8 Feb 2018
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...
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:...
15 Sep 2017
KeelWit again selected as business showcase by ANSYS for its Advantage magazine
KeelWit’s methodology of optimization using optimization algorithms combined with ANSYS’ CFD module and solver has been selected to be included in the worldwide magazine version that ANSYS delivers to all customers showing the best uses of their software package. The article yields a summary of the methodology used in optimizing the shape of the inlet ducts of the heaters of power plants, achieving improvements of targets chosen by 24%. The methodology and proprietary algorithms are part of Isaac Prada’s PhD for which he obtained a “Cum Laude” qualification. ANSYS has decided to show these results as they show a wide range of different applications where this engineering procedure can be applied. This same methodology has also been applied to the improvement of wind tunnels’ shapes, where results obtained have given a pressure drop reduction of up to 60%. Click on the following link to read the full article: picking-up-steam-aa-V11-I2 ANSYS...
2 Jun 2017
Isaac Prada lecturer at the Spanish Engineering Institute with the speech “The enterprising engineer. From Formula 1 to the new technologies”.
Last 1st of July Isaac Prada participated in a round table at the Spanish Engineering Institute, wherein he exposed the reasons which drove him to leave his career in sectors with a strong technological component such as Formula 1 to create his own engineering company. Throughout his presentation, he made a reflection about the different types of innovation, the role of engineering companies and the synergies in collaborations between small and big companies, bringing together the agility and adaptability of the former with the resources of the latter. He also exposed how the methodologies of team management used in Formula 1 are applicable in all types of companies and sectors, as KeelWit teaches in its training program “Formula One Managers”. Rodrigo del Prado (co-founder of BQ, the Spanish manufacturer of mobile phones), with his speech “Technology that helps to change the world”, and Javier Díez Tejeiro, co-founder of General de Polímeros SL (GENEPOL), with his speech “The plastic: from waste to raw material”, also participated in the round table....Latest news
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