L. S. Sundar*, Sérgio M. O. Tavares, António M. B. Pereira, Antonio C. M. Sousa
Frontiers in Heat and Mass Transfer, Vol.23, No.1, pp. 131-162, 2025, DOI:10.32604/fhmt.2025.055854
- 26 February 2025
Abstract The experimental analysis takes too much time-consuming process and requires considerable effort, while, the Artificial Neural Network (ANN) algorithms are simple, affordable, and fast, and they allow us to make a relevant analysis in establishing an appropriate relationship between the input and output parameters. This paper deals with the use of back-propagation ANN algorithms for the experimental data of heat transfer coefficient, Nusselt number, and friction factor of water-based Fe3O4-TiO2 magnetic hybrid nanofluids in a mini heat sink under magnetic fields. The data considered for the ANN network is at different Reynolds numbers (239 to 1874),… More >