Narrow Results

The objective of this research is to recover new solutions in the lifting and drainage cases of thin film flows involving non-Newtonian fluid models namely Pseudo-Plastic (PP) and Oldroyd 6-Constant (O6C). Both of the considered fluids exhibit numerous uses in industry when coupled with thin film phenomena. Some of the industrial applications include decorative and optical coatings, prevention of metallic corrosion and lithography of various diodes, sensors and detectors. For solution purpose, a modified version of Optimal Homotopy Asymptotic Method (OHAM) is proposed in which Daftardar–Jafari polynomials will replace the classical OHAM polynomials in nonlinear problems and provide better results in terms of accuracy. The paper includes a comprehensive application of modified algorithm in the case of thin film phenomena. To validate the obtained series solutions, the paper employs a rigorous assessment of convergence and validity by computing the residual errors in each scenario. For showing the effectiveness of modified algorithm, numerical comparison of classical and modified OHAMs is also presented in this study. Furthermore, the study conducts an in-depth graphical analysis to assess the impact of fluid parameters on velocity profiles both in lifting and drainage scenarios. The results of this investigation demonstrate that the proposed modification of OHAM ensures better accuracy of solutions than the classical OHAM. Consequently, this method can be effectively utilized for tackling more advanced situations.

This paper investigates the squeezing action of hybridized nanofluid flow that takes place in the mechanism of truck brakes, dampers, polymer manufacturing, power transportation, oiling structure, and food production. The modeling technique relied on a set of partial differential equations to direct the fluid, taking into consideration external factors like the magnetized force and the time-dependent source of heat and thermal radiation. The hybridized nanofluid consists of copper and aluminum oxide nanoparticles that are dispersed in the machine oil. Entropic thermodynamic analysis is also examined to evaluate its role in the thermal examination of the system. The optimal homotopy asymptotic and Adomian decomposition methods were used to solve the problem. The study examined the changes in the rate of entropy formation and the characteristics of fluid velocities, heat transference rate, and performance based on the kind and concentration of nanoparticles and external thermal impacts. The results are presented in many key components, including a notable 30% increase in heat conductivity when using a combination of nanoparticles. The use of hybridized nanofluids manages to reduce surface frictional force, whereas the employment of a combination of particles results in an increase in friction owing to the heightened viscosity of the mixture.