- Tytuł:
- Prediction of Inner Grooved Circular Jet Flow with Artificial Neural Networks
- Autorzy:
- Inan, A.
- Powiązania:
- https://bibliotekanauki.pl/articles/1033472.pdf
- Data publikacji:
- 2017-03
- Wydawca:
- Polska Akademia Nauk. Instytut Fizyki PAN
- Tematy:
-
47.27.wg
42.79.Ta - Opis:
- In this study, an artificial neural network model was established by using experimental measurement values obtained from a low-speed subsonic wind tunnel, with the length of 75 cm and experiment test section of 32× 32 cm². Model results were compared with experimental values and then, the prediction was made for the unmeasured tunnel stream values. In the wind tunnel, the jet velocity of 25 m/s and four tunnel velocities of 0, 5, 10 and 20 m/s were used. At four measurement stations x/D=0.3, x/D=12.5, x/D=31.2 and x/D=50, experimental measurements were made using a hot wire anemometer. This study is the continuation of the work done by Inan and Sisman [T. Inan, T. Sisman, Acta Phys. Pol. A 127, 1145 (2015)]. Inner grooved circular jet flows at x/D=0.3 and x/D=50 stations with average tunnel flow velocities of 7.5 m/s and 15 m/s were studied by using artificial neural networks.
- Źródło:
-
Acta Physica Polonica A; 2017, 131, 3; 403-405
0587-4246
1898-794X - Pojawia się w:
- Acta Physica Polonica A
- Dostawca treści:
- Biblioteka Nauki
Artykuł