Analysis on nasal airway by using scale-adaptive simulation combined with standard κ-ω model and 3D printing modeling physical experiment
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摘要
The physiological structure of the upper respiratory tract is complex and varies with each individual, and the circulating air has turbulent performance. In this paper, based on computed tomography(CT) medical images published online and the three-dimensional(3D) printing technology, a 3D model of the human upper respiratory tract was reconstructed and an experimental device of the upper respiratory tract was made. We implemented the respiratory experiment and measured the flow rate, and a scale-adaptive k– model is applied for numerical simulation, the results are in good agreement. The flow field during respiratory was analyzed by coronal velocity cross section, vortex line and particle tracks. We found that the relatively strong shear effect happens at the areas of nasal valve and nasopharynx. In the middle and upper nasal tract, vortex line separation occurs and there is significant passage effect. The results indicate that SAS method is effective in studying upper respiratory airflow.
The physiological structure of the upper respiratory tract is complex and varies with each individual, and the circulating air has turbulent performance. In this paper, based on computed tomography(CT) medical images published online and the three-dimensional(3D) printing technology, a 3D model of the human upper respiratory tract was reconstructed and an experimental device of the upper respiratory tract was made. We implemented the respiratory experiment and measured the flow rate, and a scale-adaptive k– model is applied for numerical simulation, the results are in good agreement. The flow field during respiratory was analyzed by coronal velocity cross section, vortex line and particle tracks. We found that the relatively strong shear effect happens at the areas of nasal valve and nasopharynx. In the middle and upper nasal tract, vortex line separation occurs and there is significant passage effect. The results indicate that SAS method is effective in studying upper respiratory airflow.
The physiological structure of the upper respiratory tract is complex and varies with each individual, and the circulating air has turbulent performance. In this paper, based on computed tomography(CT) medical images published online and the three-dimensional(3D) printing technology, a 3D model of the human upper respiratory tract was reconstructed and an experimental device of the upper respiratory tract was made. We implemented the respiratory experiment and measured the flow rate, and a scale-adaptive k– model is applied for numerical simulation, the results are in good agreement. The flow field during respiratory was analyzed by coronal velocity cross section, vortex line and particle tracks. We found that the relatively strong shear effect happens at the areas of nasal valve and nasopharynx. In the middle and upper nasal tract, vortex line separation occurs and there is significant passage effect. The results indicate that SAS method is effective in studying upper respiratory airflow.
引文
[1]K. Zhao, J. Jiang, What is normal nasal airflow? A computational study of 22 healthy adults, Int Forum Allergy Rhinol 4(2014)435–446.
[2]S.C. Leong, X.B. Chen, H.P. Lee, et al., A review of the implications of computational fluid dynamic studies on nasal airflow and physiology, Rhinology 48(2010)139–145.
[3]M. Zubair, M.Z. Abdullah, R. Ismail, et al., A critical overview of limitations of CFD modeling in nasal airflow, Journal of Medical and Biological Engineering 32(2012)77–84.
[4]F.R. Menter, Y. Egorov, A scale-adaptive simulation model using two-equation models, in:the 43rd AIAA Aerospace Sciences Meeting and Exhibit, 10-13 January, Reno, Nevada, USA(2005)
[5]F.R. Menter, M. Kuntz, R. Bender, A scale-adaptive simulation model for turbulent flow predictions, in:the 43rd AIAA Aerospace Sciences Meeting and Exhibit, 10-13 January, Reno,Nevada, USA(2005)
[6]A. Fossi, A. DeChamplain, B. Akih-Kumgeh, Unsteady RANS and scale adaptive simulations of a turbulent spray flame in a swirled-stabilized gas turbine model combustor using abulated chemistry, International Journal of Numerical Methods for Heat&Fluid Flow 25(2015)1064–1088.
[7]http://www.osirix-viewer.com/datasets/
[8]J.H, Zhu, K.M. Lim, K.T.M. Thong, et al., Assessment of airflow ventilation in human nasal cavity and maxillary sinus before and after targeted sinonasal surgery:A numerical case study,Respiratory Physiology&Neurobiology 194(2014)29–36.
[9]T. Liu, D. Han, J. Wang, et al., Effects of septal deviation on the airflow characteristics:Using computational fluid dynamics models, Acta Oto-laryngologica 132(2012)290–298.
[10]D. Elad, R. Liebenthal, B.L. Wenig, et al., Analysis of air flow patterns in the human nose, Medical and Biological Engineering and Computing 31(1993)585–592.
[11]H.P. Lee, H.J. Poh, F.H. Chong, et al., Changes of airflow pattern in inferior turbinate hypertrophy:A computational fluid dynamics model, American Journal of Rhinology&Allergy 23(2009)153–158.
[12]G.X. Xiong, J.M. Zhan, H.Y. Jiang, et al., Computational fluid dynamics simulation of airflow in the normal nasal cavity and paranasal sinuses, American Journal of Rhinology 22(2008)477–482.
[2]S.C. Leong, X.B. Chen, H.P. Lee, et al., A review of the implications of computational fluid dynamic studies on nasal airflow and physiology, Rhinology 48(2010)139–145.
[3]M. Zubair, M.Z. Abdullah, R. Ismail, et al., A critical overview of limitations of CFD modeling in nasal airflow, Journal of Medical and Biological Engineering 32(2012)77–84.
[4]F.R. Menter, Y. Egorov, A scale-adaptive simulation model using two-equation models, in:the 43rd AIAA Aerospace Sciences Meeting and Exhibit, 10-13 January, Reno, Nevada, USA(2005)
[5]F.R. Menter, M. Kuntz, R. Bender, A scale-adaptive simulation model for turbulent flow predictions, in:the 43rd AIAA Aerospace Sciences Meeting and Exhibit, 10-13 January, Reno,Nevada, USA(2005)
[6]A. Fossi, A. DeChamplain, B. Akih-Kumgeh, Unsteady RANS and scale adaptive simulations of a turbulent spray flame in a swirled-stabilized gas turbine model combustor using abulated chemistry, International Journal of Numerical Methods for Heat&Fluid Flow 25(2015)1064–1088.
[7]http://www.osirix-viewer.com/datasets/
[8]J.H, Zhu, K.M. Lim, K.T.M. Thong, et al., Assessment of airflow ventilation in human nasal cavity and maxillary sinus before and after targeted sinonasal surgery:A numerical case study,Respiratory Physiology&Neurobiology 194(2014)29–36.
[9]T. Liu, D. Han, J. Wang, et al., Effects of septal deviation on the airflow characteristics:Using computational fluid dynamics models, Acta Oto-laryngologica 132(2012)290–298.
[10]D. Elad, R. Liebenthal, B.L. Wenig, et al., Analysis of air flow patterns in the human nose, Medical and Biological Engineering and Computing 31(1993)585–592.
[11]H.P. Lee, H.J. Poh, F.H. Chong, et al., Changes of airflow pattern in inferior turbinate hypertrophy:A computational fluid dynamics model, American Journal of Rhinology&Allergy 23(2009)153–158.
[12]G.X. Xiong, J.M. Zhan, H.Y. Jiang, et al., Computational fluid dynamics simulation of airflow in the normal nasal cavity and paranasal sinuses, American Journal of Rhinology 22(2008)477–482.