• 제목/요약/키워드: W-beam

검색결과 1,046건 처리시간 0.035초

Flat-panel CRT with channel guides

  • Vissenberg, M.C.J.M.;Ijzerman, W.L.;Cortenraad, H.M.R.;Hiddink, M.G.H.
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2003년도 International Meeting on Information Display
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    • pp.126-129
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    • 2003
  • Electron beam guides hold the promise of a flat-panel display based on CRT technology. We propose to integrate the periodic focusing electrodes of such beam guides on a glass channel plate for a robust and simple design. The feasibility of this idea is tested numerically and experimentally.

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AC PDP에서 레이저 흡수법을 이용한 유지전극의 위치에 따른 제논 여기종 원자의 밀도 측정 (Influence of Sustain Electrode Gap on Excited Xenon Atom in the Metastable State by Laser Absorption Spectroscopy in AC PDP)

  • 이준호;임정은;이혜정;손창길;정세훈;이수범;유나름;한용규;오필용;문민욱;고병덕;정진만;문한섭;박기덕;안정철;홍진우;조광섭;최은하
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2005년도 춘계학술대회 논문집 디스플레이 광소자 분야
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    • pp.131-134
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    • 2005
  • PDP 방전 셀의 최적화 및 진공자외선 발광효율을 향상시키기 위한 목적으로 AC - PDP 미소방전에서 제논 여기종 원자의 밀도를 측정하는 레이저 흡수법을 개발하였다. 본 연구에서는 PDP 셀의 기체 압력을 350Torr, 제논 함량 10%로 고정하고, 전극 위에서의 여러 위치에서 준안정 준위 제논의 밀도를 흡수법으로 측정하였다. 실험 결과 제논 여기종의 밀도의 최대값은 전극의 위치(가장자리에서 안쪽으로의 거리)가 $50{\mu}m$, $120{\mu},\;150{\mu}m$ 일 때 $3.5{\times}10^{12}cm^{-3}$, $2.8{\times}10^{12}cm^{-3}$, $2.2{\times}10^{12}cm^{-3}$로 나타났다.

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Predicting residual moment capacity of thermally insulated RC beams exposed to fire using artificial neural networks

  • Erdem, Hakan
    • Computers and Concrete
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    • 제19권6호
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    • pp.711-716
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    • 2017
  • This paper presents a method using artificial neural networks (ANNs) to predict the residual moment capacity of thermally insulated reinforced concrete (RC) beams exposed to fire. The use of heat resistant insulation material protects concrete beams against the harmful effects of fire. If it is desired to calculate the residual moment capacity of the beams in this state, the determination of the moment capacity of thermally insulated beams exposed to fire involves several consecutive calculations, which is significantly easier when ANNs are used. Beam width, beam effective depth, fire duration, concrete compressive and steel tensile strength, steel area, thermal conductivity of insulation material can influence behavior of RC beams exposed to high temperatures. In this study, a finite difference method was used to calculate the temperature distribution in a cross section of the beam, and temperature distribution, reduction mechanical properties of concrete and reinforcing steel and moment capacity were calculated using existing relations in literature. Data was generated for 336 beams with different beam width ($b_w$), beam account height (h), fire duration (t), mechanical properties of concrete ($f_{cd}$) and reinforcing steel ($f_{yd}$), steel area ($A_s$), insulation material thermal conductivity (kinsulation). Five input parameters ($b_w$, h, $f_{cd}$, $f_{yd}$, $A_s$ and $k_{insulation}$) were used in the ANN to estimate the moment capacity ($M_r$). The trained model allowed the investigation of the effects on the moment capacity of the insulation material and the results indicated that the use of insulation materials with the smallest value of the thermal conductivities used in calculations is effective in protecting the RC beam against fire.