Region ◽  
Phase Zone ◽  
Two Phase ◽  
Condensation Zone ◽  
Environment Friendly ◽  
Mini Channels ◽  
Inner Diameter

The paper presents an experimental analysis of the influence of dynamic disturbances on the size of the condensation zone of the appropriate new R1234yf environment-friendly refrigerant in circular mini-channels. Experimental tests were conducted for single minichanells placed horizontally, with an inner diameter d = {1.44; 2.30; 3.30} mm. A range of frequencies from f = 0.2 - 5 Hz of periodically generated disturbances showed an explicit and unfavourable influence on the decrease of the length of the proper condensation region. This influence reduced the efficiency of the process. A computational model was developed to calculate the length of the two-phase region under disturbance conditions. The model proposed was verified by the results of the experiment, and compliance was obtained in the range of ±25%.

Comparison of the antenna model and experimental analysis of an impulse impedance of the horizontal grounding electrode

2015 ◽  
Vol 125 ◽  
pp. 159-163 ◽  
Author(s):  
Silvestar Šesnić ◽  
Tonko Garma ◽  
Dragan Poljak ◽  
Sergey V. Tkachenko
Keyword(s):  
Experimental Analysis ◽  
Grounding Electrode ◽  
Antenna Model

scholarly journals Experimental Analysis and Optimization of an R744 Transcritical Cycle Working with a Mechanical Subcooling System

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3204 ◽  
Author(s):  
Daniel Sánchez ◽  
Jesús Catalán-Gil ◽  
Ramón Cabello ◽  
Daniel Calleja-Anta ◽  
Rodrigo Llopis ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Heat Exchanger ◽  
Critical Temperature ◽  
Computational Model ◽  
Experimental Analysis ◽  
Experimental Tests ◽  
Cooling Capacity ◽  
Operating Conditions ◽  
Coefficient Of Performance ◽  
Liquid Heat

In the last century, the refrigerant R744 (carbon dioxide) has become an environmentally friendly solution in commercial refrigeration despite its particular issues related to the low critical temperature. The use of transcritical cycles in warm and hot countries reveals the necessity of adopting different configurations and technologies to improve this specific cycle. Among these, subcooling methods are well-known techniques to enhance the cooling capacity and the Coefficient of Performance (COP) of the cycle. In this work, an R600a dedicated mechanical subcooling system has been experimentally tested in an R744 transcritical system at different operating conditions. The results have been compared with those obtained using a suction-to-liquid heat exchanger (IHX) to determine the degree of improvement of the mechanical subcooling system. Using the experimental tests, a computational model has been developed and validated to predict the optimal subcooling degree and the cubic capacity of the mechanical subcooling compressor. Finally, the model has been used to analyze the effect of using different refrigerants in the mechanical subcooling unit finding that the hydrocarbon R290 and the HFC R152a are the most suitable fluids.

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