• 제목/요약/키워드: Physics-based Simulation

검색결과 460건 처리시간 0.027초

Novel Optical Properties of Si Nanowire Arrays

  • Lee, Munhee;Gwon, Minji;Cho, Yunae;Kim, Dong-Wook
    • 한국진공학회:학술대회논문집
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    • 한국진공학회 2014년도 제46회 동계 정기학술대회 초록집
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    • pp.179.1-179.1
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    • 2014
  • Si nanowires have exhibited unique optical characteristics, including nano-antenna effects due to the guided mode resonance, significant optical absorption enhancement in wide wavelength and incident angle range due to resonant optical modes, graded refractive index, and scattering. Since Si poor optical absorption coefficient due to indirect bandgap, all such properties have stimulated proposal of new optoelectronic devices whose performance can surpass that of conventional planar devices. We have carried out finite-difference time-domain simulation studies to design optimal Si nanowire array for solar cell applications. Optical reflectance, transmission, and absorption can be calculated for nanowire arrays with various diameter, length, and period. From the absorption, maximum achievable photocurrent can be estimated. In real devices, serious recombination loss occurring at the surface states is known to limit the photovoltaic performance of the nanowire-based solar cells. In order to address such issue, we will discuss how the geometric parameters of the array can influence the spatial distribution of the optical field (resulting optical generation rate) in the nanowires.

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Performance Analysis of NOMA-based Relaying Networks with Transceiver Hardware Impairments

  • Deng, Chao;Zhao, Xiaoya;Zhang, Di;Li, Xingwang;Li, Jingjing;Cavalcante, Charles Casimiro
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권9호
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    • pp.4295-4316
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    • 2018
  • In this paper, the performance of non-orthogonal multiple access (NOMA) dual-hop (DH) amplify-and-forward (AF) relaying networks is investigated, where Nakagami-m fading channel is considered. In order to cover more details, in our analysis, the transceiver hardware impairments at source, relay and destination nodes are comprehensively considered. To characterize the effects of hardware impairments brought in NOMA DH AF relaying networks, the analytical closed-form expressions for the exact outage probability and approximate ergodic sum rate are derived. In addition, the asymptotic analysis of the outage probability and ergodic sum rate at high signal-to-noise ratio (SNR) regime are carried out in order to further reveal the insights of the parameters for hardware impairments on the network performance. Simulation results indicate the performance of asymptotic ergodic sum rate are limited by levels of distortion noise.

Precise Modeling and Adaptive Feed-Forward Decoupling of Unified Power Quality Conditioners

  • Wang, Yingpin;Obwoya, Rubangakene Thomas;Li, Zhibo;Li, Gongjie;Qu, Yi;Shi, Zeyu;Zhang, Feng;Xie, Yunxiang
    • Journal of Power Electronics
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    • 제19권2호
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    • pp.519-528
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    • 2019
  • The unified power quality conditioner (UPQC) is an effective custom power device that is used at the point of common coupling to protect loads from voltage and current-related PQ issues. Currently, most researchers have studied series unit and parallel unit models and an idealized transformer model. However, the interactions of the series and parallel converters in AC-link are difficult to analyze. This study utilizes an equivalent transformer model to accomplish an electric connection of series and parallel converters in the AC-link and to establishes a precise unified mathematical model of the UPQC. The strong coupling interactions of series and parallel units are analyzed, and they show a remarkable dependence on the excitation impedance of transformers. Afterward, a feed-forward decoupling method based on a unified model that contains the uncertainty components of the load impedance is applied. Thus, this study presents an adaptive method to estimate load impedance. Furthermore, simulation and experimental results verify the accuracy of the proposed modeling and decoupling algorithm.

Detecting the Baryon Acoustic Oscillations in the N-point Spatial Statistics of SDSS Galaxies

  • Hwang, Se Yeon;Kim, Sumi;Sabiu, Cristiano G.;Park, In Kyu
    • 천문학회보
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    • 제46권2호
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    • pp.72.3-73
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    • 2021
  • Baryon Acoustic Oscillations (BAO) are caused by acoustic density waves in the early universe and act as a standard ruler in the clustering pattern of galaxies in the late Universe. Measuring the BAO feature in the 2-point correlation function of a sample of galaxies allows us to estimate cosmological distances to the galaxies mean redshift, , which is important for testing and constraining the cosmology model. The BAO feature is also expected to appear in the higher order statistics. In this work we measure the generalized spatial N-point point correlation functions up to 4th order. We made measurements of the 2, 3, and 4-point correlation functions in the SDSS-III DR12 CMASS data, comprising of 777,202 galaxies. The errors and covariances matrices were estimated from 500 mock catalogues. We created a theoretical model for these statistics by measuring the N-point functions in halo catalogues produced by the approximate Lagrangian perturbation theory based simulation code, PINOCCHIO. We created simulations using initial conditions with and without the BAO feature. We find that the BAO is detected to high significance up to the 4-point correlation function.

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Deep learning in nickel-based superalloys solvus temperature simulation

  • Dmitry A., Tarasov;Andrey G., Tyagunov;Oleg B., Milder
    • Advances in aircraft and spacecraft science
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    • 제9권5호
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    • pp.367-375
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    • 2022
  • Modeling the properties of complex alloys such as nickel superalloys is an extremely challenging scientific and engineering task. The model should take into account a large number of uncorrelated factors, for many of which information may be missing or vague. The individual contribution of one or another chemical element out of a dozen possible ligants cannot be determined by traditional methods. Moreover, there are no general analytical models describing the influence of elements on the characteristics of alloys. Artificial neural networks are one of the few statistical modeling tools that can account for many implicit correlations and establish correspondences that cannot be identified by other more familiar mathematical methods. However, such networks require careful tuning to achieve high performance, which is time-consuming. Data preprocessing can make model training much easier and faster. This article focuses on combining physics-based deep network configuration and input data engineering to simulate the solvus temperature of nickel superalloys. The used deep artificial neural network shows good simulation results. Thus, this method of numerical simulation can be easily applied to such problems.

Real-Time Simulation of Thin Rod

  • Choi, Min Gyu;Song, Oh-Young
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제7권4호
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    • pp.849-859
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    • 2013
  • This paper proposes a real-time simulation technique for thin rods undergoing large rotational deformation. Rods are thin objects such as ropes and hairs that can be abstracted as one-dimensional structures. Development of a real-time physical model that can produce visually convincing animation of thin rods has been a challenging problem in computer graphics. We adopt continuum mechanics to formulate the governing equation, and develop a modal warping technique for rods to integrate the governing equation in real-time; This is a novel extension of the previous modal warping techniques developed for solids and shells. Experimental results show that the proposed method runs in real-time even for large meshes and it can simulate large bending and/or twisting deformations.

Interaction Metaphors for Modeling Virtual Hair using Haptic Interfaces

  • Bonanni, Ugo;Kmoch, Petr;Magnenat-Thalmann, Nadia
    • International Journal of CAD/CAM
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    • 제9권1호
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    • pp.93-102
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    • 2010
  • Shaping realistic hairstyles for digital characters is a difficult, long and tedious task. The lack of appropriate interaction metaphors enabling efficient and simple, yet accurate hair modeling further aggravates the situation. This paper presents 3D interaction metaphors for modeling virtual hair using haptic interfaces. We discuss user tasks, ergonomic aspects, as well as haptics-based styling and fine-tuning tools on an experimental prototype. In order to achieve faster haptic rates with respect to the hair simulation and obtain a transparent rendering, we adapt our simulation models to comply with the specific requirements of haptic hairstyling actions and decouple the simulation of the hair strand dynamics from the haptic rendering while relying on the same physiochemical hair constants. Besides the direct use of the discussed interaction metaphors in the 3D modeling area, the presented results have further application potential in hair modeling facilities for the entertainment industry and the cosmetic sciences.

토크 벡터링을 적용한 전기차의 선회 성능 평가에 관한 연구 (A Study of Torque Vectoring Application in Electric Vehicle for Driving Stability Performance Evaluation)

  • 이종현;이경하;김일호;정덕우;허승진
    • 한국자동차공학회논문집
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    • 제22권3호
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    • pp.250-256
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    • 2014
  • EV(Electric Vehicle) has many benefits such as prevention of global warming and so on. But due to driving source changing from combustion engine to battery and e-motor, new R&D difficulties have arisen which changing of desired vehicle performance and multidisciplinary design constraints by means of strong coupled multi-physics domain problems. Additionally, dynamics performances of EV becomes more important due to increasing customer's demands and expectations for EV in compare with internal combustion engine vehicle. In this paper suggests model based development platform of EV through integrated simulation environment for improving analyse & design accuracy in order to solve multi-physics problem. This simulation environment is integrated by three following specialized simulation tools IPG CarMaker, AVL Cruise, DYMOLA that adapted to each purpose. Furthermore, control algorithm of TV(Torque Vectoring) system is developed using independent driven e-motor at rear wheels for improving handling performance of EV. TV control algorithm and its improved vehicle performances are evaluated by numerical simulation from standard test methods.

성형작약제트와 표적 상호작용 해석 방법론 (Methodologies for Analyzing Interaction between Shape Charge Jets and Targets)

  • 강민아;박성준;;;문세훈
    • 한국시뮬레이션학회논문지
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    • 제31권3호
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    • pp.11-21
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    • 2022
  • 국과연은 물자표적에 대한 취약성 해석 모델인 AVEAM-MT(ADD Vulnerability and Effectiveness Assessment Model for Materiel Target)를 개발하고 있다. 이 모델에는 성형작약제트와 표적 간 상호작용을 해석하기 위해 두 가지 방법이 적용되었다. 그중 한 방법은 표적 부품으로 침투를 신속하게 계산하기 위해 Fireman-Pugh 방법을 개량한 경험적 모델이다. 다른 하나는 Walker-Anderson 침투모델을 성형작약제트에 적용할 수 있도록 개량한 물리기반 모델인 ADD-TSC(ADD Tandem Shaped Charge)이다. 이 논문에서는 이 두 방법을 간략히 기술하고, 경험식 방법과 물리기반 모델의 잔류침투성능 예측 결과를 비교한다. 또한 물리기반 모델이 예측한 침투성능과 문헌에서 찾은 실험 결과를 비교한다. 비교 결과는 두 방법 모두 AVEAM-MT와 같은 짧은 시간에 상당한 양의 반복적인 피해해석 시뮬레이션 수행이 요구되는 취약성 해석 모델에 탑재되어 고속 계산 또는 상대적으로 높은 충실도 계산에 유용하게 사용될 수 있음을 보인다.

Development of High Energy Particle Detector for the Study of Space Radiation Storm

  • Jo, Gyeong-Bok;Sohn, Jongdae;Choi, Cheong Rim;Yi, Yu;Min, Kyoung-Wook;Kang, Suk-Bin;Na, Go Woon;Shin, Goo-Hwan
    • Journal of Astronomy and Space Sciences
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    • 제31권3호
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    • pp.277-283
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    • 2014
  • Next Generation Small Satellite-1 (NEXTSat-1) is scheduled to launch in 2017 and Instruments for the Study of Space Storm (ISSS) is planned to be onboard the NEXTSat-1. High Energy Particle Detector (HEPD) is one of the equipment comprising ISSS and the main objective of HEPD is to measure the high energy particles streaming into the Earth radiation belt during the event of a space storm, especially, electrons and protons, to obtain the flux information of those particles. For the design of HEPD, the Geometrical Factor was calculated to be 0.05 to be consistent with the targets of measurement and the structure of telescope with field of view of $33.4^{\circ}$ was designed using this factor. In order to decide the thickness of the detector sensor and the classification of the detection channels, a simulation was performed using GEANT4. Based on the simulation results, two silicon detectors with 1 mm thickness were selected and the aluminum foil of 0.05 mm is placed right in front of the silicon detectors to shield low energy particles. The detection channels are divided into an electron channel and two proton channels based on the measured LET of the particle. If the measured LET is less than 0.8 MeV, the particle belongs to the electron channel, otherwise it belongs to proton channels. HEPD is installed in the direction of $0^{\circ}$, $45^{\circ}$, $90^{\circ}$ against the along-track of a satellite to enable the efficient measurement of high energy particles. HEPD detects electrons with the energy of 0.1 MeV to several MeV and protons with the energy of more than a few MeV. Thus, the study on the dynamic mechanism of these particles in the Earth radiation belt will be performed.