CFD Analysis of Air-Conditioned Air Distribution in Passenger Car of a Train
| dc.contributor.advisor | Demiss, Alemu (PhD) | |
| dc.contributor.author | Tadele, Bayu | |
| dc.date.accessioned | 2019-06-24T07:19:04Z | |
| dc.date.accessioned | 2023-11-04T15:16:54Z | |
| dc.date.available | 2019-06-24T07:19:04Z | |
| dc.date.available | 2023-11-04T15:16:54Z | |
| dc.date.issued | 2016-06 | |
| dc.description.abstract | Everyday people spend much time in vehicles. Either riding or driving has become a part of our life. A comfortable thermal sensation brought on occupants contributes a lot to our life and work. On the contrast, a bad and uncomfortable thermal environment may get human ill and even risk their life. Air distributions in the passenger trains are crucial to thermal comfort and air quality. Computational fluid dynamics (CFD) has been playing an important role in evaluating and designing various air distributions. Recent advances in CFD approaches and turbulence models provide a great potential of improving predict on accuracy of air distributions in enclosed environments. The objective of the present research was to investigate the air flow distribution inside the passenger train through the route of Addis Ababa –Djibouti as well as to show the terminate velocity (draft) below 0.7 m/s around the passenger’s necks by use numerical simulations. For the study purpose, the passenger train coach was simulated by creating the model in CATIA & Ansys design modeller and assessed by CFD analysis using commercial code FLUENT (ANSYS14.5) software for solving, analysing and post processing the results. Air flow pattern have been studied in the interior of passenger train within different angle of air diffuser arrangement which are at zero, 15 and 25degress in which their results have showed that the passengers ‘neck area speed were an average 0.681,0.7146 and 0.7057m/s respectively. Its result obtained from the numerical simulation agreed well with the comfort region which is below 0.7 m/s so that the air diffuser arrangement at an angle zero degree is better than the 15 and 25 degrees. Though the numerical simulation provides considerable insight into the theoretical indoor airflow distribution, the underlying assumptions that went into the modelling are questionable. Experimental studies will be necessary to develop a more accurate model if it possible. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/123456789/18560 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | Train | en_US |
| dc.subject | CFD | en_US |
| dc.subject | Air Conditioned | en_US |
| dc.subject | Passenger Car | en_US |
| dc.subject | Air Distribution | en_US |
| dc.title | CFD Analysis of Air-Conditioned Air Distribution in Passenger Car of a Train | en_US |
| dc.type | Thesis | en_US |