Modelling and investigation of the pneumo-olfactory function of humans
Our previous studies show that the lung diffusing capacity - the parameter characterizing alveolar (gas exchange) performance - depends on the effective diffusivity of the alveolar region, morphology of the domain (boundaries between the domain constituents, red blood cell distribution, etc.), and t...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Research Report |
| Published: |
2008
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| Online Access: | http://hdl.handle.net/10356/7006 |
| _version_ | 1811692564399521792 |
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| author | Vladimir Kulish Ng, Eddie Yin Kwee Lim, Chu Sing Murali Damodaran Alexei Sourin |
| author2 | School of Mechanical and Aerospace Engineering |
| author_facet | School of Mechanical and Aerospace Engineering Vladimir Kulish Ng, Eddie Yin Kwee Lim, Chu Sing Murali Damodaran Alexei Sourin |
| author_sort | Vladimir Kulish |
| collection | NTU |
| description | Our previous studies show that the lung diffusing capacity - the parameter characterizing alveolar (gas exchange) performance - depends on the effective diffusivity of the alveolar region, morphology of the domain (boundaries between the domain constituents, red blood cell distribution, etc.), and the initial conditions imposed on the alveolar region. These initial conditions can significantly vary depending on the flow conditions in the conductive zone of the respiratory duct and the physical properties of the duct itself. Thus, for instance, the presence of solid micro-particles or other volatile components in the breathing air can affect the alveolar performance. Therefore, a numerical simulation of the "two-phase" air flow is necessary in order to determine the entrance conditions in the alveolar region. In order to perform a numerical simulation of the "two-phase" air flow, one has to know the outside breathing conditions - for instance, chemical components entering the respiratory duct.
1. Diagnostics of diffusion limited respiratory diseases.
2. To study the impact of the second phase present in the air on the respiratory function.
3. Pneumo-olfactory studies (modeling).
4. To develop a mathematical model and algorithm of the human olfactory function, including smell perception and recognition.
5. Side-products of the project. |
| first_indexed | 2024-10-01T06:37:47Z |
| format | Research Report |
| id | ntu-10356/7006 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T06:37:47Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/70062023-03-04T18:08:27Z Modelling and investigation of the pneumo-olfactory function of humans Vladimir Kulish Ng, Eddie Yin Kwee Lim, Chu Sing Murali Damodaran Alexei Sourin School of Mechanical and Aerospace Engineering DRNTU::Engineering::Bioengineering Our previous studies show that the lung diffusing capacity - the parameter characterizing alveolar (gas exchange) performance - depends on the effective diffusivity of the alveolar region, morphology of the domain (boundaries between the domain constituents, red blood cell distribution, etc.), and the initial conditions imposed on the alveolar region. These initial conditions can significantly vary depending on the flow conditions in the conductive zone of the respiratory duct and the physical properties of the duct itself. Thus, for instance, the presence of solid micro-particles or other volatile components in the breathing air can affect the alveolar performance. Therefore, a numerical simulation of the "two-phase" air flow is necessary in order to determine the entrance conditions in the alveolar region. In order to perform a numerical simulation of the "two-phase" air flow, one has to know the outside breathing conditions - for instance, chemical components entering the respiratory duct. 1. Diagnostics of diffusion limited respiratory diseases. 2. To study the impact of the second phase present in the air on the respiratory function. 3. Pneumo-olfactory studies (modeling). 4. To develop a mathematical model and algorithm of the human olfactory function, including smell perception and recognition. 5. Side-products of the project. 2008-09-18T05:58:51Z 2008-09-18T05:58:51Z 2005 2005 Research Report http://hdl.handle.net/10356/7006 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Bioengineering Vladimir Kulish Ng, Eddie Yin Kwee Lim, Chu Sing Murali Damodaran Alexei Sourin Modelling and investigation of the pneumo-olfactory function of humans |
| title | Modelling and investigation of the pneumo-olfactory function of humans |
| title_full | Modelling and investigation of the pneumo-olfactory function of humans |
| title_fullStr | Modelling and investigation of the pneumo-olfactory function of humans |
| title_full_unstemmed | Modelling and investigation of the pneumo-olfactory function of humans |
| title_short | Modelling and investigation of the pneumo-olfactory function of humans |
| title_sort | modelling and investigation of the pneumo olfactory function of humans |
| topic | DRNTU::Engineering::Bioengineering |
| url | http://hdl.handle.net/10356/7006 |
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