• Title/Summary/Keyword: Monte Carlo collision

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Study on the Electron Transport Coefficient in Mixtures of CF4CF4 and Ar (CF4ArCF4Ar 혼합기체의 전자수송계수에 관한 연구)

  • Kim, Sang-Nam
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.56 no.1
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    • pp.1-5
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    • 2007
  • Study on the electron transport coefficient in mixtures of CF4 and Ar, have been analyzed over a range of the reduced electric field strength between 0.1 and 350[Td] by the two-term approximation of the Boltzmann equation (BEq.) method and the Monte Carlo simulation (MCS). The calculations of electron swarm parameters require the knowledge of several collision cross-sections of electron beam. Thus, published momentum transfer, ionization, vibration, attachment, electronic excitation, and dissociation cross-sections of electrons for CF4CF4 and Ar, were used. The differences of the transport coefficients of electrons in CF4CF4 mixtures of Ar, have been explained by the deduced energy distribution functions for electrons and the complete collision cross-sections for electrons. The results of the Boltzmann equation and the Monte Carlo simulation have been compared with the data presented by several workers. The deduced transport coefficients for electrons agree reasonably well with the experimental and simulation data obtained by Nakamura and Hayashi. The energy distribution function of electrons in CF4ArCF4Ar mixtures shows the Maxwellian distribution for energy. That is, f(ε)f(ε) has the symmetrical shape whose axis of symmetry is a most probably energy. The proposed theoretical simulation techniques in this work will be useful to predict the fundamental process of charged particles and the breakdown properties of gas mixtures. A two-term approximation of the Boltzmann equation analysis and Monte Carlo simulation have been used to study electron transport coefficients.

Recursive Probabilistic Approach to Collision Risk Assessment for Pedestrians' Safety (재귀적 확률 갱신 방법을 이용한 보행자 충돌 위험 판단 방법)

  • Park, Seong-Keun;Kim, Beom-Seong;Kim, Eun-Tai;Lee, Hee-Jin;Kang, Hyung-Jin
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.4
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    • pp.475-480
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    • 2011
  • In this paper, we propose a collision risk assesment system. First, using Kalman Filter, we estimate the information of pedestrian, and second, we compute the collision probability using Monte Carlo Simulations(MCS) and neural network(NN). And we update the collision risk using time history which is called belief. Belief update consider not only output of Kalman Filter of only current time step but also output of Kalman Filter up to the first time step to current time step. The computer simulations will be shown the validity of our proposed method.

Electron Mean Energy in CF4, CH4, Ar mixtures (CF4, CH4, Ar 혼합기체의 전자 평균에너지)

  • Kim, Sang-Nam
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.64 no.4
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    • pp.241-245
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    • 2015
  • Energy Distribution Function in pure CH4CH4, CF4CF4 and mixtures of CF4CF4 and Ar, have been analyzed over a range of the reduced electric field strength between 0.1 and 350[Td] by the two-term approximation of the Boltzmann equation (BEq.) method and the Monte Carlo simulation (MCS). The calculations of electron swarm parameters require the knowledge of several collision cross-sections of electron beam. Thus, published momentum transfer, ionization, vibration, attachment, electronic excitation, and dissociation cross-sections of electrons for CH4CH4, CF4CF4 and Ar, were used. The differences of the transport coefficients of electrons in CH4CH4, mixtures of CH4CH4 and Ar, have been explained by the deduced energy distribution functions for electrons and the complete collision cross-sections for electrons. The results of the Boltzmann equation and the Monte Carlo simulation have been compared with the data presented by several workers. The deduced transport coefficients for electrons agree reasonably well with the experimental and simulation data obtained by Nakamura and Hayashi. The energy distribution function of electrons in CF4CF4-Ar mixtures shows the Maxwellian distribution for energy. That is, f(ε)f(ε) has the symmetrical shape whose axis of symmetry is a most probably energy.

Ionization and Attachment Coefficients in CF4 (CF4 기체에서의 전리와 부착계수)

  • Kim, Sang-Nam
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.60 no.1
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    • pp.27-31
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    • 2011
  • In this paper, the electron transport characteristics in CF4CF4 has been analysed over the E/N range 1~300[Td] by a two-term approximation Boltzmann equation method and by a Monte Carlo simulation. The motion has been calculated to give swarm parameters for the electron drift velocity, longitudinal diffusion coefficient, the ratio of the diffusion coefficient to the mobility, electron ionization and attachment coefficients, effective ionization coefficient, mean energy, collision frequency and the electron energy distribution function. The electron energy distribution function has been analysed in CF4CF4 at E/N=5, 10, 100, 200 and 300[Td] for a case of the equilibrium region in the mean electron energy and respective set of electron collision cross sections. The results of Boltzmann equation and Monte Carlo simulation have been compared with experimental data by Y. Nakamura and M. Hayashi. The swarm parameter from the swarm study are expected to serve as a critical test of current theories of low energy electron scattering by atoms and molecules, in particular, as well as crucial information for quantitative simulations of weakly ionized plasmas.

Drift Velocities for Electrons in SF6SF6-Ar Mixtures Gas by MCS-Beq Algorithm (MCS-BEq에 의한 SF6ArSF6Ar혼합기체(混合氣體)의 전자(電子) 이동속도(移動速度))

  • Kim, Sang-Nam
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.54 no.1
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    • pp.29-33
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    • 2005
  • Energy distribution function for electrons in SF6SF6-Ar mixtures gas by MCS-BEq algorithm has been analysed over the E/N range 3030030300[Td] by a two term Boltana equation and by a Monte Carlo Simulation using a set of electron cross sections determined by other, authors, experimentally the electron swarm parameters for 0.2[%} and 0.5[%] SF6SF6-Ar mixtures were measured by time-of-flight(TOF) method. The result show that the deduced electron drift velocities, the electron ionization or attachment coefficients, longitudinal and transverse diffusion coefficients and mean energy agree reasonably well with theoretical for a rang of E/N values. The results obtained from Booltemann equation method and Monte Carlo simulation have been compared with present and previously obtained data and respective set of electron collision cross sections of the molecules.

Statistical Analysis of Initial Behavior of a Vertically-launched Missile from Surface Ship (수상함에서 발사된 수직 발사 유도탄 초기 거동의 통계적 해석)

  • Kim, Kyung-Tae
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.22 no.9
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    • pp.889-895
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    • 2012
  • A vertical launching system(VLS) is a system for holding and firing missiles on surface ships. When a missile is launched in VLS, relative motion between canister and missile and drag force induced by wind can cause initial unstability of a missile. Thus dynamic analysis of initial behavior of vertically launched missile should be performed to prevent collision with any structure of a ship. In this study, dynamic analyses of initial behavior of vertically launched missile are performed using Monte-Carlo simulation, which relys on random sampling and probabilistic distribution of variables. Each parameter related with dynamic behavior of a missile is modeled with probability variables and Recurdyn, a commercial software for multi body dynamic analysis, is used to perform Monte-Carlo simulation. As a result, initial behavior of a missile is evaluated with respect to various performance indexes in a probabilistic sense and sensitivity of the each parameters is calculated.

A Simulation of the Mean energy of electrons in SF6SF6-Ar Mixtures Gas (시뮬레이션을 이용한 SF6SF6-Ar혼합기체의 전자 평균에너지)

  • Kim, Sang-Nam
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2005.07a
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    • pp.578-580
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    • 2005
  • Energy distribution function for electrons in SF6-Ar mixtures gas used by MCS-BEq algorithm has been analysed over the E/N range 30~300[Td] by a two term Boltzmann equation and by a Monte Carlo Simulation using a set of electron cross sections determined by other authors, experimentally the electron swarm parameters for 0.2[%] and 0.5[%] SF6SF6-Ar mixtures were measured by TOF method, The results show that the deduced electron drift velocities, the electron ionization or attachment coefficients, longitudinal and transverse diffusion coefficients and mean energy agree reasonably well with theoretical for a rang of E/N values. The results obtained from Boltzmann equation method and Monte Carlo simulation have been compared with present and previously obtained data and respective set of electron collision cross sections of the molecules.

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Monte carlo simulation for electron transport characteristics in sulphur hexaflouride (SF6SF6 가스의 전자수송특성에 관한 몬테칼로시뮬레이션)

  • 하성철;서상현
    • Electrical & Electronic Materials
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    • v.9 no.7
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    • pp.660-667
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    • 1996
  • The electron transport characteristics in SF6SF6 gas is calculated for range of E/N values from 150 -800(Td) by the Monte Carlo simulation using a set of electron collision cross sections determined by the authors. The results suggest that the value of an electron swarm parameter such as the electron drift velocity, the electron ionization or attachment coefficients, longitudinal and transverse diffusion coefficients in nearly agreement with the respective experimental and theoretical for a range of E/N. The electron energy distributions function were analysed in sulphur hexaflouride at E/N:500 and 800(Td) for a case of the equilibrium region in the mean electron energy. The validity of the results obtained has been confirmed by a Time of Flight method also investigated as a set of electron collision cross section for sulphur Hexaflouride.

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Physical Properties of AuGe Liquid Metal Ion Implanted n-GaAs (AuGe 액체금속 이온이 주입된 n-GaAs의 물성연구)

  • Kang, Tae-Won;Lee, Jeung-Ju;Kim, Song-Gang;Hong, Chi-Yhou;Leem, Jae-Young;Chung, Kwan-Soo
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.26 no.6
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    • pp.63-70
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    • 1989
  • The ion beam extracted from the AuGe liquid metal ion source was implanted into GaAs substrate. The surface composition and the structure of ion implanted samples were investigated by AES, RHEED, SEM and EPMA. The depth profiles measured by AES were compared with the results of Monte Carlo simulation based on the two-body collision. As the results of AuGe ion implantation the preferential sputtering of As were revealed by AES and EPMA, and the outdiffusion of Ga and Ge was investigated by 300circCcircC annealing. The Au and Ge depth profiles measured by AES agreed with the results of Monte Carlo simulation based on the two-body collision.

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Electron Energy Distribution function in CH4 by MCS-BEq (MCS-BEq에 의한 CH4기체에서 전자에너지 분포함수)

  • Kim, Sang-Nam
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.62 no.1
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    • pp.18-22
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    • 2013
  • This paper describes the information for quantitative simulation of weakly ionized plasma. We must grasp the meaning of the plasma state condition to utilize engineering application and to understand materials of plasma state. Using quantitative simulations of weakly ionized plasma, we can analyze gas characteristic. In this paper, the electron transport characteristic in CH4CH4 has been analysed over the E/N range 0.1~300[Td], at the 300[KK] by the two term approximation Boltzmann equation method and Monte Carlo Simulation. Boltzmann equation method has also been used to predict swarm parameter using the same cross sections as input. The behavior of electron has been calculated to give swarm parameter for the electron energy distribution function has been analysed in CH4CH4 at E/N=10, 100 for a case of the equilibrium region in the mean energy. A set of electron collision cross section has been assembled and used in Monte Carlo simulation to predict values of swarm parameters. The result of Boltzmann equation and Monte Carlo Simulation has been compared with experimental data by Ohmori, Lucas and Carter. The swarm parameter from the swarm study are expected to sever as a critical test of current theories of low energy scattering by atoms and molecules.