A Mathematical (Physical Models) Approach for Nanofluid Flow: An Analysis
摘要
In the relentless pursuit of enhanced thermal performance within industrial and engineering systems, conventional fluids encounter a difficult barrier: their inherent thermal conductivity constraints. This limitation poses a significant challenge in developing energy-efficient heat exchangers capable of meeting the demands of ultra-high-performance cooling technologies. Nanofluids, colloidal suspensions of nanoparticles in base fluids, emerge as promising candidates to address this challenge, owing to their remarkable ability to augment thermal transport properties. However, the intricate interplay between the many nanoparticles and the fluid matrix at both micro- and macro-scales presents a formidable computational challenge, rendering accurate analysis of nanofluid behaviour prohibitively expensive. This chapter delves into the fundamental equations governing the complex dynamics of nanofluids, illuminating the interplay of analysis of nanofluid path, the shape of nanoparticle, stability analysis, the impact of viscosity, the influence of specific heat capacity, pressure drop influence on Nusselt number within these systems. This chapter extends a compelling directive to embark on a journey into the captivating realm of nanofluids, where scientific rigour and engineering ingenuity converge to reshape the landscape of thermal management, propelling us towards a future of unparalleled thermal performance.