Volume 44 Issue 1
Apr.  2024
Turn off MathJax
Article Contents

EXPERIMENTAL AND NUMERICAL ANALYSIS OF HIGH HEAT FLUX SENSOR FOR RE-ENTRY VEHICLE

  • In this work, a detailed investigation into the development of a high heat flux sensor to improve the Thermal Protection System of spacecraft is presented. The research employs a comprehensive approach that integrates both experimental and numerical methodologies. Experimental trials are conducted in a Kinetic heating simulation facility, exposing the Carbon Silica Carbide (CSiC) material to varying heat flux levels and recording its thermal response. CSiC is a composite material composed of carbon fibers embedded in a silica carbide matrix which gives exceptional thermal conductivity, high-temperature resistance, and lightweight properties, making it an ideal candidate for aerospace applications. Subsequently, numerical simulations analyze temperature gradients within the CSiC specimen over time, yielding a partial differential equation that is solved using the finite difference method of both implicit utilizing the Tridiagonal Matrix Algorithm method (TDMA) and explicit methods. Python programming is utilized to implement the numerical solution, predicting the thermal characteristics for three distinct heat flux values (5W/cm², 10W/cm², 15W/cm²). Furthermore, ANSYS Thermal Workbench is employed to provide a comprehensive understanding of the material's thermal behavior and its interaction with the spacecraft environment. The results of experimental and numerical analyses for different heat flux conditions are meticulously compared, focusing particularly on back wall temperatures. Interestingly, the numerical methods employed for the 5 W/cm² heat flux condition yielded superior accuracy and reliability in predicting the thermal behavior of the CSiC material, showcasing the effectiveness of the numerical approach in this specific scenario.

     

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(10)  / Tables(2)

    Article Metrics

    Article views (100) PDF downloads(50) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return