2 citations · 2 across the 3 of their papers we have counts for
3 papers
math.OC2024
Computationally Efficient Optimisation of Elbow-Type Draft Tube Using Neural Network Surrogates
Ante Sikirica, Ivana Lučin, Marta Alvir +2
This study aims to provide a comprehensive assessment of single-objective and multi-objective optimisation algorithms for the design of an elbow-type draft tube, as well as to intr…
physics.flu-dyn2023
Experimental and LBM analysis of medium-Reynolds number fluid flow around NACA0012 airfoil
Andro Rak, Luka Grbčić, Ante Sikirica +1
Cornerstone of this research is the examination of fluid flow around NACA0012 airfoil, with the aim of the numerical validation between the experimental results in the wind tunnel…
physics.flu-dyn2022★ 2 cited
Machine learning based surrogate models for microchannel heat sink optimization
Ante Sikirica, Luka Grbčić, Lado Kranjčević
Microchannel heat sinks are an efficient cooling method for semiconductor packages. However, to properly cool increasingly complex and thermally dense circuits, microchannel design…