• Journal of the Korean Society for Nondestructive Testing
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• v.30 no.2
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• pp.91-97
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• 2010

This paper proposes method to evaluate the location and size of the internal defects of metallic specimens by the shearing phase lock-in infrared thermography. Until now, infrared thermography test for metal specimen of STS304 and Cu-Zn were conducted to find the best test conditions. However, In unspecified situation of the form and existence of defects, there was a disadvantage to takes a long time for finding the optimal experimental conditions. The defect detection and evaluation was performed at 60 MHz signal using lock-in and shearing-phase method under limited heating conditions. By shearing-phase distribution method, Defects for the maximum, minimum and zero points were quantitatively detected at the size and location of the subsurface. As results, application of the proposed technique was verified for STS304 and Cu7-Zn3 with artificial defect and factors affected defect evaluation were searched and analyzed.

• Proceeding of EDISON Challenge
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• 2014.03a
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• pp.492-494
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• 2014

위상부도체(Topological insulator, (TI))는 특이한 금속성 표면 성질을 가지며 이 물질에 대해 많은 물성연구가 이루어져 오고 있다. TI 물질 중 하나인 $Bi_2Se_3$는 스핀트로닉스 또는 양자 컴퓨팅 분야에 전망이 밝은 물질이다. 본 논문에서는 $Bi_2Se_3$ (111) 표면의 산화농도에 대해 조사하였다. 결함이 없는 깨끗한 표면에서는 산소의 농도가 높을 때 에너지적으로 안정하며 표면결함이 있을 때에는 표면결함과 결합한 산소의 농도가 낮을 때 에너지적으로 안정한 것으로 나타났다. $Bi_2Se_3$ (111) 표면 산화 연구에서는 표면 점결함의 존재와 산소 농도를 함께 고려해야 할 것이다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.6
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• pp.834-841
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• 2022

Recently, applying artificial intelligence technologies in various fields of production has drawn an upsurge of research interest due to the increase for smart factory and artificial intelligence technologies. A great deal of effort is being made to introduce artificial intelligence algorithms into the defect detection task. Particularly, detection of defects on the surface of metal has a higher level of research interest compared to other materials (wood, plastics, fibers, etc.). In this paper, we compare and analyze the speed and performance of defect classification by combining machine learning techniques (Support Vector Machine, Softmax Regression, Decision Tree) with dimensionality reduction algorithms (Principal Component Analysis, AutoEncoders) and two convolutional neural networks (proposed method, ResNet). To validate and compare the performance and speed of the algorithms, we have adopted two datasets ((i) public dataset, (ii) actual dataset), and on the basis of the results, the most efficient algorithm is determined.

• Proceedings of the Korean Vacuum Society Conference
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• 1999.07a
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• pp.81-81
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• 1999

고에너지 이온 주입에 의해 형성되는 결함의 거동을 DLTS(deep level transient spectroscopy)를 통해 조사하였다. 이온 주입에 이용된 기판들은 서로 다른 산소 농도를 가지고 있었으며, B 이온의 주입 농도는 각각 5X10E13 ~ 4X10E14으로 주입 에너지는 1.5MeV였다. 이온 주입에 의해 형성된 buried layer 내의 boron의 농도는 SIMS(secondary ion mass spectroscopy)를 이용하여 측정하였으며, 열처리에 따른 이차 결함의 생성은 TEM(transmission electron microscopy) 및 BMD(bulk micro defect)를 조사함으로써 알 수 있었다. 이온 주입에 의해 형성된 일차 결함의 제거 및 silicon 내부에서의 금속 gettering을 위하여 furnace 및 RTA (rapid thermal annealing)를 이용한 열처리를 행하였다. 이온주입 초기 상태 및 산소의 농도 또는 이온주입의 농도에 따른 결함을 살펴보기 위하여 DLTS를 이용하였으며, 또한 열처리에 따른 이러한 초기 결함들의 거동을 조사하여 TEM 및 BMD 결과와 비교, 분석하였다.

• Proceedings of the Korean Nuclear Society Conference
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• 1996.05c
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• pp.329-334
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• 1996

손상 핵연료의 온도 및 산소대 금속 비율의 변화모형을 연구하였다. 열역학적 분석과 산화과정에 대한 분석을 통해 손상핵연료에서의 핵연료 온도와 핵연료내 O/U값 변화를 기술함으로써 결함발생에 의한 핵연료내 냉각수 침투는 Gap conductance를 떨어뜨리고 소결체 산화에 따른 O/U값 증가로 열전달특성의 저하를 가져와 핵연료의 온도를 상승시킨다는 결과를 얻어냈다.

• Journal of the Korean Electrochemical Society
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• v.22 no.1
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• pp.13-21
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• 2019

Prussian blue analogues(PBAs) are comprised of cyano-bridged transition metal ions. The wide and unique open-framework structures of the PBAs enable reversible intercalation and deintercalation of various ions such as $Na^+$, $K^+$, $Mg^{2+}$, $Zn^{2+}$, etc. In addition, since PBAs are synthesized through coprecipitation reaction in aqueous solution at room temperature, they are produced economically and environmentally friendly. However, the formation of crystals proceeds rapidly, and defects such as vacancy and crystal water tend to be present in the crystals, thereby affecting key battery performance. Therefore, significant efforts to inhibit defects in PBAs have been made. In the case of vacancy, the reaction rate was controlled at the synthesis stage to reduce the formation of vacancy, and the crystal water was removed by heat treatment under vacuum. In addition, by adding transition metals that do not react within the structure of PBA, the structural instability during the electrochemical reaction was largely alleviated.

• Proceedings of the KWS Conference
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• 1991.11a
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• pp.89-93
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• 1991

• Electrical & Electronic Materials
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• v.31 no.5
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• pp.6-16
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• 2018

• Proceedings of the Korean Vacuum Society Conference
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• 1993.02a
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• pp.44-45
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• 1993

• Ceramist
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• v.20 no.3
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• pp.48-59
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• 2017