Quadratic multiple regression and spectral relaxation approach for inclined magnetized Carreau nanofluid

Impact of viscosity on fluid has vital role in colloidal suspensions, polymer process, mayonnaise, lubrication models and melt solutions. With second-order velocity, stagnation point flow is encountered in this article. Estimation of Nusselt number (rate of heat transfer) is calculated with the help of multiple regression model. Velocity of nanofluid is judged by posting slant magnetic effect. Temperature of nanofluid is scrutinized through Brownian and thermophoresis effects. Furthermore, obtained PDEs generated by physical assumption is converted into system of ODEs and then passes under process of spectral relaxation method for its solution. Moreover, Bvp4c technique is also used for verification of study with new technique and found smooth agreement. Graphs are plotted for different parameters with MATLAB and statistical graphs. Each figure is classified with absence and presence of infinite shear rate parameter. Velocity is reduced by enlarging numerical values of K . Energy file is directly engaged with Ec, and transportation in mass will be lower due to growth in Sc and decrement in ϕ because of growing in Nb .