AKSELOS S.A. Awarded Swiss CTI Grant to extend the Reduced Basis simulation framework capabilities
Akselos, the leading company in the development of component-based Reduced Basis (RB) algorithms announced today that it has been awarded a grant from the Swiss Commission for Technology and Innovation (CTI) of CHF 518,000. This project aims at extending next-generation simulation algorithms developed at MIT, EPFL over the past 14 years, in order to apply them to relevant industrial problems
Lausanne, Switzerland, June 5, 2015 (Newswire.com) - Expanding the Akselos Product Range to Include Key CAE Features
Akselos (www.Akselos.com), the leading company in the development of component-based Reduced Basis (RB) algorithms, with a revolutionary new type of engineering simulation technology, announced today that it has been awarded a CHF 518,000 grant from the Swiss Commission for Technology and Innovation (CTI) to extend the Reduced Basis simulation framework capabilities. 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.
, : "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."
Bruno Schuermans, Expert in Gas Turbines Combustor Acoustics at ALSTOM Power
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.
AKSELOS Innovation
The Swiss economy relies on innovation, advanced industrial solutions and a dynamic and high-value-added labour market. Already in 2015, Akselos solutions are a showcase of Swiss Innovation, representing Switzerland at the Hannover Messe and exporting solutions to leading companies as far as Australia.
Our customers are eagerly awaiting our new product releases. The underlying technology enables an increase in simulation speed of 1’000 to 10'000, compared to the best-in-class Finite Element Analysis (FEA) software used by engineers today, while preserving accuracy to within 1% of FEA results. Thus, in fact largely leapfrogging FEA accuracy when we integrate field measures.
Akselos’s contact email for press releases and marketing is [email protected]
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Tags: cloud-based, computational engineering, condition assessment, Conditional-based, finite element mesh, Google Cloud, Google compute engine, High Performance Computing (HPC), model engineering, Modeling, modeling software, Physics, R&D, reduced-based, reduced-basis