Manufacturing and Examination for ITER Blanket First Wall Small-Scale Mockups With KoHLT-EB in Korea

Kim, Suk-Kwon; Jin, Hyung Gon; Shin, Kyong‐Oh; Choi, Byung-Kwon; Lee, Eo Hwak; Yoon, Ji Sup; Jung, Yang‐Il; Lee, Jun Young; Kim, Duck-Hoi

doi:10.1109/tps.2014.2312722

Cited by 9 publications

(2 citation statements)

References 19 publications

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“…The KoHLT-EB (Korea heat load test facility-electron beam) in KAERI (Korea Atomic Energy Research Institute) was used for the HHFT. An 800 kW electron gun (Von Ardenne, Germany) was equipped with a maximum beam power of 300 kW and maximum accelerating voltage of 60 kV, where the allowable target dimension is 70 cm × 50 cm in a vacuum chamber [15]. The surface temperature of the mock-up was monitored by a pyrometer and the local temperature was measured using two K-type thermocouples, which were inserted into a position of 3 mm below tungsten and 2 mm below the Cu/CuCrZr interface.…”

Section: High Heat Flux Test (Hhft) Of Flat-type Tungsten Blocksmentioning

confidence: 99%

A brief summary of tungsten technology development in Korea

Hong

2020

Tungsten

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A review of tungsten technology development in Korea is briefly given. According to the upgrade plan of Korea superconducting tokamak advanced research (KSTAR) tokamak associated with Korean fusion energy R&D program, graphite plasma-facing components will be replaced with tungsten-based ones to handle the high-peak heat load caused by an increase of heating power up to 26 MW. Brazing technique to bond tungsten was developed and tungsten blocks were manufactured. Blocks were installed at the central divertor in KSTAR and exposed to high heat flux. Under high heat flux and long-pulse discharge, tungsten blocks were severely damaged. Molten tungsten materials show movements towards the high field side, which is j×B direction. The COMSOL ® modeling described the melting event quantitatively well. The failure of a water cooling system with a metal wall environment during a long-pulse plasma operation is very critical.

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Section: High Heat Flux Test (Hhft) Of Flat-type Tungsten Blocksmentioning

confidence: 99%

A brief summary of tungsten technology development in Korea

Hong

2020

Tungsten

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“…Ambitious projects boost the development of novel materials for future high quality components. Some outstanding activities are for example found in the manufacturing of wall components for future fusion reactors as presented by Kim et al [KJS*14], the design of novel anode materials for energy storage in batteries as presented by Gyulassy et al [GKLW16], or the analysis of advanced composite components for aeronautic and automotive applications as presented by Bhattacharya et al [BHA*15]. These projects all share the fact that only a detailed understanding of the material systems of interest ensures to met the application specific targets.…”

Section: Introductionmentioning

confidence: 99%

STAR: Visual Computing in Materials Science

Heinzl

Stappen

2017

Computer Graphics Forum

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Visual computing has become highly attractive for boosting research endeavors in the materials science domain. Using visual computing, a multitude of different phenomena may now be studied, at various scales, dimensions, or using different modalities. This was simply impossible before. Visual computing techniques provide novel insights in order to understand complex material systems of interest, which is demonstrated by strongly rising number of new approaches, publishing new techniques for materials analysis and simulation. Outlining the proximity of materials science and visual computing, this state of the art report focuses on the intersection of both domains in order to guide research endeavors in this field. We provide a systematic survey on the close interrelations of both fields as well as how they profit from each other. Analyzing the existing body of literature, we review the domain of visual computing supported materials science, starting with the definition of materials science as well as material systems for which visual computing is frequently used. Major tasks for visual computing, visual analysis and visualization in materials sciences are identified, as well as simulation and testing techniques, which are providing the data for the respective analyses. We reviewed the input data characteristics and the direct and derived outputs, the visualization techniques and visual metaphors used, as well as the interactions and analysis workflows employed. All our findings are finally integrated in a cumulative matrix, giving insights about the different interrelations of both domains. We conclude our report with the identification of open high level and low level challenges for future research.

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