Journal of Nanofluids, Год журнала: 2024, Номер 13(6), С. 1279 - 1294

Опубликована: Дек. 1, 2024

Modelling hypothetical phenomena with a power-law hybrid fluid over spinning disk is the main objective of present effort. In this phase progress, optimization numerical approach that integrates Adaptive Neuro-Fuzzy Inference System (ANFIS) and Particle Swarm Optimization (PSO) to fabricate heat source/sink, non-linear thermal radiation entropy generation has been facilitated. To make sure appropriate self-similarity variables have used convert PDE set s into an ODE. The model’s study findings, few notable exceptions, generally align those from earlier studies included in dataset trained ANFIS-PSO model. visually appealing outcomes for various profiles reflect effects active elements. This illustrates how velocity temperature grow abruptly increasing magnetic field radiation, creating paradox decreasing electric inputs. Also, profile’s tilting source or sink indicates inclination. Additionally, training was examine approximations certain circumstances, effectiveness created assessed by comparing it testing dataset. nanoparticles here, their longer render, might be suitable use biological industrial applications, including exchanger simulation, glass polymer industries, metal plate cooling.

Язык: Английский