Volume 44 Issue 4
Apr.  2018
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Article Contents
LI Chaoyue, FENG Shiyu, SHAO Lei, et al. Experimental analysis of carbon dioxide diffusion coefficient in RP-3 jet fuel[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(4): 765-771. doi: 10.13700/j.bh.1001-5965.2017.0265(in Chinese)
Citation: LI Chaoyue, FENG Shiyu, SHAO Lei, et al. Experimental analysis of carbon dioxide diffusion coefficient in RP-3 jet fuel[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(4): 765-771. doi: 10.13700/j.bh.1001-5965.2017.0265(in Chinese)

Experimental analysis of carbon dioxide diffusion coefficient in RP-3 jet fuel

doi: 10.13700/j.bh.1001-5965.2017.0265
Funds:

Aeronautical Science Foundation of China 20132852040

Postgraduate Research & Practice Innovation Program of Jiangsu Province KYCX17_0279

Technology Innovation Foundation of AVIC 2014D60931R

Special Research Foundation of Civil Aircraft [2016]37

the Fundamental Research Funds for the Central Universities 

Priority Academic Program Development of Jiangsu Higher Education Institutions 

More Information
  • Corresponding author: FENG Shiyu, E-mail: shiyuf@nuaa.edu.cn
  • Received Date: 27 Apr 2017
  • Accepted Date: 31 Aug 2017
  • Publish Date: 20 Apr 2018
  • The rule of mass diffusion of CO2 in jet fuel is an important consideration in the research of the aircraft fuel tank inerting system. A pressure-decay test apparatus was constructed to measure the diffusion coefficient of carbon dioxide in RP-3 jet fuel by monitoring the pressure variation at constant temperature of -20, 0, 20, 40, and 60℃, respectively. The two-dimensional diffusion equation in the hermetic container was derived based on Fick's law, and the concentration distribution was determined via the numerical method with the assumption that diffusion coefficient was known. Then pressure on ullage was predicted by utilizing mass conservation and real gas state equation and the calculating result was compared with the experimental data. By adopting the diffusion coefficient as the independent variable, the error functions as the experimental and theoretical data were derived. The optimum solution to the diffusion coefficient was obtained by Husain single variable search method to minimize the error. The study also reveals that the diffusion coefficient increases with the rise of the temperature, and the Arrhenius equation could be employed to correlate the diffusion coefficient and temperature.

     

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