11 Dec 2017

Isaac Prada presents the application of the MOST-HDS algorithm, combined with CFD, to the design of objects and devices, in a webinar organized by ANSYS USA and by GOMPUTE

KeelWit applies its proprietary Multi-Objective Structured Hybrid Direct Search (MOST-HDS) methodology, which introduces optimization algorithms in the exploration of the most suitable combinations of the values of the different variables of highly complex functions, to reach the optimal value of the target function in CFD projects. By applying this methodology, KeelWit has obtained important improvements in the selected target function within the design of wind tunnels, water slides, injectors, exhaust gas ducts, etc. In the webinar Isaac explained how the use of this methodology can be considered a quantum leap when designing components, as it allows to apply ongoing phases of optimization over hundreds of possible combinations of the values of the variables, when compared to the usual methodology of selection and testing of 3 or 4 different configurations, almost exclusively based in the know-how obtained from previous designs. The joint use of GOMPUTE’s cloud High Performance Computing and ANSYS simulation software has allowed KeelWit to introduce improvements % in the target function that have ranged from 18% to 77% in device design for different...
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