Skip to main content
Log in

Regression analysis about humidity elimination and reduction conductivity from JP8 via a hydrophilic polymer

  • Published:
Petroleum Chemistry Aims and scope Submit manuscript

Abstract

The present study exports a regression equation which describes the variation of humidity and reduction conductivity of JP8 (F34) with time. A hydrophilic polymer is used to eliminate humidity from JP8 and the regression analysis shows that the maximum decrease of humidity in an hour it is of about ∼39% and conductivity’s in two hours it is of about ∼36% respectively. The elimination of humidity makes the fuel suitable for car machines and gives combustion with less pollution for the environment. Thus, the quality of the fuel as well as its combustion efficiency can be improved while the reduction of water concentration enhances the secure of the combustion machine’s operation.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. C. D. Rakopoulos, D. T. Hountalas, D. C. Rakopoulos, and Y. A. Levendis, Energy Fuels, 18, 1302 (2004).

    Article  CAS  Google Scholar 

  2. J. Lee, D. Duddy, M. Thurston, and D. Beardslee, SAE Technical Paper 2011-01-0332, 2011, doi: 10.4271/2011-01-0332.

  3. ASTM D2624-09 Standard Test Methods for Electrical Conductivity of Aviation and Distillate Fuels.

  4. ASTM D2276-06 Standard Test Method for Particulate Contaminant in Aviation Fuel by Line Sampling, 2006.

  5. ASTM D2624-09 Standard Test Methods for Electrical Conductivity of Aviation and Distillate Fuels.

  6. J. Durbin and G. S. Watson, Biometrika, 37, 409 (1950).

    CAS  Google Scholar 

  7. R. F. Engle, Econometrica, 50, 1987 (1982).

    Article  Google Scholar 

  8. C. M. Jarque and A. K. Bera, Int. Statistical Rev., 55, 163 (1987).

    Article  Google Scholar 

  9. E. Chuvieco, D. Riano, I. Aguado, and D. Cocero, Int. J. Remote Sensing, 23, 2145 (2002).

    Article  Google Scholar 

  10. M. Xu, Y. Fan, J. Yuan, et al., Int. J. Energy Res. 157 (1999).

  11. D. Carter, D. A. Rogers, and B. J. Simkins, “Does Fuel Hedging Make Economic Sense? The Case of the US Airline Industry,” in AFA 2004 San Diego Meetings, 2002.

  12. G. Cebrat, A. Karagiannidis, and A. Papadopoulos, Management Environ. Quality: An Int. J., 19, 740 (2008).

    Article  Google Scholar 

  13. C. G. Tsanaktsidis, S. G. Christidis, and G. T. Tzilantonis, Int. J. Environ. Sci. Development 2, 8 (2011).

    Google Scholar 

  14. I. N. Grishina, S. T. Bashkatova, I. M. Kolesnikov, and A. Marvan, Pet. Chem., 49, 512 (2009).

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to C. G. Tsanaktsidis.

Additional information

The article is published in the original.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Tsanaktsidis, C.G., Christidis, S.G., Sariannidis, N. et al. Regression analysis about humidity elimination and reduction conductivity from JP8 via a hydrophilic polymer. Pet. Chem. 52, 447–451 (2012). https://doi.org/10.1134/S0965544112060138

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S0965544112060138

Keywords

Navigation