In this study, a multi-objective optimization of microchannel performance is conducted using Computational Fluid Dynamics (CFD) and the Arbitrary Lagrangian-Eulerian (ALE) method. The primary objective is to enhance heat transfer while minimizing pressure drop within the flow system. The ALE equations are employed to simulate flow and heat transfer in the microchannel, allowing for geometric deformations and boundary displacements. Experimental data are analyzed using software, and multi-objective optimization is performed utilizing the NSGA-II genetic algorithm. The obtained optimal point includes Re = 10, f = 0.125 Hz, Ae = 0.165 mm, and Tin = 279.75 K) where indicated Reynolds number, frequency of elastic wall, amplitude of elastic wall and temperature), resulting in a thermal performance ratio of TPR = 1.3294. The findings of this study contribute to improving microchannel design in cooling systems and other microfluidic applications.



Keywords:

Heat transfer, fluid-structure interaction (FSI), microchannel, optimization, convection, Arbitrary Lagrangian-Eulerian (ALE), thermal performance ratio (TPR)