Adaptive Simulations, a high-tech research spin-out receives a 1.5 million euro investment from Creathor Venture, Karma Ventures and KTH Holding

Published by Sebastian Desand on May 04, 2017

Stockholm – Adaptive Simulations announced today that it has received a 1.5 million euro investment from Creathor Venture and Karma Ventures, two leading European venture capital firms in the high-tech space. The venture capital firms were joined by the holding company of highly ranked tech-university KTH Royal Institute of Technology. [...]

Intelligent algorithms and Automated Flow Prediction dramatically increase value output from CFD-engineers

Published by Sebastian Desand on Feb 12, 2017

CFD-engineers play an important role in product design by conducting high quality simulations which can be used to optimize design. Their simulations can generate knowledge and insight which increase product performance and competitive advantage that will make the difference between mediocre and outstanding financial results. [...]

Automated Simulations reduce time to market

Published by Sebastian Desand on Oct 25, 2016

The ground breaking algorithms in our model are adaptive and parameter free which enables an automated simulation process as well as reliable estimation of error margin. Our innovation is the result of a spin-off from world leading research conducted over the last decade by a team of researchers at KTH Royal Institute of Technology in Stockholm. [...]

Adaptive computation of aeroacoustic sources
for a rudimentary landing gear

Published by Sebastian Desand on Oct 12, 2016

This work may be seen as an extension of our contribution to the BANC-I NASA/AIAA work shop held in conjunction with the 16th AIAA / CEAS Aeroacoustics Conference in Stockholm, 2010.One of the principal goals of the workshop was to assess available computational methods for the computation of aeroacoustic sources by comparing simulation results with experimental [...]

Towards a parameter-free method for high Reynolds number turbulent flow simulation based on adaptive finite element approximation

Published by Sebastian Desand on Sep 23, 2016

This article is a review of our work towards a parameter-free method for simulation of turbulent flow at high Reynolds numbers. In a series of papers we have developed a model for turbulent flow approximated by an adaptive finite element method, where: (i) viscous dissipation is assumed to be dominated by turbulent. [...]

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