Afzal, Asif and Khan, Sher Afghan and Islam, Md. Tariqul and Jilte, R. D. and Khan, Ambareen and Soudagar, Manzoore Elahi M (2020) Investigation and back-propagation modeling of base pressure at sonic and supersonic Mach numbers. Physics of Fluids, 32 (9). pp. 1-18. ISSN 1070-6631 E-ISSN 1089-7666
|
PDF
- Published Version
Download (11MB) | Preview |
|
|
PDF (SCOPUS)
- Supplemental Material
Download (217kB) | Preview |
|
|
PDF (WOS)
- Supplemental Material
Download (266kB) | Preview |
Abstract
The experimental analysis of base pressure in a high-speed compressible flow is carried out. The flow is made to expand abruptly from the nozzle into an enlarged duct at fifteen sonic and supersonic Mach numbers. The analysis is made for variation in the nozzle pressure ratio (NPR), length to diameter ratio, and area ratio. The effect of active micro-jets on the base and wall pressure is assessed. The data visualization of the huge experimental data generated is performed using heat maps. For the first time, six back-propagation neural network models (BPMs) are developed based on input and output possibilities to predict the pressure in high-speed flows. The experimental analysis revealed that depending upon the type of expansion, the base pressure changes. A jet of air blown at the base using micro-jets is found to be effective in increasing the base pressure during the under-expansion regime, while the wall pressure remains unaffected. The data visualization provided an insight into the highest impact on the base pressure by the NPR. The six BPMs with two hidden layers having four neurons per layer are found to be most suitable for the regression analysis. BPM 5 and BPM 6 accurately predict the highly non-linear data of the base and wall pressure.
| Item Type: | Article (Journal) |
|---|---|
| Additional Information: | 7395/83245 |
| Uncontrolled Keywords: | base pressure, back-propagation, Mach numbers |
| Subjects: | T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL780 Rockets |
| Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Engineering Kulliyyah of Engineering > Department of Mechanical Engineering |
| Depositing User: | Prof. Dr. Sher Afghan Khan |
| Date Deposited: | 23 Sep 2020 14:18 |
| Last Modified: | 23 Nov 2020 14:45 |
| URI: | http://irep.iium.edu.my/id/eprint/83245 |
Actions (login required)
 |
View Item |
Download Statistics
Download Statistics