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dc.contributor.authorMcNeil, Megan
dc.date.accessioned2019-11-28T15:19:11Z
dc.date.available2019-11-28T15:19:11Z
dc.identifier.urihttp://hdl.handle.net/10222/76672
dc.description.abstractInhalation anesthesia is delivered using partial rebreathing circuits. The anesthetic compounds are not metabolized, so they can be re-administered to the patient if excess carbon dioxide is removed. There are multiple drawbacks associated with the current carbon dioxide removal technology, including the production of toxic by-products, which may harm the patient. As a result, a membrane separation system has been to replace the current technology. The objective of this thesis project was to develop and experimentally validate a modeling approach to predict and optimize the membrane system performance with sufficient accuracy in a timely manner. To meet these objectives, a segmental model was developed, experimentally validated, and used to study the performance for different patient scenarios. The model is a useful tool for designing and optimizing the performance of a membrane system for a novel application and fulfills the criteria of predicting the dynamic membrane system with acceptable accuracy.en_US
dc.language.isoenen_US
dc.subjectMathematical modelen_US
dc.subjectanesthesiaen_US
dc.subjectseparation processen_US
dc.subjectmembraneen_US
dc.titleDetailed Modeling and Optimization of a Membrane System for Anesthetic Gas Separationen_US
dc.date.defence2017-07-28
dc.contributor.departmentDepartment of Process Engineering and Applied Scienceen_US
dc.contributor.degreeMaster of Applied Scienceen_US
dc.contributor.external-examinerDr. Mark Gibsonen_US
dc.contributor.graduate-coordinatorDr. Suzanne Budgeen_US
dc.contributor.thesis-readerDr. Michael Peggen_US
dc.contributor.thesis-supervisorDr. Jan Haelssigen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.manuscriptsYesen_US
dc.contributor.copyright-releaseNot Applicableen_US
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