<p>This study presents a robust technique for the direct measurement of surface temperature and heat flux in high-temperature environments, overcoming traditional limitations such as limited sensor installation space. By embedding thermocouple sensors near the surface within a ductile metal block, the method minimizes thermal stress and enhances measurement accuracy. Heat flux is calculated from the measured temperature using a one-dimensional transient heat conduction approach, thereby reducing reliance on indirect computational models. The technique was experimentally validated with water impinging jet cooling on a block heated to 600 °C and 900 °C, where the embedded sensors successfully recorded spatial and temporal variations in heat flux, achieving a maximum of 8.3 MW/m<sup>2</sup>. This approach demonstrates high-resolution, stable operation suitable for industrial conditions. Its reliability and applicability for process evaluation, heat exchanger optimization, and advanced cooling system development mark a significant advancement over conventional indirect methods, particularly in harsh thermal environments where accurate, real-time data is critical.</p>

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Advanced embedded array techniques for mapping heat flux during water jet cooling

  • Hyo Chang Cho,
  • Seung Min Lee,
  • Jeung Sang Go

摘要

This study presents a robust technique for the direct measurement of surface temperature and heat flux in high-temperature environments, overcoming traditional limitations such as limited sensor installation space. By embedding thermocouple sensors near the surface within a ductile metal block, the method minimizes thermal stress and enhances measurement accuracy. Heat flux is calculated from the measured temperature using a one-dimensional transient heat conduction approach, thereby reducing reliance on indirect computational models. The technique was experimentally validated with water impinging jet cooling on a block heated to 600 °C and 900 °C, where the embedded sensors successfully recorded spatial and temporal variations in heat flux, achieving a maximum of 8.3 MW/m2. This approach demonstrates high-resolution, stable operation suitable for industrial conditions. Its reliability and applicability for process evaluation, heat exchanger optimization, and advanced cooling system development mark a significant advancement over conventional indirect methods, particularly in harsh thermal environments where accurate, real-time data is critical.