• Journal of the Korean Crystal Growth and Crystal Technology
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• v.10 no.5
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• pp.356-361
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• 2000

The radial position of OiSF-ring has been meaningful data in industry. Thus it's position was calculated by application of (V/G)/sub crit/ = 0.138 ㎟/minK and point defect dynamics for industrial scale grower with various pull rates. After the calculation, compared with experimental result. OiSF-ring diameters expected with calculation were good agreement with experimental results. In order to show validity of the predicted temperature distribution using STHAMAS which is one of the global simulator for Cz crystal growing, temperature was measured along the axis of crystal using thermocouples, and compared with the calculated temperature. We found the effective thermal conductivity K/sub m/ (r) which gives in accordance with the temperature distribution at the axis of crystal and crystal/melt interface shape between experimental and computational results. Therefore, effective thermal conductivity K/sub m/ (r) was applied instead of solving melt convection problem.

• Smart Structures and Systems
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• v.25 no.6
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• pp.733-749
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• 2020

This study presents a computer vision-based approach for representing time evolution of structural damages leveraging a database of inspection images. Spatially incoherent but temporally sorted archival images captured by robotic cameras are exploited to represent the damage evolution over a long period of time. An access to a sequence of time-stamped inspection data recording the damage growth dynamics is premised to this end. Identification of a structural defect in the most recent inspection data set triggers an exhaustive search into the images collected during the previous inspections looking for correspondences based on spatial proximity. This is followed by a view synthesis from multiple candidate images resulting in a single reconstruction for each inspection round. Cracks on concrete surface are used as a case study to demonstrate the feasibility of this approach. Once the chronology is established, the damage severity is quantified at various levels of time scale documenting its progression through time. The proposed scheme enables the prediction of damage severity at a future point in time providing a scope for preemptive measures against imminent structural failure. On the whole, it is believed that the present study will immensely benefit the structural inspectors by introducing the time dimension into the autonomous condition assessment pipeline.

• International Journal of Naval Architecture and Ocean Engineering
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• v.2 no.1
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• pp.24-33
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• 2010

Design of a Pump Jet Propulsor (PJP) was undertaken for an underwater body with axisymmetric configuration using axial/low compressor design techniques supported by Computational Fluid Dynamics (CFD) analysis for performance prediction. Experimental evaluation of the PJP was earned out through experiments in a Wind Tunnel Facility (WTF) using momentum defect principle for propulsive performance prior to proceeding with extensive experimental evaluation in towing tank and cavitation tunnel. Experiments were particularly conducted with respect to Self Propulsion Point (SPP), residual torque and thrust characteristics over a range of vehicle advance ratio in order to ascertain whether sufficient thrust is developed at the design condition with least possible imbalance torque left out due to residual swirl in the slip stream. Pumpjet and body models were developed for the propulsion tests using Aluminum alloy forged material. Tests were conducted from 0 m/s to 30 m/s at four rotational speeds of the PJP. SPP was determined confirming the thrust development capability of PJP. Estimation of residual torque was carried out at SPP corresponding to speeds of 15, 20 and 25 m/s to examine the effectiveness of the stator. Estimation of thrust and residual torque was also carried out at wind speeds 0 and 6 m/s for PJP RPMs corresponding to self propulsion tests to study the propulsion characteristics during the launch of the vehicle m water where advance ratios are close to Zero. These results are essential to assess the thrust performance at very low advance ratios to accelerate the body and to control the body during initial stages. This technique has turned out to be very useful and economical method for quick assessment of overall performance of the propulsor and generation of exhaustive fluid dynamic data to validate CFD techniques employed.

• Proceedings of the Korean Vacuum Society Conference
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• 2000.02a
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• pp.168-168
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• 2000

Yamada 등의 덩어리 증착에 관한 연구 이후 낮은 기판 온도에서 결정성이 뛰어난 금속박막성장(thin film growth)을 얻을 수 있는 방법으로 최근 덩어리 증착(cluster depositon) 방법에 관하여 많은 연구들이 진행되어 덩어리 충돌이 원자 충돌인 경우와 큰 차이를 보이는 결과를 얻었으며, 덩어리 증착시 기판 내부에 점결함(point defect)이 발생되지 않는다는 중요한 결과를 얻었다. 금속 덩어리를 사용한 금속박막성장은 높은 박막성장속도와 뛰어난 구조 재배열 효과를 얻을 수 있으며 기판의 격자 손상을 감소시키기 때문에 향후 나노미터 소자 개발에 응용성이 클 것으로 예상된다. 그러나 금속 덩어리와 금속 표면사이의 상호작용에서 발생되는 기본적인 역학(mechanism)은 분명하게 알려져 있지 않다. 지금까지 알루미늄 덩어리의 원자구조와 특성에 관한 연구는 수행되어졌지만 (4,5), 알루미늄 덩어리 증착에 관한 연구는 수행되지 않았다. 본 연구에서는 13~177개로 이루어진 큰 알루미늄 덩어리들의 증착에 관하여 Md(molecular dynamics) 방법을 사용하여 연구하였다. MD 시뮬레이션을 사용하여 덩어리 증착시 기판 표면과의 충돌 초기에 나타나는 덩어리 내부 원자들의 상관충돌효과(correlated collisions effect)에 의하여 덩어리 크기에 따른 증착현상과 여러 물리적 현상들을 관찰하였다. 덩어리 총 에너지가 증가할수록 기판의 최고 온도는 증가하며, 덩어리 크기가 클수록 상관충돌효과가 커지기 때문에 덩어리의 총 에너지에 다른 최고 증가 비율은 적어졌다. 시간에 따른 비정렬 원자수(disordered atom number) 비교를 통하여 덩어리가 클수록 구조 재배열이 더 잘 이루어진다는 것을 알 수 있었고, 원자당 에너지가 클수록 덩어리 원자들이 기판 내부로 더 깊이 들어갔고, 덩어리 크기가 클수록 상관충돌효과로 인하여 덩어리 원자들이 기판 내부로 더 깊이 들어가는 것을 알 수 있었고, 덩어리 크기가 클수록 상관충돌효과는 커지고 더욱 부드러운 증착이 이루어졌으며, 무엇보다도 덩어리 증착시 표면에서 구조 재배열이 잘 이루어지는 특징을 살펴볼 수 있었다. 이러한 알루미늄 덩어리를 생성하여 증착할 수 있을 경우, 뛰어난 재배열 효과를 이용하여 품질이 향상된 반도체 소자를 제조할 수 있을 것으로 사료된다.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.41 no.6
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• pp.25-31
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• 2004

In this paper, we introduce kinetic Monte Carlo (kMC) methods for simulating diffusion process in nano-scale device fabrication. At first, we review kMC theory and backgrounds and give a simple point defect diffusion process modeling in thermal annealing after ion (electron) implantation into Si crystalline substrate to help understand kinetic Monte Carlo methods. kMC is a kind of Monte Carlo but can simulate time evolution of diffusion process through Poisson probabilistic process. In kMC diffusion process, instead of. solving differential reaction-diffusion equations via conventional finite difference or element methods, it is based on a series of chemical reaction (between atoms and/or defects) or diffusion events according to event rates of all possible events. Every event has its own event rate and time evolution of semiconductor diffusion process is directly simulated. Those event rates can be derived either directly from molecular dynamics (MD) or first-principles (ab-initio) calculations, or from experimental data.