Dynamics of non-Newtonian Casson fluid and Cattaneo-Christov heat flux impacts on a rotating non-uniform surface due to Coriolis force: A comparison study of ANFIS-PSO and ANN
Maddina Dinesh Kumar, S. Suresh, G. Dharmaiah, Muneerah Al Nuwairan
Abstract
It must study liquid flow over surfaces above the earth because its surface rotation stimulates liquids heated amid the sun. Consequently, the Coriolis impact force is investigated on Casson convective flow fluid with Cattaneo-Christov heat flux over the rotating paraboloid upper surface. The simultaneous effects of the Lorentz force and Coriolis force occurring due to MHD flow contribute significantly to solar wind, sunspots, and more physical natural phenomena. As a result, Navier-Stokes equations governing the flow are derived and incorporated with the appropriate body forces. PDEs are converted to ODEs by identical variants/variables that make the governing equations non-dimensional. The results of this problem are represented graphically using BVP4C. In the present study, some of the significant results are: While both ANN and ANFIS-PSO could accurately forecast the truth values, we found that ANFIS-PSO is more accurate; as the temperature rises, β and Gr consider and resist heat transmission with K and Ec, While Ec and Nt increase the concentration, K, β, Gr , Nb, and Sc impede mass transfer. table 3 compares the current study's findings with those of the previous research; the results are nearly identical, demonstrating the precision and accuracy of the current model. Highlights • This work investigates the impact of Lorentz forces and Coriolis on Casson fluid's flow across a non-uniformly thick surface. • This expands the research to include studying tropical cyclones caused by heat transfer from the sun to Earth. • This study examines the magnetised Coriolis force on fluid characteristics over non-uniformly thick surfaces like Earth. • The initial scenario explains that the Coriolis force is negligible, while secondly, it is pretty substantial. • While both ANN and ANFIS-PSO accurately forecast truth values, ANFIS-PSO is more accurate in this circumstance.