On the thermal performance of a three-dimensional cross-ternary hybrid nanofluid over a wedge using a Bayesian regularization neural network approach
oleh: Shah Syed Zahir Hussain, Khan Shabeer, Saadeh Rania, Wahab Hafiz Abdul, Madhukesh Javali Kotresh, Khan Umair, Ishak Anuar, Hussain Syed Modassir
| Format: | Article |
|---|---|
| Diterbitkan: | De Gruyter 2024-10-01 |
Deskripsi
Studying the flow of ternary nanofluids [Ag, Cu, MoS2] holds significant importance in both science and engineering. Ternary nanofluids are vital in advancing thermal management systems, heat exchangers, aerospace, and materials processing applications.