Nanomaterials | |
Analysis of Nanofluid Particles in a Duct with Thermal Radiation by Using an Efficient Metaheuristic-Driven Approach | |
Carlos Andrés Tavera Romero1  Muhammad Sulaiman2  Naveed Ahmad Khan2  Fahad Sameer Alshammari3  | |
[1] COMBA I + D Research Group of Universidad Santiago de Cali, Santiago de Cali 760036, Colombia;Department of Mathematics, Abdul Wali Khan University, Mardan 23200, Pakistan;Department of Mathematics, College of Science and Humanities in Alkharj, Prince Sattam bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia; | |
关键词: porous semipermeable duct; steady two-phase flow; nanofluid; Buongiorno model; magnetic field; artificial intelligence; | |
DOI : 10.3390/nano12040637 | |
来源: DOAJ |
【 摘 要 】
This study investigated the steady two-phase flow of a nanofluid in a permeable duct with thermal radiation, a magnetic field, and external forces. The basic continuity and momentum equations were considered along with the Buongiorno model to formulate the governing mathematical model of the problem. Furthermore, the intelligent computational strength of artificial neural networks (ANNs) was utilized to construct the approximate solution for the problem. The unsupervised objective functions of the governing equations in terms of mean square error were optimized by hybridizing the global search ability of an arithmetic optimization algorithm (AOA) with the local search capability of an interior point algorithm (IPA). The proposed ANN-AOA-IPA technique was implemented to study the effect of variations in the thermophoretic parameter
【 授权许可】
Unknown