<p>Jet impingement cooling is a traditional method that provides higher heat transfer rates for cooling components in many engineering applications to increase the life and efficiency of the components. The present work focuses on the experimental measurement of heat transfer on a flat plate, cooled by an obliquely impinging low-speed jet using a recently developed green-spectrum-based temperature-sensitive paint (TSP). The TSP is used to measure temperature distributions on the hot plate (at 333 K) when subjected to a relatively cold jet (298 K). Surface temperature data are extracted from the TSP luminescence emission captured by a charge-coupled device camera. The experiments are performed for different impingement angles and jet exit Reynolds numbers. Heat flux is calculated using the modified Cook-Felderman method, which employs a semi-infinite and finite thickness model for the hot plate. The obtained heat flux is compared with the commercially available differential thermophile heat flux (point) sensor. Temporal self-similarity in heat flux is observed. The corresponding normalized heat flux is identified. A feedforward artificial neural network is trained to link the normalized heat flux distribution with the experimental parameters.</p>

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Usage of Green Spectrum-Based Temperature Sensitive Paint for Heat Transfer Measurement

  • Haricharan Pippari,
  • Keesanth Singh Chandrasekaran,
  • Sathesh Mariappan

摘要

Jet impingement cooling is a traditional method that provides higher heat transfer rates for cooling components in many engineering applications to increase the life and efficiency of the components. The present work focuses on the experimental measurement of heat transfer on a flat plate, cooled by an obliquely impinging low-speed jet using a recently developed green-spectrum-based temperature-sensitive paint (TSP). The TSP is used to measure temperature distributions on the hot plate (at 333 K) when subjected to a relatively cold jet (298 K). Surface temperature data are extracted from the TSP luminescence emission captured by a charge-coupled device camera. The experiments are performed for different impingement angles and jet exit Reynolds numbers. Heat flux is calculated using the modified Cook-Felderman method, which employs a semi-infinite and finite thickness model for the hot plate. The obtained heat flux is compared with the commercially available differential thermophile heat flux (point) sensor. Temporal self-similarity in heat flux is observed. The corresponding normalized heat flux is identified. A feedforward artificial neural network is trained to link the normalized heat flux distribution with the experimental parameters.