Computational mass transfer moduling of flow through a photocatalytic oxygen generator
Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2008. === Includes bibliographical references (leaves 45-46). === A self-contained, portable oxygen generator would be extraordinarily useful across a broad spectrum of industries. Both safety and energy-efficienc...
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ndltd-MIT-oai-dspace.mit.edu-1721.1-458162019-05-02T16:28:36Z Computational mass transfer moduling of flow through a photocatalytic oxygen generator Köksal, Erin (Erin Sevim) Todd Thorsen. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Mechanical Engineering. Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2008. Includes bibliographical references (leaves 45-46). A self-contained, portable oxygen generator would be extraordinarily useful across a broad spectrum of industries. Both safety and energy-efficiency could be enhanced tremendously in fields such as coal mining, commercial airlines, and aerospace. A novel device is proposed which employs a photocatalytic process to produce oxygen from water. Oxygen is generated through a reaction that utilizes the interaction between an ultraviolet light and a titanium dioxide thin film to catalyze the decomposition of water into dissolved oxygen and hydrogen ions. The dissolved oxygen is then transported into a volume of gaseous nitrogen through a diffusion process. A pair of parallel microfluidic channels is employed to expedite the oxygen transport by reducing diffusion lengths, and thereby diffusion times. In the following, a computational simulation of the convection-diffusion relation was developed in order to characterize the performance of the proposed microfluidic chip. Specifically, the time to reach airflow steady state is determined for several geometries. Information from fluid dynamic modeling was then used to estimate the system performance characteristics such as power requirements, output oxygen concentration, output flow rate, and rise time of the proposed oxygen generator in a variety of applications. by Erin Köksal. S.B. 2009-06-30T16:21:39Z 2009-06-30T16:21:39Z 2008 2008 Thesis http://hdl.handle.net/1721.1/45816 319424982 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 46 leaves application/pdf Massachusetts Institute of Technology |
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Mechanical Engineering. Köksal, Erin (Erin Sevim) Computational mass transfer moduling of flow through a photocatalytic oxygen generator |
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Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2008. === Includes bibliographical references (leaves 45-46). === A self-contained, portable oxygen generator would be extraordinarily useful across a broad spectrum of industries. Both safety and energy-efficiency could be enhanced tremendously in fields such as coal mining, commercial airlines, and aerospace. A novel device is proposed which employs a photocatalytic process to produce oxygen from water. Oxygen is generated through a reaction that utilizes the interaction between an ultraviolet light and a titanium dioxide thin film to catalyze the decomposition of water into dissolved oxygen and hydrogen ions. The dissolved oxygen is then transported into a volume of gaseous nitrogen through a diffusion process. A pair of parallel microfluidic channels is employed to expedite the oxygen transport by reducing diffusion lengths, and thereby diffusion times. In the following, a computational simulation of the convection-diffusion relation was developed in order to characterize the performance of the proposed microfluidic chip. Specifically, the time to reach airflow steady state is determined for several geometries. Information from fluid dynamic modeling was then used to estimate the system performance characteristics such as power requirements, output oxygen concentration, output flow rate, and rise time of the proposed oxygen generator in a variety of applications. === by Erin Köksal. === S.B. |
author2 |
Todd Thorsen. |
author_facet |
Todd Thorsen. Köksal, Erin (Erin Sevim) |
author |
Köksal, Erin (Erin Sevim) |
author_sort |
Köksal, Erin (Erin Sevim) |
title |
Computational mass transfer moduling of flow through a photocatalytic oxygen generator |
title_short |
Computational mass transfer moduling of flow through a photocatalytic oxygen generator |
title_full |
Computational mass transfer moduling of flow through a photocatalytic oxygen generator |
title_fullStr |
Computational mass transfer moduling of flow through a photocatalytic oxygen generator |
title_full_unstemmed |
Computational mass transfer moduling of flow through a photocatalytic oxygen generator |
title_sort |
computational mass transfer moduling of flow through a photocatalytic oxygen generator |
publisher |
Massachusetts Institute of Technology |
publishDate |
2009 |
url |
http://hdl.handle.net/1721.1/45816 |
work_keys_str_mv |
AT koksalerinerinsevim computationalmasstransfermodulingofflowthroughaphotocatalyticoxygengenerator |
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1719041412861788160 |