• Journal of the Korean Society of Propulsion Engineers
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• v.22 no.3
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• pp.53-64
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• 2018

In this study, computational simulation was performed to investigate the characteristics of air/fuel mixing according to the shape of the injector exit when the transverse jet was injected into a supersonic flow. Non-reacting flow simulation was conducted with fixed mass flow rate and the same cross-sectional area. To validate the results, free stream Mach number and jet-to-crossflow memetum ratio are set to 3.38 and 1.4, respectively, which is same as the experimental condition. Further, separation region, structure of the under-expended jet, jet penetration height, and flammable region of hydrogen for five different injectors compared.

• Journal of Power System Engineering
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• v.2 no.2
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• pp.13-19
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• 1998

The purpose of study is to investigate the flame stability and Structure of turbulent diffusion flame behind the hollowed flame holder, which is located on the waste gas coming out from the test furnace. Fluctuating temperature and ion current measurement and their statistical treatment were used for the purpose. Three types of flame were stabilized and each of which were changed by adequate equivalence ration. And we found that have no periodicity near reacting zone.

• Journal of Power System Engineering
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• v.3 no.3
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• pp.29-35
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• 1999

The purpose of study is to investigate the flame stability and structure of turbulent diffusion flame behind the hollowed flame holder, which is located on the waste gas coming out from the test furnace. PDFs and Power Spectra technique of fluctuating temperature and ion current measurement were needed for this purpose. We discussed that the three types of stabilized flames were found as the result of post study. In this paper, we established the stability mechanism near the flame holder.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.17 no.12
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• pp.1161-1168
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• 2005

A Multi-Sectional 3D-PTV algorithm was developed to reduce the calculation time of the conventional GA-3D-PTV. The hardware system of the constructed 3D-PTV system consists of two high-speed cameras ($1,024\times1,018$ pixels, 60 fps), a metal halogen lamp (400W) and a host computer. The sphere(D=30mm) is suspended in a circulating water channel $(300mm\times300mm\times1,200m)$ and Reynolds number is 1,130. About 5,000 instantaneous three-dimensional velocity vectors have been obtained by the constructed 3D-PTV system. Turbulent properties such as turbulent intensity, Reynolds stress and turbulent kinetic energy were obtained. An eigenvalue analysis was carried out using the obtained instantaneous 3D velocity vectors to get the topological relations of the asymptotically stable critical point. Two structured shells, inner shell and outer shell, were found in the sphere wake and their motions were clarified by the measured data.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.138-138
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• 2011

식생된 개수로에서 식생의 영향을 파악하기 위해 k-$\in$ 난류 모형을 이용하여 수치모의를 하였다. 식생의 영향을 고려하기 위해 항력항을 추가한 지배방정식을 구성하였으며, 지배방정식을 해석하기 위하여 유한체적법을 사용하였다. 수치모의에서 구한 식생된 개수로의 흐름구조를 기존의 수리실험 결과와 비교하여 비교적 잘 일치함을 확인할 수 있다. 난류의 생성과 소멸을 수치모의한 결과, 부분구간 식생된 경우 식생높이 보다 낮은 구간에서는 후류에 의한 난류 생성이 지배적이며, 식생높이보다 높은 구간에서는 주로 마찰에 의한 난류 생성이 지배적임을 보였다. 기존의 연구들은 식생의 영향을 고려하여 개수로의 흐름을 연구한 예는 드물며, 현재까지 진행되어진 국내의 연구는 난류모형을 이용하여 식생된 개수로에서의 흐름 구조를 모의하였다. 따라서 난류흐름을 모의하는데 가장 보편적인 k-$\in$ 난류모형을 이용하여 식생된 개수로에서 수직방향으로의 흐름구조와 식생의 영향을 해석하는 것은 그 자체로도 의미 있는 연구이며, 앞으로의 환경수리 문제를 해결하기 위해 선행되어야 하는 연구이다. 식생된 개수로에서의 난류구조와 부유사 이동에 대한 식생의 영향을 비정상 1차원 수직모형으로 해석하였으며, 폐합문제를 위해 2-방정식인 k-$\in$ 난류모형을 사용하였다. k-$\in$ 난류모형에 식생에 의한 항력항을 더하여 지배방정식을 구성하였다. 수직방향에 대해 흐름방향 유속 u, 난류에너지 k, 그리고 난류에너지 소산율 $\in$의 분포를 구하고, 부유사에 대한 수송방정식을 풀었다. 식생된 개수로와 식생되지 않은 개수로에서의 유속분포, 난류강도, 레이놀즈 응력 분포와 난류의 생성과 소멸을 구하여 식생이 난류흐름에 미치는 영향을 분석하였다.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.28 no.2
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• pp.183-193
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• 1995

Assuming that fishing nets are porous structures to suck water into their mouth and then filtrate water out of them, the flow resistance N of nets with wall area S under the velicity v was taken by $R=kSv^2$, and the coefficient k was derived as $$k=c\;Re^{-m}(\frac{S_n}{S_m})n(\frac{S_n}{S})$$ where $R_e$ is the Reynolds' number, $S_m$ the area of net mouth, $S_n$ the total area of net projected to the plane perpendicular to the water flow. Then, the propriety of the above equation and the values of c, m and n were investigated by the experimental results on plane nettings carried out hitherto. The value of c and m were fixed respectively by $240(kg\cdot sec^2/m^4)$ and 0.1 when the representative size on $R_e$ was taken by the ratio k of the volume of bars to the area of meshes, i. e., $$\lambda={\frac{\pi\;d^2}{21\;sin\;2\varphi}$$ where d is the diameter of bars, 21 the mesh size, and 2n the angle between two adjacent bars. The value of n was larger than 1.0 as 1.2 because the wakes occurring at the knots and bars increased the resistance by obstructing the filtration of water through the meshes. In case in which the influence of $R_e$ was negligible, the value of $cR_e\;^{-m}$ became a constant distinguished by the regions of the attack angle $ \theta$ of nettings to the water flow, i. e., 100$(kg\cdot sec^2/m^4)\;in\;45^{\circ}<\theta \leq90^{\circ}\;and\;100(S_m/S)^{0.6}\;(kg\cdot sec^2/m^4)\;in\;0^{\circ}<\theta \leq45^{\circ}$. Thus, the coefficient $k(kg\cdot sec^2/m^4)$ of plane nettings could be obtained by utilizing the above values with $S_m\;and\;S_n$ given respectively by $$S_m=S\;sin\theta$$ and $$S_n=\frac{d}{I}\;\cdot\;\frac{\sqrt{1-cos^2\varphi cos^2\theta}} {sin\varphi\;cos\varphi} \cdot S$$ But, on the occasion of $\theta=0^{\circ}$ k was decided by the roughness of netting surface and so expressed as $$k=9(\frac{d}{I\;cos\varphi})^{0.8}$$ In these results, however, the values of c and m were regarded to be not sufficiently exact because they were obtained from insufficient data and the actual nets had no use for k at $\theta=0^{\circ}$. Therefore, the exact expression of $k(kg\cdotsec^2/m^4)$, for actual nets could De made in the case of no influence of $R_e$ as follows; $$k=100(\frac{S_n}{S_m})^{1.2}\;(\frac{S_m}{S})\;.\;for\;45^{\circ}<\theta \leq90^{\circ}$$, $$k=100(\frac{S_n}{S_m})^{1.2}\;(\frac{S_m}{S})^{1.6}\;.\;for\;0^{\circ}<\theta \leq45^{\circ}$$