Upper airways modelling and validation of mandibular advancement surgery

Nik Ghazali, Nik Nazri and Badruddin, Irfan Anjum and Abdul Latif, Mohd Faruq and Abdullah, Mohd Faris and Ibrahim, Norliza and Mohd Razi, Roziana and Tuan Ya, Tuan Mohammad Yusoff Shah and Badruddin, Irfan Anjum and Kamangar, Sarfaraz and Zedan, ASA and Khan, Abdul Azeem (2025) Upper airways modelling and validation of mandibular advancement surgery. Bio-Medical Materials and Engineering, 36 (5). pp. 1-14. ISSN 1878-3619

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Abstract

Background: Most Obstructive Sleep Apnoea (OSA) treatments use cross-sectional examination of the Upper Airways (UA) to determine decreasing gap and UA length. Surgery is detrimental to all OSA patients, stressing the need for better assessment. Objective: This study integrates Computational Fluid Dynamics (CFD) with physical model validation to improve OSA prediction and turbulence model accuracy and dependability. Methods: The k-omega SST turbulence model is used to analyse OSA using CFD. SLS is used to build a physical model of the UA for CFD simulations. The UA’s physical model is then compared to the OSA-recommended CFD turbulence model to verify simulation-physical reality coherence. Result: The average UA pressure differential decreases considerably after mandibular advancement surgery. The Turbulent Kinetic Energy (TKE) increases after surgery, indicating more turbulence. Cross-validation of the physical model confirms the OSA CFD turbulence simulation’s validity. Conclusion: The study concludes that matching UA simulations with physical models improves OSA assessments. CFD with established physical models is a reliable method for assessing OSA therapy, especially surgical operations. The post-surgery increase in TKE needs more study to determine its effects on OSA treatment outcomes.

Item Type:	Article
Uncontrolled Keywords:	OSA, Mandibular advancement surgery, CFD, Physical validation
Divisions:	Faculty Of Mechanical Technology And Engineering
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	11 Dec 2025 02:40
Last Modified:	11 Dec 2025 02:40
URI:	http://eprints.utem.edu.my/id/eprint/29187
Statistic Details:	View Download Statistic

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