Stability and statistical regression analysis of radiative stagnation-point flow of a ternary hybrid nanofluid with slip and melting effects
Pradeep Kaswan, Golam Mortuja Sarkar, Manjeet Kumar, Manjeet Kumari, Gopinath MandalPurpose
This study aims to explore an investigation of stagnation-point flow and thermal transport characteristics of a radiative ternary hybrid nanofluid, consisting of engine oil as the base fluid, supplemented with nanoparticles of SiO2, Cu and ZrO2. It addresses the flow on a stretching/shrinking surface, accounting for the effects of velocity slip and melting.
Design/methodology/approach
The corresponding partial differential equations are then converted into self-similar equations and are solved using MATLAB’s bvp4c algorithm. Since the model has two solution branches, a linear stability analysis is conducted to select the physically relevant flow regime. The high level of statistical regression indicates the strength of the model, as evidenced by the significant F-statistic, low p-value and high coefficient of determination.
Findings
The findings indicate that a higher rate of melting and high rates of slip amplify momentum and thermal boundary layers, resulting in better heat transfer performance, and a decreased value of the parameters causes dual-solution behaviour and a delay in the boundary-layer separation.
Originality/value
Due to these features, the applications of the findings, in terms of polymer extrusion, storage of thermal energy, cooling of phase changes, the nano-lubrication systems and a sophisticated manufacturing process with high thermal loads, show high applicability.