• 제목/요약/키워드: Metal surface network

검색결과 48건 처리시간 0.031초

Long-shape aperture를 갖는 구조물의 Electronic Shielding Effectiveness 연구 (Electronic Shielding Effectiveness of the Structure with Long-shape Aperture)

  • 허유;김민호;김인석;백영남
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2003년도 춘계학술대회 논문집
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    • pp.810-813
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    • 2003
  • Wide spread using of mobile and handy electronic apparatus is giving rise to a question on the harmfulness of health and causing troubles when electical and electronic equipments are in use. This paper reports on the experimental results obtained by using a pliable and structured specimen that has a long shape aperture, made of stainless steel fibers. Based on the TEM mode transfer structure that was designed and manufactured through HFSS, we measured electromagnetic shielding effectives, where the network analyzer was applied. We could draw a conclusion from this research that the metal fabric showed a good electromagnetic shielding effect, mainly by means of the good reflex loss at the fiber surface. Even though the material itself possesses a good absorption loss. the specimen revealed that structural factors. e.g.. the shape of the aperture. the size of the aperture, etc., can have a more influence on the shielding effect than the components of material have. A special notice is required for modeling and analyzing the electromagnetic characteristics of metal fabrics, because there exists a strong possibility that multiple reflection can happen on the surface of metal fibers. which can presume a model of fiber bundle and fabric structure.

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유기박막(Arac.acid)의 누적전이상태에 관한 연구 (A Study on the Deposition Transfer state of Organic Thin Films(Arac.acid))

  • 정헌상;송진원;이경섭;전연수;이우기
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2001년도 춘계학술대회 논문집 센서 박막재료
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    • pp.57-60
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    • 2001
  • The characterization of organic Metal/Insulator/Metal(MIM) devices were investigated from LB films. The physicochemical properties of the LB films were by UV absorption spectrum and AFM. We give pressure stimulation into organic thin films and then manufacture a device under the accumulation condition that the state surface pressure is 2, 10, 30[mN/ml The stable images are probably due to a strong interaction between the monolayer film and glass substrate. We are unable to obtain molecule resolution in images of the films but did see a marked contrast between images of the bare substrate and those with the network structure film deposited onto it.

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Control of Surface Chemistry and Electrochemical Performance of Carbon-coated Silicon Anode Using Silane-based Self-Assembly for Rechargeable Lithium Batteries

  • Choi, Hyun;Nguyen, Cao Cuong;Song, Seung-Wan
    • Bulletin of the Korean Chemical Society
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    • 제31권9호
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    • pp.2519-2526
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    • 2010
  • Silane-based self-assembly was employed for the surface modification of carbon-coated Si electrodes and their surface chemistry and electrochemical performance in battery electrolyte depending on the molecular structure of silanes was studied. IR spectroscopic analyses revealed that siloxane formed from silane-based self-assembly possessed Si-O-Si network on the electrode surface and high surface coverage siloxane induced the formation of a stable solid-electrolyte interphase (SEI) layer that was mainly composed of organic compounds with alkyl and carboxylate metal salt functionalities, and PF-containing inorganic species. Scanning electron microscopy imaging showed that particle cracking were effectively reduced on the carbon-coated Si when having high coverage siloxane and thickened SEI layer, delivering > 1480 mAh/g over 200 cycles with enhanced capacity retention 74% of the maximum discharge capacity, in contrast to a rapid capacity fade with low coverage siloxane.

Polyol Process를 통한 PEM Fuel Cell용 Pt/C촉매 제조 (Preparation of Pt/C catalyst for PEM fuel cells using polyol process)

  • 오형석;김한성
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2006년도 추계학술대회
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    • pp.443-446
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    • 2006
  • Carbon-supported Platinum (Pt) is the potential electro-catalyst material for anodic and cathodic reactions in fuel cell. Catalytic activity of the metal strongly depends on the particle shape, size and distribution of the metal in the porous supportive network. Conventional preparation techniques based on wet impregnation and chemical reduction of the metal precursors often do not provide adequate control of particle size and shape. We have proposed a novel route for preparing nano sized Pt colloidal particles in solution by oxidation of ethylene glycol. These Pt nano particles were deposited on large surface area carbon support. The process of nano Pt colloid formation involves the oxidation of solvent ethylene glycol to mainly glycolic acid and the presence of its anion glycolate depends on the solution pH. In the process of colloidal Pt formation glycolate actsas stabilizer for the Pt colloidal particle and prevents the agglomeration of colloidal Pt particles. These mono disperse Pt particles in carbon support are found uniformly distributed in nearly spherical shape and the size distribution was narrow for both supported and unsupported metals. The average diameter of the Pt nano particle was controlled in the range off to 3 nm by optimizing reaction parameters. Transmission electron microscopy, CV and RRDE experiments were used to compliment the results.

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신경회로망을 이용한 채터진동의 인프로세스 감시

  • 박철;강명창;김정석
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1993년도 추계학술대회 논문집
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    • pp.70-75
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    • 1993
  • Chatter vibration is an unwanted phenomenon in metal cutting and it always affects surface finish, tool life machine life and the productivity of machining process. The In-process monitoring & control of chatter vibration is necessarily required to automation system. In this study, we constructed the multi-sensing system using Tool Dynamometer,Accelerometer and AE(Acoustic Emission) sensor for the credible detection of chatter vibration. And a new approach using a neural network to process the features of multi-sensor for the recognition of chatter vibration in turning operation is proposed. With the back propagation training process, the neural network memorize and classify the feature difference of multi-sensor signals.

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Detection Technique of Fault Phenomena Using Power Parameters in Grinding Process

  • Kwak, Jae-Seob;Ha, Man-Kyung
    • International Journal of Precision Engineering and Manufacturing
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    • 제3권1호
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    • pp.5-12
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    • 2002
  • The grinding process has been mainly used fur finishing metal products as final machining stage. But chatter vibration and bum of a workpiece have a bad effect on the machined surface and should be detected in modern grinding process. This paper deals with a fault detection of the cylindrical plunge grinding process by power parameters. During the grinding process the power signals of an induced motor were sampled and used to determine the relationship between fault and change of power parameters. A neural network was used far detecting the grinding fault and an influence of power parameters to the grinding fault was analyzed.

머신러닝 기반 금속외관 결함 검출 비교 분석 (Comparative analysis of Machine-Learning Based Models for Metal Surface Defect Detection)

  • 이세훈;강성환;신요섭;최오규;김시종;강재모
    • 한국정보통신학회논문지
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    • 제26권6호
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    • pp.834-841
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    • 2022
  • 최근 스마트팩토리와 인공지능 기술의 수요 증가로 인해 다양한 분야에서 인공지능 기술을 적용하는 연구가 진행되고 있다. 결함 검사 분야에서도 인공지능 알고리즘을 도입하기 위한 노력을 기울이고 있다. 특히, 금속 외관의 결함을 검출하는 연구는 다른 소재(목재, 플라스틱, 섬유 등)의 결함을 검출하는 연구에 비해 많은 연구가 이루어지고 있다. 본 논문에서는 머신러닝 기법(서포터 벡터 머신(SVM: Support Vector Machine), 소프트맥스 회귀(Softmax Regression), 결정 트리(Decesion Tree))과 차원 축소 알고리즘(주성분 분석(PCA: Principal Component Analysis), 오토인코더(AutoEncoder))의 9가지 조합과 2가지 합성곱신경망(CNN: Convolutional Neural Network) 기법(자체 알고리즘, ResNet)의 금속 외관의 결함 분류 성능 및 속도를 비교하고 분석하는 연구를 수행하고자 한다. 두 종류의 학습 데이터셋((i) 공용 데이터셋(Public Dataset), (ii) 실측 데이터셋(Actual Dataset))에 대한 실험을 통해 각 데이터셋에 대한 성능 및 속도를 비교 분석하고, 가장 효율적인 알고리즘을 찾아낸다.

경기북부 산업단지 주변 농지의 토양오염도 조사연구 (A Study on Soil Contamination Investigation of Farmland Around Industrial Areas in Northern Gyeonggi Province)

  • 박진호;권경안;정은희;김재광;김지영;오조교
    • 한국환경보건학회지
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    • 제43권5호
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    • pp.393-400
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    • 2017
  • This study was investigated on pH, heavy metals, oils and solvents in 34 surface soil samples and the samples are collected at two times for 17 farmland sites around 7 industrial areas in Northern Gyeonggi Province. As a result of pH for soil contamination monitoring network, the range of pH showed 4.4~8.4 and average was 6.3. The range of pH for Agricultural land around industrial area was 6.7~7.5 and average indicated 7.1 that mostly showed neutral condition in this area. he average concentrations of Cu, Pb, Ni, As and $Cr^{6+}$ are lower than Korea soil contamination worrisome levels at region 1 and the mean levels of farmland from the soil quality monitoring network. The average concentrations of Zn, Cd and Hg didn't exceed the soil contamination worrisome levels at region 1 but slightly higher than the mean levels of farmland from the soil quality monitoring network. The heavy metal levels of all samples are within Korea soil contamination worrisome levels at region 1. The results showed that the detected heavy metal concentrations ranged from N.D. to ~32.7% of Korea soil contamination worrisome levels at region 1. BTEX, TPH, TCE and PCE were not detected in all samples and thus the farmland around the industrial areas were free from oils and solvents contamination.

Demonstration of Time- and Wavelength-Division Multiplexed Passive Optical Network Based on VCSEL Array

  • Mun, Sil-Gu;Lee, Eun-Gu;Lee, Jie Hyun;Park, Heuk;Kang, Sae-Kyoung;Lee, Han Hyub;Kim, Kwangok;Doo, Kyeong-Hwan;Lee, Hyunjae;Chung, Hwan Seok;Lee, Jong Hyun;Lee, Sangsoo;Lee, Jyung Chan
    • ETRI Journal
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    • 제38권1호
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    • pp.9-17
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    • 2016
  • We demonstrate a time- and wavelength-division multiplexed passive optical network system employing a vertical-cavity surface-emitting laser array-based optical line terminal transceiver and a tunable bidirectional optical subassembly-based optical network terminal transceiver. A packet error-free operation is achieved after a 40 km single-mode fiber bidirectional transmission. We also discuss an arrayed waveguide grating, a photo detector array based on complementary metal-oxide-semiconductor photonics technologies, and low-cost key devices for deployment in access networks.

신경회로망을 이용한 가공조건에 따른 원형가공 표면거칠리 평가 (Evaluation of Circle Machining Surface Roughness on the Process Conditions using Neural Network)

  • 성백섭;김일수;차용훈
    • 한국안전학회지
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    • 제17권1호
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    • pp.11-17
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    • 2002
  • The purpose of this study was to present the method to choose the optimization machining condition for the wire electric machine. This was completed by examining the ever-changing quality of the material and by improving the function of the wire electric discharge machine. Precision metal mold products and the unmanned wire electric discharge machining system were used and then applied in industrial fields. This experiment uses the wire electric discharge machine with brass wire electrode of 0.25mm. To measure the precision of the machining surface, average values are obtained from 3 samples of measures of center-line average roughness by using a third dimension gauge and a stylus surface roughness gauge. In this experiment, we changed no-node voltage to 7 and 9, pulse-on-time to $6{\mu}s,\;8{\mu}s$ and $10{\mu}s$, pulse-off-time to $8{\mu}s,\;10{\mu}s$ and $13{\mu}s$, and experimented on wire tension at room temperature by 1000gf, 1200gf, and 1400gf, respectively.