• Title/Summary/Keyword: 헤레쇼 셀

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Improvements of Temperature Field Measurement Technique using Neural Network (신경망을 이용한 온도장 측정법 개선 방안)

  • Hwang Tae Gyu;Moon Ji Seob;Chang Tae Hyun;Doh Deog Hee
    • 한국가시화정보학회:학술대회논문집
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    • 2004.11a
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    • pp.52-55
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    • 2004
  • Thermo-chromic Liquid Crystal(TLC) particles were used as temperature sensor for thermal fluid flow. $1K\times1K$ CCD color camera and Xenon Lamp(500W) were used for the visualization of a Hele-Shaw cell. The characteristic between the reflected colors from the TLC and their corresponding temperature shows strong non-linearity. A neural network known as having strong mapping capability for non-linearity is adopted to quantify the temperature field using the image of the flow. Improvements of color-to-temperature mapping was attained by using the local color luminance (Y) and hue (H) information as the inputs for the constructed neural network.

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Improvements of Temperature Field Measurement Technique using Neural Network (신경망 적용의 온도장 측정법 개선 방안)

  • Doh Deog Hee;Kim Dong Hyuk;Bang Kwang Hyun;Moon Ji Seob;Hong Seong Dae;Chang Tae Hyun;Hwang Tae Gyu
    • Journal of Advanced Marine Engineering and Technology
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    • v.29 no.2
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    • pp.209-216
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    • 2005
  • Thermo-chromic Liquid Crystal(TLC) particles were used as temperature sensor for thermal fluid flow. 1K $\times$ 1K CCD color camera and Xenon Lamp(500w) were used for the visualization of a Hele-Shaw cell The characteristic between the reflected colors from the TLC and their corresponding temperature shows strong non-linearity A neural network known as having strong mapping capability for non-linearity is adopted to quantify the temperature field using the image of the flow. Improvements of color-to-temperature mapping was attained by using the local color luminance (Y) and hue (H) information as the inputs for the constructed neural network.