Abstract

Significance of nanofluids cannot be overlooked because of their enhanced characteristics which play vibrant role in their thermal performance. These make them more effective for practical applications. Addition of multiple types of nanoparticles potentially affect the thermal conductivity of base fluid which directly contribute in the heat transfer mechanism. Hence, the current work deals with the study of tetra nanofluid model including the influence of different parameters. The results obtained through numerical approach and examined that the fluid motion enhanced at variable saddle/nodal regions and reverse variations examined for higher λ values. The inclusion of surface convection Bi=0.1,0.2,0.3,0.4 particles concentration from 0.04 to 0.16, heat generation factor (Q1=0.5,1.0,1.5,2.0) and radiation effects (Rd=1.0,2.0,3.0,4.0) are observed reliable physical tools to enhance the heat performance of nanofluids which is advantageous from engineering as well as industrial point of view. Further, thermal boundary layer enlarges for Rd and reduced for Q1 and nanoparticles strength ϕi,i=1,2,3.