Akselos Innovation Makes Digital Twins 1000X Faster

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While digital twin technology is getting faster thanks to edge computing, increased data processing power, and forthcoming 5G, it’s still a data-laborious process. MIT researchers spun off a company called Akselos to apply a technique that speeds physics modeling by 1000X to industrial digital twins.

From Venture Beat

The innovation improves the performance of finite element analysis (FEA) algorithms which underpin most types of physics simulations. RB-FEA, Akselos’ pioneering technology, uses

RB (reduced basis) space and can run full accuracy simulations at the system level and down to the mechanical part level, without the need for sub-models.

RB-FEA has resulted in some of the very largest (and most complex) assets on the planet and is expected to be applicable across industrial digital twins.

  • Shell discovered a faster design process for a specialized oil tanker that also reduced the number of weak points 

  • Akselos compressed what used to be a six-month workflow for analyzing Shell’s FPSO tanker boats into less than 48h

  • Other customers reduced the material in a wind turbine by 30%

  • Self-assessment of structural damage in flight by a drone or aircraft is an expected application

  • There are seemingly endless options in offshore wind

Read more from an interview in VentureBeat. 

We’ll race you there.