Jo Jun 4, 2023
A research team led by Kim Mun Hui, a researcher at the Faculty of Electrical Engineering, has developed a small wind power generation system capable of producing maximum power without a control circuit but a protective reactance coil.
A double-wound permanent magnet generator and a protective reactance coil can reduce harmonic loss and ensure maximum output of a wind turbine by increasing inductance and electromotive force coefficient.
The system consists of a wind turbine, a double-wound permanent magnet generator, a three-phase diode bridge rectifier, an inverter, load, etc.
The rotor of a 2kW wind power generation system is a horizontal axis with three blades and its radius is 1.8m.
The air gap flux density of the double-wound permanent magnet generator is higher than that of conventional ones and the air gap is 0.8mm.
The small power generation system is very effective for power generation of less than 10kW.
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Jo May 30, 2023
A research team led by Jong Ji Song, a researcher at the Faculty of Mechanical Science and Technology, has suggested a method of modeling the output boundary conditions of a cardiovascular system, which is very important to properly simulate blood flow in a cardiovascular system.
Modeling of output boundary conditions of a cardiovascular system is, in essence, that of one of the several parts not reflected in a three-dimensional modeling for simulation analysis, that is, reflecting the change in the characteristic quantities in several parts omitted in the three-dimensional model as boundary conditions.
Blood vessels not reflected in the three dimensional model of a cardiovascular system are modeled by parameters such as resistance (R), elasticity (E) and compliance (C) to form an electrical circuit analogous model. From this model, output pressure waveforms are formed.
They modeled the output of the artery in a series connection of proximal resistance Rp to the parallel connection of compliance C and distal resistance Rd to reflect the transient of blood flow and the elasticity of a blood vessel. They modeled the coronary output in the combination of resistance of coronary artery Ra, coronary compliance Ca, microcirculation resistance Ram, myocardial compliance Cim, coronary vein resistance Rv and ventricular pressure Pim(t).
Then, from the model mentioned above, he obtained blood pressure waveforms at the artery output and coronary output of the model whose heart rate is 80 beats/min, cardiac output 120mL, diastolic and systolic pressures 80mmHg and 130mmHg respectively, split ratio of coronary and system circulation 0.04 and that of left and right coronary artery 7/3.
Setting these blood pressure waveforms as output boundary conditions, they performed analysis by ANSYS Fluent 19.2 during two heart rate cycles.
They applied the boundary conditions to five persons who were to have heart operations and compared them with the clinical data.
The comparison showed the error of systolic pressure, diastolic pressure and one cycle cardiac output were -1.07~0.86%, -1.1~0.88% and -0.89~1.87% respectively, which means this method of modeling output boundary conditions is very effective.
The suggested method can be applied to a cardiac operation simulating system for the simulation and analysis of the preoperative and postoperative state of blood flow in the cardiovascular system. In addition, it can predict the effectiveness of planned operations and relapse after operations, and provide clinical simulation results for postoperative healing programs.
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Jo May 26, 2023
Shock wave therapy (SWT) is a physical treatment that uses focused or unfocused shock wave to treat a variety of diseases including plantar fascitis, chronic pain, erectile dysfunction, bone ache, heart disease, and osteoarthritis. Most SWT devices use electrohydraulic or electromagnetic source that results in focused shock waves by a reflector or an acoustic lens. The ballistic SWT device, scaled down in size, consists of a hand piece within which compressed air is used to fire a projectile that strikes a metal applicator placed on the skin.
More reliable measurements and modeling on the pressure field of the device should be conducted in order to clarify the beneficial effect of shock wave.
Many new data on the pressure field of ballistic shock wave were presented by their successful studies although the experimental results were not identical with each other. The origin for different results in those literatures is likely related to the settings on the devices and measurement conditions, which might arouse ambiguity on clarifying physical and biological mechanism.
Pae Kyong Nam, a researcher at the Faculty of Physics, has developed a Lattice Boltzmann model based on mass and momentum conservation equations and Tait equation of state to elucidate propagation behavior of the ballistic shock wave. He has modeled the weak compressible flow with the mass and momentum conservation equations to obtain the macroscopic variables such as density, velocity and pressure. In order to solve the equations mentioned above, he has closed the system with a relation between the pressure and conserved variables by using the Tait equation of state (EOS).
The applicator used in the simulation was a convex shaped applicator with a 15mm diameter, referred to as unfocused, whose effective radius of curvature was 41mm, and the center was extended approximately 0.7mm from the edge.
A simulated pressure waveform is generally in good agreement with the previous experimental results, which has a leading positive phase and a subsequent negative phase.
You can find more information in his paper “Simulation of Acoustical Field of Ballistic Shock Therapy Device by the Lattice Boltzmann Method” in “Physics of Wave Phenomena” (SCI).
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Jo May 24, 2023
A research team led by Choe Hyon Chol, a researcher at the Faculty of Mechanical Science and Technology, has proposed a reactor of a new type which ensures smooth ignition of pulverized anthracite coal and determined the most reasonable parameters.
More precise analysis of flow in a non-oil ignition reactor considering the effect of plasma is very important for several purposes such as raising the efficiency of a reactor, lengthening its service life, etc.
First, he proposed a conical air plasma reactor based on the cyclone principle as the most reasonable reactor for the ignition of anthracite coal.
Next, he created a geometrical model of the conical air plasma reactor and meshing and performed a CFD simulation by ANSYS Fluent using an RNG κ-ε turbulence model.
Through the numerical simulation of the joule heating process inside the reactor on an MHD model, he verified that the average temperature on the central axis increases with the cone angle and decreases with the increase in the inlet velocity, and it decreases as the inside diameter of the electrode increases.
The simulation on the electrochemical reaction and combustion process of plasma arc and pulverized coal-air mixture showed that as the cone angle increases, CO quantity increases and then decreases, and as the inlet velocity and the inside diameter of the electrode increase, CO quantity increases.
The reactor is regarded as essential for all kinds of furnaces for high temperature as well as boilers as it uses no heavy oil but pulverized anthracite coal, natural solid fuel.
It is simple in structure, easy to build and environmentally-friendly.
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Jo May 22, 2023
Clustering analysis is being applied to many fields of engineering and social science. One of the most important problems in clustering is to determine the number of clusters properly. The K-means clustering algorithm is widely used due to its simplicity. However, application of this algorithm is restricted by the fact that K must be chosen at the start. Thus, correct selection of K is essential, especially in this algorithm.
Many approaches to infer K and estimate the significance of the clustering result have been proposed. In those approaches, the first thing to be done beforehand is determination of the range of K. And, clustering is performed for every possible value of K, and then the value of the cluster number is determined. This is at a disadvantage of high complexity in the case of a great number of data points or high dimension. This would seem to become more serious when clustering big datasets is required and when it comes to density functions.
Ri Yong Ae, a lecturer at the Faculty of Applied Mathematics, has proposed a new method to determine the cluster number without clustering for every K in K-means.
First, introducing a new statistics RVR (ratio of variance to range), she proposed an algorithm to determine the cluster number K and perform clustering.
Then, to evaluate the effectiveness, she performed a simulation test with different types of datasets.
She has concluded that the proposed method has observed a significant improvement in speed and quality of determination of the cluster number and clustering, and the proposed algorithm would be used efficiently and widely for clustering of multi-dimensional data.
If further information is needed, please refer to her paper “A New Method to Determine Cluster Number without Clustering for Every K based on Ratio of Variance to Range (RVR) in K-Means” in “Mathematical Problems in Engineering” (SCI).
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