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Fractal aspects in O2 enriched combustion

Author

Listed:
  • Souza, J.W.G.
  • Santos, A.A.B.
  • Guarieiro, L.L.N.
  • Moret, M.A.

Abstract

In this study, we investigate the self-affinity of time series of thermal radiation from two fuels, natural gas (NG) and acetylene (AC), enriched with oxygen at 21%, 23% and 25% concentrations during the combustion process. We used the detrended fluctuation analysis method to evaluate the burning process of these fuels. We found a well-defined self-affine aspect for these gases in this dynamic process. Using the proposed method, we were able to characterize the time series of NG as a sub-diffusive process and the time series of AC as a process with persistent self-affinity.

Suggested Citation

  • Souza, J.W.G. & Santos, A.A.B. & Guarieiro, L.L.N. & Moret, M.A., 2015. "Fractal aspects in O2 enriched combustion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 434(C), pages 268-272.
    • Handle: RePEc:eee:phsmap:v:434:y:2015:i:c:p:268-272
    DOI: 10.1016/j.physa.2015.04.021
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    Citations

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    Cited by:

    1. Lahmiri, Salim, 2017. "On fractality and chaos in Moroccan family business stock returns and volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 29-39.
    2. Filho, A.S. Nascimento & Araújo, M.L.V. & Miranda, J.G.V. & Murari, T.B. & Saba, H. & Moret, M.A., 2018. "Self-affinity and self-organized criticality applied to the relationship between the economic arrangements and the dengue fever spread in Bahia," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 619-628.
    3. Lahmiri, Salim, 2016. "Clustering of Casablanca stock market based on hurst exponent estimates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 310-318.
    4. Viacheslav V. Saenko & Vladislav N. Kovalnogov & Ruslan V. Fedorov & Dmitry A. Generalov & Ekaterina V. Tsvetova, 2022. "Numerical Method for Solving of the Anomalous Diffusion Equation Based on a Local Estimate of the Monte Carlo Method," Mathematics, MDPI, vol. 10(3), pages 1-19, February.
    5. Viacheslav V. Saenko & Vladislav N. Kovalnogov & Ruslan V. Fedorov & Yuri E. Chamchiyan, 2021. "Numerical Solution to Anomalous Diffusion Equations for Levy Walks," Mathematics, MDPI, vol. 9(24), pages 1-17, December.

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