Fluid flow and heat transfer in microchannel heat sinks: Modelling review and recent progress

Nowadays, microchannels have been widely utilized in various multidisciplinary fields, and as a consequence, some new different requirements for the process of practical application are required, such structure, working fluid, operating conditions, etc. This article reviews current research achievement microchannels, well thermodynamic on with structures past five years, but mainly focuses numerical methods. The purpose this review aims to summarize comprehensive overview latest developments methods microchannel heat sinks, provide useful benchmark future research. present straightforward most commonly used solving governing equations optimizing data, including conventional computational fluid dynamics (CFD) simulation methods, molecular (MDS), Lattice Boltzmann (LBM), direct Monte Carlo (DSMC), other techniques machine learning (ML) approach, artificial neural network (ANN) method, genetic algorithm (GA), Taguchi (TA), optimisation will not only help understand physical mechanism fields also fill gaps related studies.