Research Article
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Year 2024, Volume: 10 Issue: 1, 21 - 35, 31.01.2024
https://doi.org/10.18186/thermal.1428999

Abstract

References

  • References
  • [1] Gibson J, Loddenkemper R, Sibille Y, Lundback B, Fletcher M. Lung health in Europe, facts and numbers. Europe Lung White Book. 2013.
  • [2] Mutlu GM, Factor P. Alveolar epithelial beta2-adrenergic receptors. Am J Respir Cell Mol Biol 2008;38:127–134. [CrossRef]
  • [3] Buels KS, Fryer AD. Muscarinic receptor antagonists: effects on pulmonary function. Handb Exp Pharmacol 2012;208:317–341. [CrossRef]
  • [4] Bickel S, Popler J, Lesnick B, Eid N. Impulse Oscillometry Interpretation and Practical Applications. Chest 2014;146:841-847. [CrossRef]
  • [5] Kızılırmak E, Turgut O. Bio-heat transfer in cancer treatment using cryo-freezing method. J Therm Eng 2021;7:1885-1897. [CrossRef]
  • [6] Shugata A, Erwin S, Ahmad FI, Muhammad HH, Zahir H. Thermal Resistance and Pressure Drop Minimization for a Micro-gap Heat Sink with Internal Micro-fins by Parametric Optimization of Operating Conditions. CFD Lett 2021;13:100–112. [CrossRef]
  • [7] Ali MH, Sapit AB, Abed QA, Abbas MS, Saheb BA, Muhammed N, et al. Thermal Performance of Corrugated Solar Air Heater Integrated with Nanoparticles to Enhanced the Phase Change Material (PCM). Int J Mech Mechatron Eng 2019;19.
  • [8] Hasen SS, Kareem RS, Ali HA. Mathematical Analysis of Peristaltic Pumps for Fene-P model subject to Hall and Joule impact. Iraqi J Sci 2022;63:3141–3152. [CrossRef]
  • [9] Zedan AJ, Faris MR, Bdaiwi AK. Performance Assessment of Shirin Earth Dam in Iraq Under Various Operational Conditions. Tikrit J Eng Sci 2022;29:61–74. [CrossRef]
  • [10] Shugata A, Erwin S, Ahmad FI, Muhammad HH, Zahir H. Thermal Resistance and Pressure Drop Minimization for a Micro-gap Heat Sink with Internal Micro-fins by Parametric Optimization of Operating Conditions. CFD Lett 2021;13:100–112. [CrossRef]
  • [11] Han B, Hirahara H. Effect of Gas Oscillation Induced Irreversible Flow in Transitional Bronchioles of Human Lung. J Flow Control Meas Vis 2016;4:171-193. [CrossRef]
  • [12] Schmidt A, Zidowitz S, Kriete A, Denhard T, Krass S, Peitgen HO. A digital reference model of the human bronchial tree. Comput Med Imaging Graph 2004;28:203–211. [CrossRef]
  • [13] Kitaoka H, Takaki R, Suki B. A three-dimensional model of the human tree. J Appl Physiol 1999;87:2207–2217. [CrossRef]
  • [14] Walters DK, Luke WH. A Method for Three-Dimensional Navier–Stokes Simulations of Large-Scale Regions of the Human Lung Airway. J Fluids Eng 2010;132:422-429. [CrossRef]
  • [15] Yang XL, Liu Y, Luo HY. Respiratory flow in obstructed airways. J Biomech 2006;39:2743-2751. [CrossRef]
  • [16] Tena AF, Fernandez J, Alvarez E, Casan P, Walters DK. Design of a numerical model of lung by means of a special boundary condition in the truncated branches. Int J Numer Meth Biomed Eng 2016. [CrossRef]
  • [17] Sul B, Wallqvist A, Morris MJ, Reifman J, Rakeesh V. A Computational Study of the Respiratory Airflow Characteristics in Normal and Obstructed Human Airways. Comput Biol Med 2014;52:130- 143. [CrossRef]
  • [18] Gemchi T, Ponvayin V, Chen H, Collins R. CFD Simulation of Airflow in a 17-Generation Digital Reference Model of the Human Bronchial Tree. Ser Biomech 2007;23:2047-2054. [CrossRef]
  • [19] Choi S, Miyawaki S, Lin CL. A Feasible Computational Fluid Dynamics Study for Relationships of Structural and Functional Alterations with Particle Depositions in Severe Asthmatic Lungs. Comput Math Methods Med 2018. [CrossRef]
  • [20] Miyawaki S, Tawhai MH, Hoffman EA, Lin C. Effect of Carrier Gas Properties on Aerosol Distribution in a CT-based Human Airway Numerical Model. Ann Biomed Eng 2012;40:14951507. [CrossRef]
  • [21] Freitag L, Ernst A, Unger M, Kovitz K, Marquette CH. A proposed classification system of central airway stenosis. Eur Respir J 2007;30:712. [CrossRef]
  • [22] Costanzo LS. Board Review Series, Physiology. Lippincott Williams & Wilkins; 2011.
  • [23] Sasko B, Thiem U, Christ M, Trappe H-J, Ritter O, Pagonas N. Size matters: An observational study investigating estimated height as a reference size for calculating tidal volumes if low tidal volume ventilation is required. PLoS ONE 2018;13:e0199917. [CrossRef]
  • [24] Zhao K, Scherer PW, Shoreh AH, Dalton P. Effect of Anatomy on Human Nasal Air Flow and Odorant Transport Patterns: Implications for Olfaction. Chem Senses 2004;29:365–379. [CrossRef]
  • [25] ANSYS. ANSYS fluent theory guide. ANSYS, Inc., Technology Drive Canonsburg, PA 15317. 2022.
  • [26] De Rochefort L, Vial L, Fodil R, Maitre X, Louis B, Isabey D, Caillibotte G, Thiriet M, Bittoun J, Durand E, Sbirlea-Apiou G. In vitro validation of computational fluid dynamic simulation in human proximal airways with hyperpolarized 3He magnetic resonance phase-contrast velocimetry. J Appl Physiol 2007;102:2012–2023. [CrossRef]
  • [27] Lin EL, Bock JM, Zdanski CJ, Kimbell JS, Garcia GJM. Relationship Between Degree of Obstruction and Airflow Limitation in Subglottic Stenosis. Laryngoscope 2018;1551–1557. [CrossRef]
  • [28] Ho CY, Liao HM, Tu CY, Huang CY, Shih CM, Chen JH, et al. Numerical analysis of airflow alteration in central airways following tracheobronchial stent placement. Exp Hematol Oncol 2012;1:23. [CrossRef]
  • [29] Qi S, Li Z, Yue Y, Han JW, Triest V, Kang Y, Qian W. Simulation analysis of deformation and stress of tracheal and main bronchial wall for subjects with left pulmonary artery sling. J Mech Med Biol 2015;2. [CrossRef]
  • [30] Zhu L, Gong X, Liu J, Li Y, Zhong Y, Shen J, et al. Computational Evaluation of Surgical Design for Multisegmental Complex Congenital Tracheal Stenosis. BioMed Res Int 2020. [CrossRef]
  • [31] Wilcox D. Turbulence Modeling for CFD volume 2. DCW Industries La Canada, CA. 1998.
  • [32] Mylavarapu G, Murugappan S, Mihaescu M, Kalra M, Khosla S, Gutmark E. Validation of CFD methodology used for human upper airway flow simulations. J Biomech 2009;42:1553–1559. [CrossRef]
  • [33] Qi S, Zhang B, Yue Y, Shen J, Teng Y, Qian W, et al. Airflow in Tracheobronchial Tree of Subjects with Tracheal Bronchus Simulated Using CT Image Based Models and CFD Method. J Med Syst 2018;42:6. [CrossRef]
  • [34] De Backer JW, Vos WG, Vinchurkar SC, Claes R. Validation of Computational Fluid Dynamics in CT-based Airway Models with SPEC/CT. Radiology 2010;257:854–862. [CrossRef]
  • [35] Qi S, Zhang B, Teng Y, Li J, Yue Y, Kang Y, Qian W. Transient Dynamics Simulation of Airflow in a CT-Scanned Human Airway Tree: More or Fewer Terminal Bronchi. Comput Math Methods Med 2017. [CrossRef]
  • [36] Yin Y, Choi J, Tawhai MH, Hoffman EA, Lin CL. Simulation of pulmonary air flow with a subject-specific boundary condition. J Biomech 2010;43:2159–2163. [CrossRef]
  • [37] Yin Y, Choi J, Hoffman EA, Tawhai MH, Lin CL. A multiscale MDCT image-based breathing lung model with time-varying regional ventilation. J Comput Phys 2013;24:168–192. [CrossRef]
  • [38] Lin CL, Tawhai MH, Hoffman EA. Characteristics of the Turbulent Laryngeal Jet and its effect on airflow in the human intrathoracic airways. Respir Physiol Neurobiol 2007;157:295–300. [CrossRef]
  • [39] Donzelli J, Brady S. The Effects of Breath-Holding on Vocal Fold Adduction. Arch Otolaryngol Head Neck Surg 2004;130:208–210. [CrossRef]
  • [40] Azarnoosh J, Sreenivas K, Arabshah A. Numerical simulation of tidal breathing through the human respiratory tract. J Biomech Eng 2020;142. [CrossRef]
  • [41] Xu X, Wu J, Weng W, Fu M. Investigation of inhalation and exhalation flow pattern in a realistic human upper airway model by PIV experiments and CFD simulations. Biomech Model Mechanobiol 2020;19:1679–1695. [CrossRef] [CrossRef]
  • [42] Heenan AF, Matida E, Pollard A, Finlay WH. Experimental measurements and computational modeling of the flow field in an idealized human oropharynx. Exp Fluids 2003;35:70–84. [CrossRef]
  • [43] Lambert AR, O’Shaughnessy TP, Tawhai MH, Hoffman EA, Lin CC. Regional Deposition of Particles in an Image-Based Airway Model: Large-Eddy Simulation and Left-Right Lung Ventilation Asymmetry. Aerosol Sci Technol 2011;45:11–25. [CrossRef]

Numerical investigation of the effects of the bronchial stenosis on airflow in human respiratory tract

Year 2024, Volume: 10 Issue: 1, 21 - 35, 31.01.2024
https://doi.org/10.18186/thermal.1428999

Abstract

Obstructive lung diseases are slowly progressing diseases that are characterized by a narrowing of airway diameter and make it harder to breathe. Although obstructive lung diseases have a high mortality rate, there are many clinical methods for early diagnosis such as impulse oscil-lometry, thorax computed tomography scans, and pulmonary function tests. The objective of this study is to investigate the effects of obstructions in main bronchitis on the airflow pattern and provide a better understanding to flow characteristics in healthy and obstructed (bronchi-al obstructions) human airways throughout a tidal breathing pattern. Seven-generation lung airway model of a healthy person was reconstructed from computed tomography (CT) images and additional models were created artificially for investigation of how obstructed airways affect flow characteristics, flow rate, tidal volumes, and air distributions. A person-specific non-uniform pressure inlet boundary condition for 12 breaths per minute was created as a time-dependent pressure profile and implemented in FLUENT software as a macro for dis-tal airways and atmospheric pressure outlet boundary condition defined at the trachea exit. Numerical simulations were carried out in SST k-w turbulence model and validated with an experimental study. Various flow properties such as lobar distribution rates, maximum flow rate changes, and airflow characteristics at different flow rates (quiet breathing-15 L/min and intense activity level-60 L/min) in the carina region, mid-trachea and sagittal section of the trachea were obtained in the human respiratory tract by computationally. The results show that regardless of flow rate, the airflow characteristics are similar for healthy models and mod-els with various stenosis grades during inhalation. In terms of maximum flow rate drop, for both inspiration and expiration phases 16%, 45%, and %80 decreases were observed in OM-I, OM-II, and OM-III, respectively. In line with the decrease in maximum flow rate similar drop, percentages were obtained for tidal volumes. Besides, with the increase of stenosis grade, the inhaled air volume distribution to the right and left upper lobes decreased between 15%-95%.

References

  • References
  • [1] Gibson J, Loddenkemper R, Sibille Y, Lundback B, Fletcher M. Lung health in Europe, facts and numbers. Europe Lung White Book. 2013.
  • [2] Mutlu GM, Factor P. Alveolar epithelial beta2-adrenergic receptors. Am J Respir Cell Mol Biol 2008;38:127–134. [CrossRef]
  • [3] Buels KS, Fryer AD. Muscarinic receptor antagonists: effects on pulmonary function. Handb Exp Pharmacol 2012;208:317–341. [CrossRef]
  • [4] Bickel S, Popler J, Lesnick B, Eid N. Impulse Oscillometry Interpretation and Practical Applications. Chest 2014;146:841-847. [CrossRef]
  • [5] Kızılırmak E, Turgut O. Bio-heat transfer in cancer treatment using cryo-freezing method. J Therm Eng 2021;7:1885-1897. [CrossRef]
  • [6] Shugata A, Erwin S, Ahmad FI, Muhammad HH, Zahir H. Thermal Resistance and Pressure Drop Minimization for a Micro-gap Heat Sink with Internal Micro-fins by Parametric Optimization of Operating Conditions. CFD Lett 2021;13:100–112. [CrossRef]
  • [7] Ali MH, Sapit AB, Abed QA, Abbas MS, Saheb BA, Muhammed N, et al. Thermal Performance of Corrugated Solar Air Heater Integrated with Nanoparticles to Enhanced the Phase Change Material (PCM). Int J Mech Mechatron Eng 2019;19.
  • [8] Hasen SS, Kareem RS, Ali HA. Mathematical Analysis of Peristaltic Pumps for Fene-P model subject to Hall and Joule impact. Iraqi J Sci 2022;63:3141–3152. [CrossRef]
  • [9] Zedan AJ, Faris MR, Bdaiwi AK. Performance Assessment of Shirin Earth Dam in Iraq Under Various Operational Conditions. Tikrit J Eng Sci 2022;29:61–74. [CrossRef]
  • [10] Shugata A, Erwin S, Ahmad FI, Muhammad HH, Zahir H. Thermal Resistance and Pressure Drop Minimization for a Micro-gap Heat Sink with Internal Micro-fins by Parametric Optimization of Operating Conditions. CFD Lett 2021;13:100–112. [CrossRef]
  • [11] Han B, Hirahara H. Effect of Gas Oscillation Induced Irreversible Flow in Transitional Bronchioles of Human Lung. J Flow Control Meas Vis 2016;4:171-193. [CrossRef]
  • [12] Schmidt A, Zidowitz S, Kriete A, Denhard T, Krass S, Peitgen HO. A digital reference model of the human bronchial tree. Comput Med Imaging Graph 2004;28:203–211. [CrossRef]
  • [13] Kitaoka H, Takaki R, Suki B. A three-dimensional model of the human tree. J Appl Physiol 1999;87:2207–2217. [CrossRef]
  • [14] Walters DK, Luke WH. A Method for Three-Dimensional Navier–Stokes Simulations of Large-Scale Regions of the Human Lung Airway. J Fluids Eng 2010;132:422-429. [CrossRef]
  • [15] Yang XL, Liu Y, Luo HY. Respiratory flow in obstructed airways. J Biomech 2006;39:2743-2751. [CrossRef]
  • [16] Tena AF, Fernandez J, Alvarez E, Casan P, Walters DK. Design of a numerical model of lung by means of a special boundary condition in the truncated branches. Int J Numer Meth Biomed Eng 2016. [CrossRef]
  • [17] Sul B, Wallqvist A, Morris MJ, Reifman J, Rakeesh V. A Computational Study of the Respiratory Airflow Characteristics in Normal and Obstructed Human Airways. Comput Biol Med 2014;52:130- 143. [CrossRef]
  • [18] Gemchi T, Ponvayin V, Chen H, Collins R. CFD Simulation of Airflow in a 17-Generation Digital Reference Model of the Human Bronchial Tree. Ser Biomech 2007;23:2047-2054. [CrossRef]
  • [19] Choi S, Miyawaki S, Lin CL. A Feasible Computational Fluid Dynamics Study for Relationships of Structural and Functional Alterations with Particle Depositions in Severe Asthmatic Lungs. Comput Math Methods Med 2018. [CrossRef]
  • [20] Miyawaki S, Tawhai MH, Hoffman EA, Lin C. Effect of Carrier Gas Properties on Aerosol Distribution in a CT-based Human Airway Numerical Model. Ann Biomed Eng 2012;40:14951507. [CrossRef]
  • [21] Freitag L, Ernst A, Unger M, Kovitz K, Marquette CH. A proposed classification system of central airway stenosis. Eur Respir J 2007;30:712. [CrossRef]
  • [22] Costanzo LS. Board Review Series, Physiology. Lippincott Williams & Wilkins; 2011.
  • [23] Sasko B, Thiem U, Christ M, Trappe H-J, Ritter O, Pagonas N. Size matters: An observational study investigating estimated height as a reference size for calculating tidal volumes if low tidal volume ventilation is required. PLoS ONE 2018;13:e0199917. [CrossRef]
  • [24] Zhao K, Scherer PW, Shoreh AH, Dalton P. Effect of Anatomy on Human Nasal Air Flow and Odorant Transport Patterns: Implications for Olfaction. Chem Senses 2004;29:365–379. [CrossRef]
  • [25] ANSYS. ANSYS fluent theory guide. ANSYS, Inc., Technology Drive Canonsburg, PA 15317. 2022.
  • [26] De Rochefort L, Vial L, Fodil R, Maitre X, Louis B, Isabey D, Caillibotte G, Thiriet M, Bittoun J, Durand E, Sbirlea-Apiou G. In vitro validation of computational fluid dynamic simulation in human proximal airways with hyperpolarized 3He magnetic resonance phase-contrast velocimetry. J Appl Physiol 2007;102:2012–2023. [CrossRef]
  • [27] Lin EL, Bock JM, Zdanski CJ, Kimbell JS, Garcia GJM. Relationship Between Degree of Obstruction and Airflow Limitation in Subglottic Stenosis. Laryngoscope 2018;1551–1557. [CrossRef]
  • [28] Ho CY, Liao HM, Tu CY, Huang CY, Shih CM, Chen JH, et al. Numerical analysis of airflow alteration in central airways following tracheobronchial stent placement. Exp Hematol Oncol 2012;1:23. [CrossRef]
  • [29] Qi S, Li Z, Yue Y, Han JW, Triest V, Kang Y, Qian W. Simulation analysis of deformation and stress of tracheal and main bronchial wall for subjects with left pulmonary artery sling. J Mech Med Biol 2015;2. [CrossRef]
  • [30] Zhu L, Gong X, Liu J, Li Y, Zhong Y, Shen J, et al. Computational Evaluation of Surgical Design for Multisegmental Complex Congenital Tracheal Stenosis. BioMed Res Int 2020. [CrossRef]
  • [31] Wilcox D. Turbulence Modeling for CFD volume 2. DCW Industries La Canada, CA. 1998.
  • [32] Mylavarapu G, Murugappan S, Mihaescu M, Kalra M, Khosla S, Gutmark E. Validation of CFD methodology used for human upper airway flow simulations. J Biomech 2009;42:1553–1559. [CrossRef]
  • [33] Qi S, Zhang B, Yue Y, Shen J, Teng Y, Qian W, et al. Airflow in Tracheobronchial Tree of Subjects with Tracheal Bronchus Simulated Using CT Image Based Models and CFD Method. J Med Syst 2018;42:6. [CrossRef]
  • [34] De Backer JW, Vos WG, Vinchurkar SC, Claes R. Validation of Computational Fluid Dynamics in CT-based Airway Models with SPEC/CT. Radiology 2010;257:854–862. [CrossRef]
  • [35] Qi S, Zhang B, Teng Y, Li J, Yue Y, Kang Y, Qian W. Transient Dynamics Simulation of Airflow in a CT-Scanned Human Airway Tree: More or Fewer Terminal Bronchi. Comput Math Methods Med 2017. [CrossRef]
  • [36] Yin Y, Choi J, Tawhai MH, Hoffman EA, Lin CL. Simulation of pulmonary air flow with a subject-specific boundary condition. J Biomech 2010;43:2159–2163. [CrossRef]
  • [37] Yin Y, Choi J, Hoffman EA, Tawhai MH, Lin CL. A multiscale MDCT image-based breathing lung model with time-varying regional ventilation. J Comput Phys 2013;24:168–192. [CrossRef]
  • [38] Lin CL, Tawhai MH, Hoffman EA. Characteristics of the Turbulent Laryngeal Jet and its effect on airflow in the human intrathoracic airways. Respir Physiol Neurobiol 2007;157:295–300. [CrossRef]
  • [39] Donzelli J, Brady S. The Effects of Breath-Holding on Vocal Fold Adduction. Arch Otolaryngol Head Neck Surg 2004;130:208–210. [CrossRef]
  • [40] Azarnoosh J, Sreenivas K, Arabshah A. Numerical simulation of tidal breathing through the human respiratory tract. J Biomech Eng 2020;142. [CrossRef]
  • [41] Xu X, Wu J, Weng W, Fu M. Investigation of inhalation and exhalation flow pattern in a realistic human upper airway model by PIV experiments and CFD simulations. Biomech Model Mechanobiol 2020;19:1679–1695. [CrossRef] [CrossRef]
  • [42] Heenan AF, Matida E, Pollard A, Finlay WH. Experimental measurements and computational modeling of the flow field in an idealized human oropharynx. Exp Fluids 2003;35:70–84. [CrossRef]
  • [43] Lambert AR, O’Shaughnessy TP, Tawhai MH, Hoffman EA, Lin CC. Regional Deposition of Particles in an Image-Based Airway Model: Large-Eddy Simulation and Left-Right Lung Ventilation Asymmetry. Aerosol Sci Technol 2011;45:11–25. [CrossRef]
There are 44 citations in total.

Details

Primary Language English
Subjects Thermodynamics and Statistical Physics
Journal Section Articles
Authors

Ufuk Demir This is me 0000-0001-7662-9348

Celal Satıcı This is me 0000-0002-5457-9551

Filiz Koşar This is me 0000-0001-5707-2716

Hasan Güneş This is me 0000-0001-7616-4624

Publication Date January 31, 2024
Submission Date September 24, 2022
Published in Issue Year 2024 Volume: 10 Issue: 1

Cite

APA Demir, U., Satıcı, C., Koşar, F., Güneş, H. (2024). Numerical investigation of the effects of the bronchial stenosis on airflow in human respiratory tract. Journal of Thermal Engineering, 10(1), 21-35. https://doi.org/10.18186/thermal.1428999
AMA Demir U, Satıcı C, Koşar F, Güneş H. Numerical investigation of the effects of the bronchial stenosis on airflow in human respiratory tract. Journal of Thermal Engineering. January 2024;10(1):21-35. doi:10.18186/thermal.1428999
Chicago Demir, Ufuk, Celal Satıcı, Filiz Koşar, and Hasan Güneş. “Numerical Investigation of the Effects of the Bronchial Stenosis on Airflow in Human Respiratory Tract”. Journal of Thermal Engineering 10, no. 1 (January 2024): 21-35. https://doi.org/10.18186/thermal.1428999.
EndNote Demir U, Satıcı C, Koşar F, Güneş H (January 1, 2024) Numerical investigation of the effects of the bronchial stenosis on airflow in human respiratory tract. Journal of Thermal Engineering 10 1 21–35.
IEEE U. Demir, C. Satıcı, F. Koşar, and H. Güneş, “Numerical investigation of the effects of the bronchial stenosis on airflow in human respiratory tract”, Journal of Thermal Engineering, vol. 10, no. 1, pp. 21–35, 2024, doi: 10.18186/thermal.1428999.
ISNAD Demir, Ufuk et al. “Numerical Investigation of the Effects of the Bronchial Stenosis on Airflow in Human Respiratory Tract”. Journal of Thermal Engineering 10/1 (January 2024), 21-35. https://doi.org/10.18186/thermal.1428999.
JAMA Demir U, Satıcı C, Koşar F, Güneş H. Numerical investigation of the effects of the bronchial stenosis on airflow in human respiratory tract. Journal of Thermal Engineering. 2024;10:21–35.
MLA Demir, Ufuk et al. “Numerical Investigation of the Effects of the Bronchial Stenosis on Airflow in Human Respiratory Tract”. Journal of Thermal Engineering, vol. 10, no. 1, 2024, pp. 21-35, doi:10.18186/thermal.1428999.
Vancouver Demir U, Satıcı C, Koşar F, Güneş H. Numerical investigation of the effects of the bronchial stenosis on airflow in human respiratory tract. Journal of Thermal Engineering. 2024;10(1):21-35.

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