Overview
Profile summary
I am currently a member of the technical team in the School of Engineering, Computing and Mathematics and am responsible for the Energy and Sustainability lab. This facility allows under-graduate and post-graduate students to come and put into practice the theory learnt in thermodynamics and fluid mechanics modules using a range of experimental tools. As part of this role, I am also responsible for all aspects of our closed return sub-sonic wind tunnel. Prior to this I was a founding member of DesignFlow, an engineering design and analysis consultancy based within the School of Engineering Computing and Mathematics through which I was involved in a range of research and commercial projects, primarily involving CFD analysis. Typical projects included performance analysis of marine propellers, analysis of building aerodynamics and engine cooling system performance prediction.
Teaching interests
MECH545 - Advanced Computational Fluid Dynamics and Finite Element Analysis MECH539 - Computer Aided Engineering
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 4 Quality Education
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Collaborations and top research areas from the last five years
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Research output
- 2 Article
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Quantifying and reducing the cost of tagging: Combining computational fluid dynamics and diving experiments to reduce impact from animal-borne tags
McKnight, J. C., Pass, C., Thompson, D., Balfour, S., Brasseur, S. M. J. M., Embling, C., Hastie, G., Milne, R., Kyte, A., Moss, S. E. W., Pemberton, R. & Russell, D. J. F., 6 Nov 2024, In: Proceedings of the Royal Society B: Biological Sciences. 291, 2034, 20241441.Research output: Contribution to journal › Article › peer-review
Open AccessFile41 Downloads (Pure) -
A computational fluid dynamics (CFD) based method for assessing the hydrodynamic impact of animal borne data loggers on host marine mammals
Kyte, A., Pass, C., Pemberton, R., Sharman, M. & McKnight, J. C., 8 Apr 2019, In: Marine Mammal Science. 35, 2, p. 364-394 31 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile12 Downloads (Pure)
Theses
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A Computational Fluid Dynamics (CFD) Based Assessment of Animal Borne Data Logger Impact
Pass, C. (Author), Collins, K. (Director of Studies (First Supervisor)), Embling, C. (Other Supervisor) & Pemberton, R. (Other Supervisor), 2025Student thesis: PhD
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