Modeling and Numerical Simulation Analysis of Chemical Plume in Flow Field

Abstract:

A new discrete chemical plume model based on CFD was established, which avoids the shortcomings of the current model. In this model CFD was applied to simulate the turbulent environment of chemical plume, while the chemical substances contained in the plume were modeled as discrete phase. Utilizing this model, chemical plume under water was simulated numerically and analyzed hereafter. The transport characteristics of simulated plume were consistent with existing experimental results. Based on the simulation results, the effect of flow field on plume transport was also analyzed. The model proves an efficient approach to simulate the transport process in different environment, as well as analyze various types of actual situations. Moreover, this model can provide the theoretical basis for plume tracking algorithm research and simulation platform, which promotes significantly the research on chemical plume tracking.

• Periodical: Advanced Materials Research (Volumes 971-973)
• Pages: 93-97
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.971-973.93
• Online since: June 2014
• Authors: Xiang Yao Meng*, Zhi Ming Qiu, Peng Zhang
• Keywords: Chemical Plume, Computational Fluid Dynamics (CFD), Discrete Phase, Transport Characteristic

References

[1] Russell R A. Tracking chemical plumes in 3-dimensions[C] /Robotics and Biomimetics, 2006. ROBIO'06. IEEE International Conference on. IEEE, 2006: 31-36.

DOI: 10.1109/robio.2006.340274

[2] Ronald L. Woodfin. Trace Chemical Sensing of Explosives [M]. New Jersey: John Wiley & Sons, (2007).

[3] Balkovsky E, Shraiman B I. Olfactory search at high Reynolds number[J]. Proceedings of the national academy of sciences, 2002, 99(20): 12589-12593.

DOI: 10.1073/pnas.192393499

[4] Farrell J A, Murlis J, Long X, et al. Filament-based atmospheric dispersion model to achieve short time-scale structure of odor plumes[J]. Environmental fluid mechanics, 2002, 2(1-2): 143-169.

DOI: 10.21236/ada399832

[5] Sutton J, Li W. Development of CPT_M3D for multiple chemical plume tracing and source identification[C]/Machine Learning and Applications, 2008. ICMLA'08. Seventh International Conference on. IEEE, 2008: 470-475.

DOI: 10.1109/icmla.2008.64

[6] Li Fei. Multi-Robot Odor-Source Localization in Turbulence Dominated Airflow Environments.

[7] Liu Z, Lu T. A simulation framework for plume-tracing research[C]/Australasian Conference on Robotics and Automation (2008: Canberra, ACT). version: http: / www. araa. asn. au/ acra/ acra2008/contents. html. (2008).

[8] Li Juncai. Study on the Realization Method of Active Olfaction Based on Multi-Agent [D]. Tianjin University, (2007).

[9] Zhang Zhaoshun, Cui Guixiang, Xu Chunxiao. Theory and Modeling of Turbulence[M]. Beijing: Tsinghua University Press, (2005).

[10] Ridge M M. Three-dimensional simulation of pollutant dispersion in coastal waters[D]. Universitat Politècnica de Catalunya, (2002).