Robust Optimisation of Serpentine Fluidic Heat Sinks for High-Density Electronics Cooling: 16th UK Heat Transfer Conference (UKHTC2019)

Deterministic and probabilistic optimisation have been conducted to explore the optimum design for the microchannel heat sink equipped with chevron fins. Surrogate-based optimisation strategy has been employed to reduce the demand for the computational resources in this study. The main channel width (Wch), the secondary channel length (lsc) and the oblique angle of the fins (?) were selected as design variables. Monte Carlo simulation was used to propagate the uncertainty associated with the design variables to the outputs of interest, i.e. thermal resistance (Rth) and pressure drop penalty (?P). The results showed that the optimum designs produced using probabilistic optimisation have Rth and ?P higher than that obtained using the deterministic optimisation process by 8% and 4.8%, respectively.