• Title/Summary/Keyword: Discharge Mechanism

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Characteristics of Particle Deposition onto Cleanroom Wall Panel for Varying Particle Charging Rates (입자하전량에 따른 클린룸 수직벽체로의 입자침착 특성)

  • Kim, Jong-Jun;Noh, Kwang-Chul;Sung, Sang-Chul;Baek, Sun-Ho;Oh, Myung-Do
    • Proceedings of the SAREK Conference
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    • 2008.06a
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    • pp.725-730
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    • 2008
  • In this study, we found out charged particle's deposition characteristic by experiments of $0.5{\mu}m$, $1.0{\mu}m$, $3.0{\mu}m$ size particle's concentration decay. We carried out the experiments on charged particle deposition onto the vertical cleanroom wall panel and some other fundamental experiments. The particle deposition mechanism is consist of sedimentation, convection, diffusion, thermophoresis, electrostatic and so on. Particle size determines mainly working deposition mechanism. The charged particle is made with corona discharge that are constituted field charging and diffusion charging. In addition, this combinational mechanism is called combined charging. The type of corona discharge determines quantity of particle electrical charge. In conclusion, we assumed that quantity of particle electrical charge accelerations deposition velocity onto the vertical cleanroom wall panel and proved it. And we figured out particle's deposition characteristic through compared between our experiment's results.

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Charge/Discharge Mechanism of Multicomponent Olivine Cathode for Lithium Rechargeable Batteries

  • Park, Young-Uk;Shakoor, R.A.;Park, Kyu-Young;Kang, Ki-Suk
    • Journal of Electrochemical Science and Technology
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    • v.2 no.1
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    • pp.14-19
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    • 2011
  • Quasi-equilibrium profiles are analyzed through galvanostatic intermittent titration technique (GITT) and potentiostatic intermittent titration technique (PITT) to study the charge/discharge mechanism in multicomponent olivine structure ($LiMn_{1/3}Fe_{1/3}Co_{1/3}PO_4$). From GITT data, the degree of polarization is evaluated for the three regions corresponding to the redox couples of $Mn^{2+}/Mn^{3+}$, $Fe^{2+}/Fe^{3+}$ and $Co^{2+}/Co^{3+}$. From PITT data, the current vs. time responses are examined in each titration step to find out the mode of lithium de-intercalation/intercalation process. Furthermore, lithium diffusivities at specific compositions (x in $Li_xMn_{1/3}Fe_{1/3}Co_{1/3}PO_4$) are also calculated. Finally, total capacity ($Q^{total}$) and diffusional capacity ($Q^{diff}$) are obtained for some selected voltage steps. The entire study consistently confirms that the charge/discharge mechanism of multicomponent olivine cathode is associated with a one-phase reaction rather than a biphasic reaction.

An Analysis of Damage Mechanism of Semiconductor Devices by ESD Using Field-induced Charged Device Model (유도대전소자모델(FCDM)을 이용한 ESD에 의한 반도체소자의 손상 메커니즘 해석)

  • 김두현;김상렬
    • Journal of the Korean Society of Safety
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    • v.16 no.2
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    • pp.57-62
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    • 2001
  • In order to analyze the mechanism of semiconductor device damages by ESD, this paper adopts a new charged-device model(CDM), field-induced charged nudel(FCDM), simulator that is suitable for rapid routine testing of semiconductor devices and provides a fast and inexpensive test that faithfully represents ESD hazards in plants. The high voltage applied to the device under test is raised by the fie]d of non-contacting electrodes in the FCDM simulator. which avoids premature device stressing and permits a faster test cycle. Discharge current md time are measured and calculated The FCDM simulator places the device at a huh voltage without transferring charge to it, by using a non-contacting electrode. The only charge transfer in the FCMD simulator happens during the discharge. This paper examine the field charging mechanism, measure device thresholds, and analyze failure modes. The FCDM simulator provides a Int and inexpensive test that faithfully represents factory ESD hazards. The damaged devices obtained in the simulator are analyzed and evaluated by SEM Also the results in this paper can be used for to prevent semiconductor devices from ESD hazards.

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Prediction of electric dynamics of electric discharge machining using Plasma model (플라즈마 모델을 이용한 방전가공의 전기적 거동 예측)

  • Kim K.W.;Jeong Y.H.;Min B.K.;Lee S.J.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.10a
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    • pp.604-607
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    • 2005
  • In the electro-discharge machining the machining performance is closely related to the characteristics of discharge which can be identified from electrical behavior in gap between workpiece and electrode. Therefore, the accurate prediction of electrical behavior in electro-discharge machining (EDM) is useful to process control and optimization. However, any simulation model fur prediction of electrical behavior in EDM process has never been reported until now. In this study, a simulation model is developed to analyze the electrical behavior of electro-discharge plasma which significantly influences electrical behavior in EDM process. For the purpose of this the fundamentals of electro-discharge mechanism such as inception, propagation, formation of plasma channel and termination are investigated to accurately predict the cycle of discharge plasma in EDM. As a result, a mathematical model of electro-discharge plasma is constructed with considering the fundamentals of electro-discharge plasma. Consequently, it is demonstrated that the developed model can predict the electrical behavior of plasma such as electron density in various conditions.

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A Lifetime Prediction and Diagnosis of Partial Discharge Mechanism Using a Neural Network (신경회로망을 이용한 부분방전 메카니즘의 진단과 수명예측)

  • Lee, Young-Sang;Kim, Jae-Hwan;Kim, Sung-Hong;Lim, Yun-Suk;Jang, Jin-Kang;Park, Jae-Jun
    • Proceedings of the KIEE Conference
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    • 1998.11c
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    • pp.910-912
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    • 1998
  • In this paper, we purpose automatic diagnosis in online, as the fundamental study to diagnose the partial discharge mechanism and to predict the lifetime, by introduction a neural network. In the proposed method, Ire use acoustic emission sensing system and calculate a fixed quantity statistic operator by pulse number and amplitude. Using statically operators such as the center of gravity(G) and the gradient of the discharge distribute(C), we analyzed the early stage and the middle stage. the fixed quantity statistic operators are learned by a neural network. The diagnosis of insulation degradation and a lifetime prediction by the early stage time are achieved. On the basis of revealed excellent diagnosis ability through the neural network learning for the patterns during degradation, it was proved that the neural network is appropriate for degradation diagnosis and lifetime prediction in partial discharge.

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The Characteristics of the Treatment of Pollutants ($SO_2$, NOx) Using Surface Discharge Induced Plasma Chemical Process (SPCP를 이용한 오염물질 ($SO_2$, NOx) 처리 특성)

  • 봉춘근;부문자
    • Journal of Korean Society for Atmospheric Environment
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    • v.14 no.4
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    • pp.333-342
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    • 1998
  • Plasma process has great possibilities to remove SOx, NOx simultaneously with high treatment efficiency and is expected to be suitable for small or middle plants. It was accomplished to evaluate SO2, NOx control possibility and achieve basic data to control pollutants by use of Surface Discharge Induced Plasma Chemical Process (SPCP) in this study. O3 generation characteristics by discharge of a plate was proportional to O2 concentration and power consumption and inversely proportional to temperature and humidity, In case of dry air, NOx was highly generated by N2 and O2 in air during the plasma discharge process but it was decreased considerably as H2O was added. SO2 removal efficiency was very high, and removal rate was 170,350 mEA at 30,50 watt respectively in flue gas which is usually contain HIO. NOx removal efficiency was about 57% at 40 watt power consumption with 7.5% humidity. It is estimated that H2O has an important role in reaction mechanism with pollutants according to plasma discharge.

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The Relationship Between the Lag Time of the Discharge and the Characteristics of Mis-Discharge in an AC-PDP (AC-PDP의 방전지연 시간과 오방전 특성의 관계)

  • Shin, Jae-Hwa;Kim, Gun-Su
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.28 no.3
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    • pp.149-153
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    • 2015
  • As the temperature of the panel increases in AC-PDPs, the minimum driving voltage increases. Also, as the more the number of discharge increases in cells, the probability of the strong dark discharge in the reset period increases. In this study, we investigated the relationship between the lag time of the discharge and the mechanism of mis-discharges which are the black noise and bright noise. We conclude that the variation of time lag characterizes the properties of exo-electron emission from MgO. Thus, we found that the main factor of the mis-discharges is the rate of change of the electron emission ability from the MgO surface.

Characteristics of the Reduction of Fine Particles in an Indoor Air Cleaner Using Electrostatic Precipitation Technique (전기집진기형 공기청정기의 미세 먼지 저감 특성에 관한 연구)

  • Mok, Young-Sun;Lee, Ho-Won
    • Journal of the Korean Society of Industry Convergence
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    • v.7 no.1
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    • pp.115-120
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    • 2004
  • An indoor air cleaner consisting of a dielectric barrier discharge system and an electrostatic precipitator (ESP) was experimentally investigated. The function of the dielectric barrier discharge is to precharge particles by producing nonthermal plasma before indoor air enters ESP, leading to an enhancement in dust collection efficiency. The dependence of particle size distribution on the plasma discharge was examined to understand the mechanism of the particle precharging. The plasma discharge was found to increase the electrical force of the particles, rather than agglomerate them. Coarse particles in the range of 0.5 to $5.0{\mu}m$ were observed to be easily collected by this indoor air cleaner, and the present study laid emphasis on the removal of fine particles of $0.3{\mu}m$. The collection efficiency of the fine particles was largely enhanced by the plasma discharge.

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Dynamic Analysis of a Discharge Valve for Electrodynamic Oscillating Compressor (전동형 진동식 압축기 토출밸브의 동적해석)

  • 김형진;박윤식
    • Journal of KSNVE
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    • v.10 no.4
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    • pp.615-622
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    • 2000
  • Discharge valve mechanism for an electrodynamic-oscillating compressor is different from that of a conventional reciprocating compressor. It has a larger discharge port area, heavier valve mass and stiffer valve spring comparing with the reciprocating one. Since the motion of piston is not kinematically restricted as in conventional reciprocating compressors, the stroke of the piston can change sensitively with supplied boltage and load. Thus piston can impact with discharge valve occasionally. This work deals on dynamic analysis of discharge valve considering all of those different characteristics. Impact is considered by a spring-mass model, and the pressure fluctuation at the both sides of the valve is also included considering the discharge port area and valve spring preload. It is assumed that piston moves in the region of between top and bottom dead center not by calculating piston motion from an electrodynamic equation but by getting values through experiment. Discharge pressure fluctuation is calculated using Helmholtz modeling. Finally, dynamic model for a discharge valve is constructed. In order to validate the model analysis results, the valve motion is experimentally measured and compared with analysis.

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Measurement of Fluorescence Signal Strength of NO Particle Using ICCD (ICCD를 이용한 NO입자의 형광신호강도 측정)

  • 전용우;박원주;이광식;이홍식
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.15 no.4
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    • pp.23-30
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    • 2001
  • In this paper, the discharge image of NO particles wire-cylinder type electrode in the discharge reactor where AC dielectric barrier type corona discharge occurred and horizontal and vertical signal intensity at each flourescence emission during discharge and the horizontal and vertical signal strength of NO particles at flourescence emission wavelength band[236[nm], 247[nm]], were measured were measured by ICCD Camera. In addition discharge images and signal intensities in accordance with discharge time were measured to figure out the discharge mechanism. It was found that the strongest horizontal and vertical signal intensity of NO particles were observed at 247[nm] band, but no big difference in the horizontal and vertical signal intensity in accordance with discharge time was seen. In particular, the phenomenon image occuring inside the discharge reactor and wavelength ware able to be carried based on the measured data.

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