• Korean Chemical Engineering Research
• /
• 제57권3호
• /
• pp.425-431
• /
• 2019

As rechargeable metal-air batteries will be ideal energy storage devices in the future, an active cathode electrocatalyst is required with bi-functionality on both oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) during discharge and charge, respectively. Here, a class of perovskite cathode catalyst with a micro-tubular structure has been developed by controlling bi-functionality from different Ru and Ni dopant ratios. A micro-tubular structure is achieved by the activated carbon fiber (ACF) templating method, which provides uniform size and shape. At the perovskite formula of $LaCrO_3$, the dual dopant system is successfully synthesized with a perfect incorporation into the single perovskite structure. The chemical oxidation states for each Ni and Ru also confirm the partial substitution to B-site of Cr without any changes in the major perovskite structure. From the electrochemical measurements, the micro-tubular feature reveals much more efficient catalytic activity on ORR and OER, comparing to the grain catalyst with same perovskite composition. By changing the Ru and Ni ratio, the $LaCr_{0.8}Ru_{0.1}Ni_{0.1}O_3$ micro-tubular catalyst exhibits great bi-functionality, especially on ORR, with low metal loading, which is comparable to the commercial catalyst of Pt and Ir. This advanced catalytic property on the micro-tubular structure and Ru/Ni synergy effect at the perovskite material may provide a new direction for the next-generation cathode catalyst in metal-air battery system.

• 한국전산구조공학회논문집
• /
• 제32권3호
• /
• pp.141-147
• /
• 2019

본 논문에서는 체계적인 설계법을 통해 다중 빔 형성을 위한 빔 분배기의 설계를 소개한다. 본 연구의 목표는 산란하는 마이크로파를 다중 방향으로 진행하는 빔으로 변환시키는 빔 분배기를 설계하는 것이다. 기존의 이론 기반 접근법으로는 불특정 방향으로의 다중 빔 분배가 어렵다. 그러므로 본 연구에서는 기존의 이론 기반 접근법인 변환광학 이론이 아닌 체계적인 설계 방법인 페이즈 필드 설계법을 통해 최적의 빔 분배기 구조를 설계하였다. 목적함수는 각 방향으로 특정 지점의 전기장 세기의 표준값을 최대화로 설정하였다. 섬 형상의 구조를 피하고 하나의 연결된 구조를 얻기 위해 증강된 라그랑지안을 사용하여 체적 제약조건을 설정하였다. 목표 주파수는 X-band의 주파수 대역의 10GHz이다. 설계된 최적 형상의 빔 분배기는 다중 빔 형성 성능을 잘 보였고, 목표 영역에 전달되는 전기 에너지는 증가하였다. 또한 설계가 유효한 주파수 대역을 평가하기 위해 X-band 대역에 대해 주파수 대역 성능 평가를 수행하였다.

• 한국정보통신학회논문지
• /
• 제23권4호
• /
• pp.438-444
• /
• 2019

차량의 보급 증가와 함께 신규 도로 건설 및 기존 도로의 확장이 늘어나고 있으며, 이와 함께 도로 위 다양한 위험들은 비례적으로 증가하고 있다. 이러한 위험들은 크게 고정위험과 가변위험들로 나타나고 있으며, 현재는 내비게이션을 통해 과속, 사고다발, 낙석주의 등에 대한 고정위험이 운전자에게 안내되고 있다. 그러나 도로위험정보는 고정위험정보보다 가변위험정보가 그 위험성이 높다 할 수 있는데, 가변위험 정보의 경우 맵 회사들이 수기로 정보를 입력하고 있는데, 이는 실시간성이 떨어지며, 돌발 위험에 대한 대응이 되지 않는다. 이에 본 논문에서는 이러한 문제점을 해결하고 실시간 위험정보를 운전자에게 안내하여 공공이익에 기여할 수 있는 도로위험정보알림 장치에 대해 제안하고 구현하여 도로 위 위험정보의 활용에 대한 방향성을 제시한다.

• 한국도시철도학회논문집
• /
• 제6권4호
• /
• pp.393-399
• /
• 2018

레일의 잔류응력은 레일의 피로 및 파괴 특성에 영향을 끼치는 인자로서, 레일의 가공 및 열처리 등 생산 과정 단계에서 이미 형성되며, 이를 정확하게 분석하는 기술은 매우 중요한 문제이다. 본 연구에서는 레일 내부에 존재하는 잔류응력을 측정하기 위하여, 잔류응력 분석방법의 하나인 파괴법 기반 굴곡측정법을 적용하여 레일 축 방향의 잔류응력을 평가하였다. 레일의 축 방향과 수직한 단면을 방전가공을 사용하여 느린 속도로 단면을 절단한 후 레이저 기반인 굴곡 측정기를 이용하여 단면의 굴곡을 정밀 측정하였다. 측정된 데이터는 유한요소해석 프로그램 ABAQUS를 활용하여 설정한 요소로 잔류응력으로 변환시켰으며, 총 3종의 다른 규격을 갖고 있는 신 레일 (50N, KR60, UIC60)의 잔류응력 값의 경향과 수치를 비교하였다.

• Tribology and Lubricants
• /
• 제37권5호
• /
• pp.151-163
• /
• 2021

Since the discovery of single-layer graphene, exploiting graphene's excellent physical/chemical properties in tribology systems has been a topic of interest in academia over the last few decades. There is no doubt that understanding the underlying friction mechanism of graphite should precede this. Even now, new properties of graphene are being reported in academia, and based on this, studies exploring the origins of graphene's surface properties and friction characteristics in a wide range of scales are also being performed. From the perspective of lubrication engineering, graphene research can be largely divided into studies that 1) reveal its basic friction mechanism at the nanoscale and 2) explore its application in macroscale sliding systems. At the nanoscale, the basic friction mechanism of graphene is mainly due to its atomic thickness. In this paper, the various research on the nanoscale friction and surface characteristics of graphene is reviewed. Graphene surface properties, such as wettability and surface energy and the basic friction mechanisms of graphene attributed to adhesion, electronphonon scattering, bending stiffness, and the underlying substrate, are summarized. Further, we provide the research outcomes on the superlubricity of graphene. Finally, the potential application and challenges of the superlubricity of graphene are highlighted. Through this, we intend to provide summarized information to researchers interested in the tribological properties of graphene and help set the direction of future research.

• 한국재료학회지
• /
• 제29권11호
• /
• pp.684-689
• /
• 2019

Single crystals, which have complexed composition, are fabricated by solid state grain growth. However, it is hard to achieve stable properties in a single crystal due to trapped pores. Aerosol deposition (AD) is suitable for fabrication of single crystals with stable properties because this process can make a high density coating layer. Because of their unique features (nano sized grains, stress inner site), it is hard to fabricate single crystals, and so studies of grain growth behavior of AD film are essential. In this study, a $BaTiO_3$ coating layer with ${\sim}9{\mu}m$ thickness is fabricated using an aerosol deposition method on (100) and (110) cut $SrTiO_3$ single crystal substrates, which are adopted as seeds for grain growth. Each specimen is heat-treated at various conditions (900, 1,100, and $1,300^{\circ}C$ for 5 h). $BaTiO_3$ layer shows different growth behavior and X-ray diffraction depending on cutting direction of $SrTiO_3$ seed. Rectangular pillars at $SrTiO_3$ (100) and laminating thin plates at $SrTiO_3$ (110), respectively, are observed.

• 터널과지하공간
• /
• 제30권6호
• /
• pp.591-602
• /
• 2020

기존의 전통적인 암석절삭방식의 한계점을 극복하고자 다양한 신개념의 암석절삭메커니즘이 연구되고 있으며, 그 중 언더커팅은 최근 연구가 수행되고 있는 기술이다. 본 논문에서는 언더커팅에 대한 기초연구로서 구동형 언더커팅에 의한 암석절삭메커니즘과 절삭에 관여하는 중요핵심변수들에 대하여 소개하였다. 구동형 언더커팅에 의한 절삭성능을 평가하기 위한 시험시스템을 구축하고 이를 활용하여 주요 핵심변수들을 변화시켜가며 구동형 언더커팅 디스크를 활용한 절삭시험을 수행하였다. 구동형 언더커팅 절삭시험으로부터 획득되는 3방향 커터작용력의 특성을 분석하였으며, ADC의 주요 절삭변수인 선형 이동속도, 법선압입깊이, 편심의 증가에 따라 3방향 커터작용력의 평균값과 최댓값은 모두 선형적으로 증가하는 결과를 나타내었다.

• 대한건축학회논문집:구조계
• /
• 제34권4호
• /
• pp.75-82
• /
• 2018

BIM(Building Information Modeling) based design process can initiatively conduct a task through all phases from early design step to construction and maintenance step. Also BIM efficiently manage the building's energy by reflecting 3D design and construction life cycle. This paper proposes an efficient process to build AHU's BIM-based library. This study involves analyzing an AHU model for development of design module, and making the template model using the same 12 parts including the shapes of ducts, doors and frames. In consideration of each shape's direction and the status of existence, which are detailed shapes of parts upon making the template model, all the shapes of the AHU model can be expressed. By applying parametric modeling to the template model, a quick and precise modification and transformation can be conducted, thus the efficiency is enhanced. A user selects an AHU model from a 2D model selection program, and extracts shape information. The final AHU shape is completed through the automation work of unnecessary shape deletion by bringing the extracted shape information to the template model. This enables the user to build efficient AHU's BIM-based library, since the quick and precise modification and transformation of the template model are possibile, and all AHU model shapes can be expressed.

• Journal of the Korean Physical Society
• /
• 제73권9호
• /
• pp.1393-1398
• /
• 2018

In conventional single-photon emission computed tomography (SPECT), only the photoelectric events in the detectors are used for image reconstruction. However, if the $^{131}I$ isotope, which emits high-energy radiations (364, 637, and 723 keV), is used in nuclear medicine, both photoelectric and Compton scattering events can be used for image reconstruction. The purpose of our work is to perform simulations for Compton SPECT by using the Geant4 application for tomographic emission (GATE). The performance of Compton SPECT is evaluated and compared with that of conventional SPECT. The Compton SPECT unit has an area of $12cm{\times}12cm$ with four gantry heads. Each head is composed of a 2-cm tungsten collimator and a $40{\times}40$ array of CdZnTe (CZT) crystals with a $3{\times}3mm^2$ area and a 6-mm thickness. Compton SPECT can use not only the photoelectric effect but also the Compton scattering effect for image reconstruction. The correct sequential order of the interactions used for image reconstruction is determined using the angular resolution measurement (ARM) method and the energies deposited in each detector. In all the results of simulations using spherical volume sources of various diameters, the reconstructed images of Compton SPECT show higher signal-to-noise ratios (SNRs) without degradation of the image resolution when compared to those of conventional SPECT because the effective count for image reconstruction is higher. For a Derenzo-like phantom, the reconstructed images for different modalities are compared by visual inspection and by using their projected histograms in the X-direction of the reconstructed images.

• 산업경영시스템학회지
• /
• 제44권4호
• /
• pp.227-233
• /
• 2021

Predictive maintenance has been one of important applications of data science technology that creates a predictive model by collecting numerous data related to management targeted equipment. It does not predict equipment failure with just one or two signs, but quantifies and models numerous symptoms and historical data of actual failure. Statistical methods were used a lot in the past as this predictive maintenance method, but recently, many machine learning-based methods have been proposed. Such proposed machine learning-based methods are preferable in that they show more accurate prediction performance. However, with the exception of some learning models such as decision tree-based models, it is very difficult to explicitly know the structure of learning models (Black-Box Model) and to explain to what extent certain attributes (features or variables) of the learning model affected the prediction results. To overcome this problem, a recently proposed study is an explainable artificial intelligence (AI). It is a methodology that makes it easy for users to understand and trust the results of machine learning-based learning models. In this paper, we propose an explainable AI method to further enhance the explanatory power of the existing learning model by targeting the previously proposedpredictive model [5] that learned data from a core facility (Hyper Compressor) of a domestic chemical plant that produces polyethylene. The ensemble prediction model, which is a black box model, wasconverted to a white box model using the Explainable AI. The proposed methodology explains the direction of control for the major features in the failure prediction results through the Explainable AI. Through this methodology, it is possible to flexibly replace the timing of maintenance of the machine and supply and demand of parts, and to improve the efficiency of the facility operation through proper pre-control.