This study investigates natural convection in a triple-partitioned triangular cavity under the influence of an external magnetic field, considering both wavy (WP) and rotating (RP) partition configurations. The effects of key parameters—including the Rayleigh number (Ra), magnetic field strength (Hartmann number, Ha), magnetic field inclination (γ), WP wave amplitude (Af) and wave number (Nf), and RP rotational speed (Ω) and size (R)-on the flow, thermal fields, and overall cooling performance—are analyzed by using finite volume method. Cooling performance of WP and RP is evaluated through an artificial neural network (ANN)-based approach. The flow and thermal fields in the triple-partitioned cavity are strongly affected by the partition type. WP produces the lowest average Nu, followed by circular-stationary and flat partitions, with reductions of 32%−8.6% at Ra=105, while RP enhances Nu by 138.4% and 38% at Ra=104 and Ra=105. At the highest Ha, Nu decreases by 1%−22% depending on the partition, with WP reducing Nu by 13%−31% and RP increasing it by 9%−71%. Increasing Af to 0.3 reduces Nu by 20.7% and 24.4% for Nf=1 and 3, while at Af=0.1, Nu is nearly unaffected by the wave number. At Ω=−100 and 100, Nu increases by 73.8% and 60.1%; a larger circular interface boosts Nu by 111.6% when rotating but lowers it by 11% when stationary. ANN predictions indicate that WP lowers Nu by 0.3% at low Ra and 36.9% at high Ra, whereas RP raises it by 76.8% and 36.1%.
Selimefendigil et al. (Sun,) studied this question.