The rapid advancement of modern technology is demanding improved thermal management solutions across various sectors, leading researchers to explore innovative materials such as nanofluids. A recent study conducted by researchers at Prince Mohammad Bin Fahd University unveils the potential of ternary nanofluids—a blend of graphene oxide, copper, and silver nanoparticles suspended within kerosene—to revolutionize thermal management systems.
This study builds upon previous research, highlighting the ineffectiveness of traditional fluids known for their inadequate thermal conductance and rheological properties. The researchers aimed to tackle these inefficiencies by introducing ternary nanoparticles, speculating their allied properties could revolutionize heat transfer within diverse industries. They utilized advanced computational simulations and machine learning techniques to explore the influence of fluid dynamics involving these nanocomposites.
By implementing the Thomas and Troian slip conditions—an innovative boundary condition approach—the research aimed to recreate real-world thermal management scenarios with heightened accuracy. The fusion of magnetic fields and varying thermal radiation was also examined, providing new insights on how these factors impact the thermal performance of nanofluids.
Significantly, the investigation revealed two major findings: first, the momentum profile within the fluid was predominantly influenced by the presence of mono-nanoparticles when compared to hybrid and ternary counterparts. This suggests distinct interactions at the micro-level within the fluid structure. Conversely, when analyzing thermal distribution, contrary effects were observed, indicating the potential for these ternary fluids to offer improved heat dissipation capabilities.
Further quantitative results revealed the skin friction coefficient had increased by 74% due to the application of the magnetic field—a notable factor when considering flow resistance. Beyond conventional parameters, the heat flux coefficient heightened by up to 5% when quadratic thermal radiation was applied, emphasizing how radiation interacts differently with the fluid dynamics of ternary nanocomposites.
Artificial Intelligence (AI) simulations employed during this study leveraged the Levenberg-Marquardt algorithm to assess how various parameters interacted, providing predictive insights on fluid behaviors under diverse conditions. The outcomes generated from the ANN models suggest significant advancements can be achieved through employing ternary nanofluids over traditional systems.
This research opens avenues for enhanced applications, particularly within sectors requiring efficient thermal management like electronic cooling systems, biomedical technologies, and renewable energy initiatives. By presenting novel approaches to thermal engineering, this study not only provides clarity on existing theories but also sets the stage for future exploration and application of advanced nanotechnology.
These findings suggest strong industrial relevance and underline the potential for transformative applications across thermal engineering disciplines. Future research could explore other forms and configurations of nanoparticles, broadening the base of knowledge and encouraging new developments within this fascinating field.