Towards Understanding Empty Nose Syndrome using Computational Fluid Dynamics
2017 master's thesis by Tim Flint at University of Canterbury
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Towards Understanding Empty Nose Syndrome using Computational Fluid Dynamics
Summary
Towards Understanding Empty Nose Syndrome using Computational Fluid Dynamics is a master's thesis[1].
Key Facts
- Towards Understanding Empty Nose Syndrome using Computational Fluid Dynamics's instance of is recorded as master's thesis[2].
- Towards Understanding Empty Nose Syndrome using Computational Fluid Dynamics was published by UC Research Repository[3].
- Towards Understanding Empty Nose Syndrome using Computational Fluid Dynamics's language of work or name is recorded as English[4].
- Towards Understanding Empty Nose Syndrome using Computational Fluid Dynamics's country of origin is recorded as New Zealand[5].
- Towards Understanding Empty Nose Syndrome using Computational Fluid Dynamics was published on 2017[6].
- Towards Understanding Empty Nose Syndrome using Computational Fluid Dynamics's main subject is mechanical engineering[7].
- Towards Understanding Empty Nose Syndrome using Computational Fluid Dynamics's work available at URL is recorded as https://ir.canterbury.ac.nz/handle/10092/14424[8].
- Towards Understanding Empty Nose Syndrome using Computational Fluid Dynamics's title is recorded as Towards Understanding Empty Nose Syndrome using Computational Fluid Dynamics[9].
- Towards Understanding Empty Nose Syndrome using Computational Fluid Dynamics's author name string is recorded as Tim Flint[10].
- Towards Understanding Empty Nose Syndrome using Computational Fluid Dynamics's thesis submitted to is recorded as University of Canterbury[11].
- Towards Understanding Empty Nose Syndrome using Computational Fluid Dynamics's on focus list of Wikimedia project is recorded as NZThesisProject[12].
- Towards Understanding Empty Nose Syndrome using Computational Fluid Dynamics's copyright status is recorded as copyrighted[13].
- Towards Understanding Empty Nose Syndrome using Computational Fluid Dynamics's online access status is recorded as open access[14].
- Towards Understanding Empty Nose Syndrome using Computational Fluid Dynamics's thesis committee member is recorded as Mathieu Sellier[15].
- Towards Understanding Empty Nose Syndrome using Computational Fluid Dynamics's thesis submitted for degree is recorded as Master of Engineering[16].
Body
Designation and Status
Towards Understanding Empty Nose Syndrome using Computational Fluid Dynamics's instance of is recorded as master's thesis[2].