Computational analysis of tri-hybrid Casson nanofluid flow in the conical gap between a rotating disk and cone using blood as the base fluid: An application to spinning devices

The behavior of a trihybrid nanofluid flow within the conoidal gap formed between a rotating disc and a stationary cone is computationally analyzed in this study. The nanofluid, composed of three distinct nanoparticles ( A l 2 O 3 , T i O 2 , and Ag) with blood as the base fluid, is investigated for its thermal and flow properties. This work examines heat transfer through the trihybrid nanofluid as it flows through the gap, considering various scenarios where the disc and cone may rotate at the same or different speeds, or one remains stationary relative to the other. Numerical simulations are employed to study the heat transfer and fluid flow patterns in the conical gap. The analysis explores how parameters such as rotational speed, cone angle, and nanoparticle concentration influence heat transfer performance. The findings highlight the intricate interactions between the geometric configuration and nanofluid properties, providing valuable insights for applications in fluid dynamics and thermal management. This fluid model also has potential applications in the study of blood pressure, arthritis, brain therapy, and malignant tumor treatment. To ensure convergence, graphs are generated using MATLAB's BVP4C solver. Key variables such as the magnetic parameter, Prandtl number, and Reynolds number significantly affect the temperature and velocity profiles. • The axial velocity profile positively decreases as the volume fraction of nanoparticles increases. • The inclination rate of velocity notably accelerates with increasing rotation in the cone. • The velocity of the nanoliquids decreases with an increment in the magnetic parameter.