The primary goal of this work is to concentrate on a numerical investigation of thermal radiation and heat effects on the squeezed flow of a tangent hyperbolic fluid induced by sensor sheet. The impacts of magnetics field and time depended thermal conductivity are taken into account. The investigation is motivated by applications in various engineering and industrial processes where precise control and understanding of fluid flow and heat transference phenomena are fundamental. The governing PDEs of two dimensional squeezing flow model are transformed into couple of ODEs via suitable similarity approximations. Matlab platform via shooting approach is employed to solve couple of developing equations numerically. The outcomes of prominent parameters on involved profiles are computed via graph and tables. Additionally, the outcomes of skin friction and Nusselt number are computed for motivation. This investigation explores the act of controlling physical parameters in governing flow and heat transfer performance. The research has been able to establish that ANN is an effective surrogate model in highly complicated non-Newtonian fluid flows. The fact that BVP4C and ANN are very well correlated confirms the effectiveness of machine learning methods in computational fluid dynamics, which can be applied in fast optimization of parameters of the industrial process with the use of Tangent Hyperbolic Fluids.
Ramasekhar et al. (Sat,) studied this question.