Numerical simulation of airflow in diseased human nasal airway

Patient specific 3D computational model of diseased human nasal cavity was developed for pre and post-operative. The three-dimensional computational domain was constructed by CT scan images obtained from a subject having septum deviation, turbinate hypertrophy and concha bullosa. Inhalation rates of...

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Main Authors: Riazuddin, Vizy Nazira, Ahmad, Kamarul Arifin, Tamagawa, Masaaki, Zubair, Mohammad, Abdul Rashid, Nur Hashima, Mazlan, Norkhairunnisa
Format: Conference or Workshop Item
Language:English
Published: Centre for Advanced Research on Energy, Faculty of Mechanical Engineering, Universiti Teknikal Malaysia Melaka 2017
Online Access:http://psasir.upm.edu.my/id/eprint/67113/1/MERD17-1-2.pdf
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author Riazuddin, Vizy Nazira
Ahmad, Kamarul Arifin
Tamagawa, Masaaki
Zubair, Mohammad
Abdul Rashid, Nur Hashima
Mazlan, Norkhairunnisa
author_facet Riazuddin, Vizy Nazira
Ahmad, Kamarul Arifin
Tamagawa, Masaaki
Zubair, Mohammad
Abdul Rashid, Nur Hashima
Mazlan, Norkhairunnisa
author_sort Riazuddin, Vizy Nazira
collection UPM
description Patient specific 3D computational model of diseased human nasal cavity was developed for pre and post-operative. The three-dimensional computational domain was constructed by CT scan images obtained from a subject having septum deviation, turbinate hypertrophy and concha bullosa. Inhalation rates of 7.5 L/min corresponding to low or moderate activity was simulated numerically through the nasal passage. The airflow characteristics was analyzed. Results show that the nasal surgery increased nasal cross section area and volume, which influenced flow partitioning and distribution through the nasal passage.
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spelling upm.eprints-671132019-03-08T06:23:20Z http://psasir.upm.edu.my/id/eprint/67113/ Numerical simulation of airflow in diseased human nasal airway Riazuddin, Vizy Nazira Ahmad, Kamarul Arifin Tamagawa, Masaaki Zubair, Mohammad Abdul Rashid, Nur Hashima Mazlan, Norkhairunnisa Patient specific 3D computational model of diseased human nasal cavity was developed for pre and post-operative. The three-dimensional computational domain was constructed by CT scan images obtained from a subject having septum deviation, turbinate hypertrophy and concha bullosa. Inhalation rates of 7.5 L/min corresponding to low or moderate activity was simulated numerically through the nasal passage. The airflow characteristics was analyzed. Results show that the nasal surgery increased nasal cross section area and volume, which influenced flow partitioning and distribution through the nasal passage. Centre for Advanced Research on Energy, Faculty of Mechanical Engineering, Universiti Teknikal Malaysia Melaka 2017 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/67113/1/MERD17-1-2.pdf Riazuddin, Vizy Nazira and Ahmad, Kamarul Arifin and Tamagawa, Masaaki and Zubair, Mohammad and Abdul Rashid, Nur Hashima and Mazlan, Norkhairunnisa (2017) Numerical simulation of airflow in diseased human nasal airway. In: 4th Mechanical Engineering Research Day 2017 (MERD'17), 30 Mar. 2017, UTeM Library, Melaka. (pp. 90-91).
spellingShingle Riazuddin, Vizy Nazira
Ahmad, Kamarul Arifin
Tamagawa, Masaaki
Zubair, Mohammad
Abdul Rashid, Nur Hashima
Mazlan, Norkhairunnisa
Numerical simulation of airflow in diseased human nasal airway
title Numerical simulation of airflow in diseased human nasal airway
title_full Numerical simulation of airflow in diseased human nasal airway
title_fullStr Numerical simulation of airflow in diseased human nasal airway
title_full_unstemmed Numerical simulation of airflow in diseased human nasal airway
title_short Numerical simulation of airflow in diseased human nasal airway
title_sort numerical simulation of airflow in diseased human nasal airway
url http://psasir.upm.edu.my/id/eprint/67113/1/MERD17-1-2.pdf
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