AKSELOS Awarded CTI Grant

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08.06.2015

AKSELOS and the MATHICSE institute at EPFL have been awarded a CHF 518,000 grant from the Swiss Commission for Technology and Innovation (CTI). The CTI project will focus on expanding the Akselos core simulation engine to key industrial needs.

Akselos is the leading company in the development of component-based Reduced Basis (RB) algorithms, with a revolutionary new type of engineering simulation technology. The CTI project will focus on expanding the Akselos core simulation engine to meet clearly identified needs specified by large engineering firms in the power systems and mining industries. Akselos will collaborate with The MATHICSE institute at EPFL. MATHICSE has been one of the leading academic forces in the past ten years on the topic of model reduction, which is the central theme of this CTI project.

The algorithm that is at the core of most simulation technology nowadays – namely the Finite Element Method -- dates back to the 1970s. For large scale industry applications, it is essential to upgrade to newer algorithms in order to unlock the full potential of simulation software. This project aims at extending next-generation simulation algorithms developed at MIT, EPFL and other institutes over the past 14 years, in order to apply them to relevant industrial problems.

Fully-3D, large-scale linear partial differential equations represent a very important class of models for real-world engineering, and as a result Akselos already has major customers in the mining and power systems industries which greatly benefit from Akselos's fast and accurate simulation tools. The goals in this CTI project aim to dramatically expand the range of problems which Akselos can address.

Bruno Schuermans, Expert in Gas Turbines Combustor Acoustics at ALSTOM Power: "Akselos did a very challenging project for us in the field of combustion chamber acoustics. [...] they exceeded their promises: with Akselos software we achieved an incredible speed-up of our acoustic FEM calculations, and this enabled us to perform computations that we wouldn't even think of before."

Picture: Akselos, Image of a shiploader.

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