Eventos Anais de eventos
COBEM 2023
27th International Congress of Mechanical Engineering
Optimization of microchannel heat exchangers using genetic algorithms
Submission Author:
Bruno Scaramuzza dos Reis , RJ , Brazil
Co-Authors:
Bruno Scaramuzza dos Reis, Elena Peñaranda, Paulo Roberto Siqueira da Costa Júnior, Eduardo Paiva dos Santos, Carolina Palma Naveira Cotta, Kleber Marques Lisbôa
Presenter: Bruno Scaramuzza dos Reis
doi://10.26678/ABCM.COBEM2023.COB2023-2042
Abstract
Optimizing heat exchangers is a crucial engineering challenge in industrial processes and energy production. Microchannel heat exchangers have been developed to increase thermal efficiency in cooling systems, allowing for better heat dissipation in a reduced space. However, optimizing these heat exchangers can be complex due to the large number of variables involved in the process. Genetic Algorithms (GA) are one approach to optimizing microchannel heat exchangers, based on the concept of natural selection and biological evolution, and capable of finding optimal solutions to complex problems through selection and reproduction processes. In this study, the thickness of the base (Hbase), top (Htop) and channels walls (Wwall), and channel width (Wchannel) and height (Hchannel) were optimized for constant flowrate and heat flux. The minimization of the pressure drop (
Keywords
Optimization, genetic algorithm, microchannel heat sink, Nusselt number, Friction Factor
