Tackling the Challenges of an Equine Metabolic Mask: Validating a Computational Approach to Simulate Airflow Using 3D Printed Models
Date
2015-09-24
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Abstract
Maximal aerobic capacity (VO2max) is considered the reference for determining an
individual’s level of fitness. To measure VO2max, a subject must perform an incremental fitness test while wearing a facemask that samples expired gases and ventilation rates. In horses, the practicality of VO2max testing in the field is limited by mask design, specifically due to impedance of airflow. The trajectory of airflow as it enters and exits the nasal passage must therefore be fully understood in order to build a functional mask.
Computational fluid dynamics (CFD) was used to model flow patterns and pressure changes at various rates in the equine nasal passage. Results were validated with experimental data obtained from a 3D printed model of a horse head. Preliminary mask designs were investigated using CFD and a current design was tested using the 3D printed model. Data was also collected on sport horses in the field.
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Keywords
Animal Physiology, Veterinary Science, Engineering--Biomedical
Citation
Massie, S. (2015). Tackling the Challenges of an Equine Metabolic Mask: Validating a Computational Approach to Simulate Airflow Using 3D Printed Models (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/27968