| 000 | 02733cam a2200349 a 4500 | ||
|---|---|---|---|
| 003 | EG-GiCUC | ||
| 005 | 20250223031419.0 | ||
| 008 | 160131s2015 ua h f m 000 0 eng d | ||
| 040 |
_aEG-GiCUC _beng _cEG-GiCUC |
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| 041 | 0 | _aeng | |
| 049 | _aDeposite | ||
| 097 | _aM.Sc | ||
| 099 | _aCai01.13.11.M.Sc.2015.Al.F | ||
| 100 | 0 | _aAlaa Sayed Mahmoud Hasan | |
| 245 | 1 | 0 |
_aFlow patterns and temperature distribution in an underground metro station / _cAlaa Sayed Mahmoud Hasan ; Supervised Essam E. Khalil , Mahmoud Fouad , Esmail M. Bialy |
| 246 | 1 | 5 | _aأنماط السريان و توزيع درجات الحرارة داخل محطة مترو الانفاق |
| 260 |
_aCairo : _bAlaa Sayed Mahmoud Hasan , _c2015 |
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| 300 |
_a136 P. : _bfacsimiles ; _c30cm |
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| 502 | _aThesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Mechanical Power Engineering | ||
| 520 | _aThe current thesis work primary discusses and analyzes the simulation of the air flow and thermal patterns in a moving subway train. Numerical simulation of a typical model is presented. The design modeler is used to create the geometric model with parametric features. Commercially available simulation software ANSYS FLUENT 14.0 is incorporated to solve conservation of mass, momentum and energy in the processing of air distribution, and to analyze turbulence affection combined heat transfer on air distribution. In this thesis work, the so - called standard k - f turbulence model, one of the most widespread turbulence models for industrial applications, was utilized. Basic parameters included in this work are air temperature, air velocity, relative humidity and turbulence parameters are used for numerical prediction of indoor air distribution. The increase in number of passengers through the last five years is taken into considerations. Comparisons were made between different cases of ventilation and air-conditioning when (1) the station box is empty of trains, (2) the existence of one train inside the station box, (3) the existence of two trains inside the station box, showing the degree of human comfort within the space in each case. The thermal comfort prediction through this work was based on the PMV (predicted mean vote) model which was estimated using fanger{u2019}s model | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aAir conditioned subway station | |
| 653 | 4 | _aAir conditioned underground | |
| 653 | 4 | _aMetro station | |
| 700 | 0 |
_aEsmail Elbialy , _eSupervisor |
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| 700 | 0 |
_aEssam Eldin Khalil , _eSupervisor |
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| 700 | 0 |
_aMahmoud Ahmed Fouad , _eSupervisor |
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| 856 | _uhttp://172.23.153.220/th.pdf | ||
| 905 |
_aNazla _eRevisor |
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| 905 |
_aSamia _eCataloger |
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| 942 |
_2ddc _cTH |
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| 999 |
_c54809 _d54809 |
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