1 Apr 2018


KeelWit has designed and is currently manufacturing a tailored wind tunnel for the new facilities of the Motor and Sport Institute. This wind tunnel for aerodynamic testing will allow to analyze the aerodynamic performance of scale vehicles and compare it with the results obtained by Computational Fluid Dynamics using the most advanced software. Wind tunnel sensors and measuring equipment will provide a practical knowledge about aerodynamics for the MSI’s students that is not achievable in other centers where there this type of equipment is not available. Furthermore, Teo Martín Motorsport team will use the wind tunnel up to 200 km/h to test the aerodynamics settings of its vehicles with which the team races successfully on different categories. Other motorsport teams would use the MSI facilities to fine-tune their cars, due to the small number of available wind tunnels for testing with these...
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...
30 Nov 2017

KeelWit attends the “Innovation Day” organized by ANSYS Spain

Three of KeelWit Technology’s engineers attended the different presentations made throughout the day, being able to see and debate the new features of the numerical simulation tools of ANSYS, as well as the “best practices” of other Spanish companies in areas as different as space rockets, mobile phones or microalgae...
10 Nov 2017

Commissioning a wind tunnel for aerodynamic testing

In order to equip itself with the most modern technology and to become a reference center among educational institutions in the area of racing cars’ engineering, a new center that will open its doors in 2018 has hired KeelWit to design and manufacture its wind tunnel for aerodynamic testing. Once the specifications list of the device has been agreed, KeelWit is applying its MOST-HDS algorithm to optimize its design while respecting the available footprint in the room where it will be installed, as well as the speed indexes that are required for accurate...
17 Oct 2017

KeelWit article in the scientific magazine DYNA on CFD optimization of boilers for combined cycles

KeelWit has published an article titled Boiler inlet duct shape design optimization for combined cycle power plants. Founded in 1926, DYNA is one of the most influential and prestigious engineering journals in the world, as recognized by Thomson-Reuters in the annual edition of its JCR report and undoubtedly a reference of scientific publications in Spanish. The contribution of this paper is twofold: on the one hand, it shows that there is substantial room for improvement in the shape design of the inlet ducts of Heat Recovery Steam Generators (HRSGs), in terms of achieving a lower pressure drop, a higher velocity uniformity and an important cost reduction of the unit; on the other hand, it shows how the application of the Multi Objective Structured Hybrid Direct Search (MOST-HDS) algorithm, can find improved designs. This algorithm is applicable in many fields for aerodynamic shape optimization involving big displacements, which can be quite unconventional and non-intuitive. The MOST-HDS algorithm combines genetic, gradient and swarm search intelligence in every iteration. The results obtained for the two HRSG families presented show that there are optimum trade-off design points with simultaneous reductions in pressure drop of up to 20- 25%, in lateral surface of up to 38% and in boiler inlet length of up to 16%, while having comparable velocity uniformities to the existing designs. Link to open access article:...
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