• Title/Summary/Keyword: mixing speed

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Widely-tunable high-speed wavelength converter based on four-wave mixing in a semiconductor-fiber ring laser (고리형 반도체-광섬유 레이저에서 4광파 혼합에 의한 광대역 및 고속 파장 변환기)

  • Choi, kyoung-Sun;Seo, Dong-Sun;Lee, Yoo-Seung;Ki, Ho-Jin;Jhon, Young-Min;Lee, Seok;Kim, Dong-Hwan
    • Korean Journal of Optics and Photonics
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    • v.13 no.1
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    • pp.15-20
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    • 2002
  • We demonstrate a widely-tunable wavelength converter based on four-wave mixing in a semiconductor-fiber ring laser with no external pump light. Applying 10 GHz short pulses at -8 dBm as a probe signal, we achieve continuous wavelength tuning over the semiconductor optical amplifier gain-bandwidth reaching 30 nm down- and 17 m up-wavelength conversion. In addition to the wide tuning capability, the converter shows high-speed conversion and low saturation power capabilities.

Performance Improvement of Independent Component Analysis by Fixed-point Algorithm of Adaptive Learning Parameters (적응적 학습 파라미터의 고정점 알고리즘에 의한 독립성분분석의 성능개선)

  • Cho, Yong-Hyun;Min, Seong-Jae
    • The KIPS Transactions:PartB
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    • v.10B no.4
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    • pp.397-402
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    • 2003
  • This paper proposes an efficient fixed-point (FP) algorithm for improving performances of the independent component analysis (ICA) based on neural networks. The proposed algorithm is the FP algorithm based on Newton method for ICA using the adaptive learning parameters. The purpose of this algorithm is to improve the separation speed and performance by using the learning parameters in Newton method, which is based on the first order differential computation of entropy optimization function. The learning rate and the moment are adaptively adjusted according to an updating state of inverse mixing matrix. The proposed algorithm has been applied to the fingerprints and the images generated by random mixing matrix in the 8 fingerprints of 256${\times}$256-pixel and the 10 images of 512$\times$512-pixel, respectively. The simulation results show that the proposed algorithm has the separation speed and performance better than those using the conventional FP algorithm based on Newton method. Especially, the proposed algorithm gives relatively larger improvement degree as the problem size increases.

An Experimental Study on Spray Characteristics of Diesel and Bio-diesel Fuel (디젤 및 바이오디젤 연료의 분무특성에 관한 연구)

  • Kim, Jae-Duk;Ainull, Ghurri;Song, Kyu-Keun;Jung, Jae-Yeon;Kim, Hyung-Gon
    • Journal of Advanced Marine Engineering and Technology
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    • v.35 no.1
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    • pp.53-59
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    • 2011
  • The using of diesel engine will be increased in the world for fuel economy. But diesel engine emits harmful emissions such as much NOx, smoke etc. In this study, experiments were performed to investigate the spray characteristics of diesel spray in a common-rail system according to fuel temperature, injection pressure, injection period and fuel viscosity etc. using a high speed video camera. Diesel oil has different spray patten due to injection pressure and injection period in a common-rail system. A Filter pressure was influenced by fuel temperature which was turned to fuel viscosity related to a fluid flowing. The effect of the bio-diesel fuel mixing ratio on the spray and atomization characteristics was also investigated at various experimental conditions. It shows that the droplet atomization characteristics of bio-diesel fuel showed deteriorated results as the mixing ratio of biodiesel increased because of the high viscosity.

Evaluation of Impact Resistance of Steel Fiber and Organic Fiber Reinforced Concrete and Mortar

  • Kim, Gyu-Yong;Hwang, Heon-Kyu;Nam, Jeong-Soo;Kim, Hong-Seop;Park, Jong-Ho;Kim, Jeong-Jin
    • Journal of the Korea Institute of Building Construction
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    • v.12 no.4
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    • pp.377-385
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    • 2012
  • In this study, the Impact resistance of steel fiber and organic fiber reinforced concrete and mortar was evaluated and the improvement in toughness resulting from an increase in compressive strength and mixing fiber for impact resistance on performance was examined. The types of fiber were steel fiber, PP and PVA, and these were mixed in at 0.1, 0.5 and 1.0 vol.%, respectively. Impact resistance is evaluated with an apparatus for testing impact resistance performance by high-speed projectile crash by gas-pressure. For the experimental conditions, Specimen size was $100{\times}100{\times}20$, 30mm ($width{\times}height{\times}thickness$). Projectile diameter was 7 and 10 mm and impact speed is 350m/s. After impact test, destruction grade, penetration depth, spalling thickness and crater area were evaluated. Through this evaluation, it was found that as compressive strength is increased, penetration is suppressed. In addition, as the mixing ratio of fiber is increased, the spalling thickness and crater area are suppressed. Organic fibers have lower density than the steel fiber, and population number per unit area is bigger. As a result, the improvement of impact resistance is more significant thanks to dispersion and degraded attachment performance.

A Study on Propulsion Performance of Underwater Ram-Jet with Optimized Nozzle Configuration (최적 노즐형상을 갖는 수중램제트의 추진성능에 관한 연구)

  • Kang, H.K.;Kim, Y.T.;Lee, Y.H.
    • Journal of the Society of Naval Architects of Korea
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    • v.34 no.4
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    • pp.42-52
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    • 1997
  • The basic principle of underwater ram-jet as a unique marine propulsion concept showing vary high cruise speed range(e. g. 80-100 knots) is the thrust production by the transfer of the potential energy of compressed gas to the operating liquid through kinetic mixing process. This paper is aimed to investigate the propulsive efficiency of the nozzle flow in underwater ram-jet at the speed of 80 knots for the buried type vessel. The basic assumption of the theoretical analysis is that mixture of water and air can be treated as incompressible gas. For an optimized nozzle configuration obtained from the performance analysis, preliminary data for performance evaluation are obtained and effects of nozzle inner wall friction, ambient temperature, ambient pressure, water density, gas velocity, bubble radius, flow velocity, diffuser area ratio, mass flow ratio and water velocity gradient are investigated.

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A Study on Removal of Heavy Metals (Cu, Zn, and Pb) from Contaminated Soil by Soil Washing (토양세척에 의한 오염토양의 중금속(Cu, Zn, Pb) 제거에 관한 연구)

  • Kim, Myoung-Jin
    • Economic and Environmental Geology
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    • v.46 no.6
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    • pp.509-520
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    • 2013
  • In this study, heavy metals are removed by soil washing from soils contaminated with Cu, Zn, and Pb, whose maximum concentrations are up to 3350, 1220, and 2240 mg/kg, respectively. Through various soil washing experiments, the optimum conditions, including type and concentration of washing reagent, washing time, mixing ratio of soil and washing reagent, and stirring speed, are derived for effective removal of the heavy metals. It is found that the most effective washing reagent and its concentration are hydrochloric acid and 50 mM, respectively. The most suitable washing time is 30 minutes and the optimal mixing ratio of soil and washing reagent is 1:30 (g/mL). The removal efficiency, on the other hand, is not affected by stirring speed. The removal efficiencies of the heavy metals decrease when washing reagent is reused. Furthermore, the heavy metals are readsorbed onto soil in case of consecutive reuse of washing reagent.

Particle Dispersion Model Speed Improvement and Evaluation for Quick Reaction to Pollutant Accidents (신속한 오염사고 대응을 위한 입자 분산 모형의 속도 개선 및 평가)

  • Shin, Jaehyun;Seong, Hoje;Park, Inhwan;Rhee, Dong Sop
    • The Journal of the Korea Contents Association
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    • v.20 no.12
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    • pp.537-546
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    • 2020
  • This study deals with the development and improvement of a particle dispersion model for quick response to water pollutant accidents. The developed model is based on the shear dispersion theory where vertical mixing is done by step by step mixing by vertical and molecular diffusion algorithm. For the quick response to chemical accidents, an algorithm for multi-core modeling for the particle dispersion model is applied. After the application of multi-core operation using OpenMP directives to the model, the relation for the calculation time and particle size were determined along with the number of cores used for parallel programming to determine the model time for chemical accident responses. The results showed the adequate conditions for the modeling of chemical accidents for quick response and to increase the applicability of the model.

Investigation of Nickel Removal from Heavy Metal Containing Industrial Wastewater by Electrocoagulation Method

  • Baybars Ali, Fil;Cansu, Elgun;Sevim Alya, Cihan;Sermin, Gunaslan;Alper Erdem, Yilmaz
    • Journal of Electrochemical Science and Technology
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    • v.13 no.4
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    • pp.424-430
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    • 2022
  • In the study, Ni2+ (nickel) removal from synthetically prepared wastewater by electrocoagulation method, which is one of the electrochemical treatment processes, was investigated and parameters such as current density, pH, mixing speed, initial Ni2+ concentration, supporting electrolyte type and concentration were determined to determine Ni2+ removal efficiencies effects were studied. Experiment conditions during 30 minutes of electrolysis; the current density was determined as 0.95 mA/cm2, the initial pH of the wastewater was 6, the mixing speed was 150 rpm, and the initial nickel concentration was 250 mg/L. The Ni2+ removal efficiency was obtained as 75.99% under the determined experimental conditions, while the energy consumption was calculated as 3.15 kW-h/m3. In the experiments, it was observed that the type and concentration of the supporting electrolyte did not have a significant effect on the Ni2+ removal efficiency. In the trials where the effect of the support electrolyte concentration was examined, the Ni2+ removal efficiency was 75.99% in the wastewater environment without the supporting electrolyte, while the Ni2+ removal efficiency was 81.55% when 7.5 mmol/L NaCl was used after the 30-minute reaction, and the energy consumption was 2.15 kW-h/m3 obtained as. As a result of the studies, it was concluded that the electrocoagulation process can be applied in the treatment of wastewater containing Ni2+.

Flow Characteristics of Fine Particles for Separated Device Shapes (분리장치의 형상에 따른 미립자 유동특성)

  • Hwang, Seon Kyeong;Lee, Seoung Soo;Jung, Hyo Sang
    • Journal of the Korean Society for Precision Engineering
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    • v.30 no.5
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    • pp.544-551
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    • 2013
  • Recently high speed mixer, which is mixing, grinding, dispersion for liquid-liquid material, has been widely used several industries such as food, cosmetics, pharmaceuticals, fine chemicals, electronic material. This high speed mixer has a core element part called particle separation device. Particle separation device, which makes mixed liquid and liquid material using shear forces from a rotor and a stator, is a decisive factor in the distributed parts. In this study, we examined the velocity distribution of the two models of particle separation device using computation fluid dynamics, so that we were able to see the difference of the velocity distribution according to the shape. Also, by experiment, we observed that the use of rotor-screen type is deemed more suitable in case of accurately considering the effect of improving of the dispersibility through the circulation of the future.

Thermohydrodynamic Analysis and Pad Temperature Measurement of a Tilting Pad Journal Bearing for a Turbine Simulator (터빈 시뮬레이터용 틸팅패드 저널베어링의 열윤활 해석 및 패드 온도 측정)

  • Lee, Donghyun;Sun, Kyungho
    • Tribology and Lubricants
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    • v.33 no.3
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    • pp.112-118
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    • 2017
  • Tilting pad journal bearings(TPJBs) are widely used for high speed rotating machinery owing to their rotordynamic stability and thermal management feature. With increase in the rotating speed of such machinery, an increasingly important aspect of TPJB design is the prediction of their thermal behaviors. Researchers have conducted detailed investigations in the last two decades, which provided design tools for the TPJBs. Based on these previous studies, this paper presents a thermohydrodynamic(THD) analysis model for TPJBs. To calculate pressure distribution, we solve the generalized Reynolds equation and to predict the lubricant temperature, we solve the 3D energy equation. We employ the oil mixing theory to calculate pad inlet temperature; further, to consider heat conduction via the pad, we solve the heat conduction equation for the pads. We assume the shaft temperature as the averaged oil film temperature and apply natural convection boundary conditions to the pad side and back surfaces. To validate the analysis model, we compare the predicted pad temperatures with those from previous research. The results show good agreement with previous research. In addition, we conduct parametric studies on a TPJB which was used in a gas turbine simulator system. The predicted results show that film temperature largely depends on the rotating speed and oil supply condition.