Industry application of computational science at

UMIT Research LabMartin Servin – UMIT / Department of Physics

2013-05-15

UMIT Research Labcomputational science, engineering, software & IT

Computing science

Mathematics

Physics

50 researchers and engineers

200 undergrad admitted per yearApplied mathematics and physics, Computing science

Engineering Physics, Industrial economy,

Interaction and design

UMIT Research Labcomputational science, engineering, software & IT

Applied mathematics

Computational design optimization

Computational mathematics

Distributed systems

Interactive physics & complex mechanical systems

Parallel & scientific computing

Fundamental computational science to industry applications and software innovations

Algoryx Simulations

Industry funding: FOI, LKAB, SKF, Surgical Science, Skogtekniska klustret, VINNOVA, EU

StratiGraph Tool

Elastisys

SKF Beast

Example: education simulation softwarehttp://www.youtube.com/watch?feature=player_detailpage&v=qa9xn-xYQQk

AlgodooTeach and learn physicsDraw and simulateAnalyze and experimentLoad and share lessons

Air baghttp://www.youtube.com/watch?feature=endscreen&NR=1&v=w094jR605GQ

Combustion enginehttp://www.youtube.com/watch?v=iwgakSdOM0I

Contraptionhttp://www.youtube.com/watch?v=s-SQwMtG4Pc

Example: education simulation softwarehttp://www.youtube.com/watch?feature=player_detailpage&v=qa9xn-xYQQk

3D interactive physics simulation

3D interactive physics simulation

Curtsey of Oryx Simulation and Volvo CE

SIMOVATE – Simulation technology for more Innovative process- and product development

Algoryx, Atlas Copco, Enmesh, LKAB, Modelon, Optimation, Oryx, SKF, Skogforsk, Svea Teknik, Volvo CE, Volvo Lastvagnar. Co-funded by VINNOVA

New tools and work methods – concept, system, product, training & marketing

SIMOVATE – Simulation technology for more Innovative process- and product development

Challenges- model hierarchies- data and model interoperability- multidomain v.s. co-simulation- user interfaces

SIMOVATE – Simulation technology for more Innovative process- and product development

Nonsmooth multidomain dynamics

- DAEs and variational inequalities- physics based regularization and stabilization- discrete variational stepper -> MLCP

Example: Outlet design optimization for granular flow

LKAB mineral ore pellets production in Malmberget

Example: Outlet design optimization for granular flow

Exempel - optimera geometrisk design på utläggare i rulltrumma

Example: Outlet design optimization for granular flow

1600 simulations of 20 s flow7 day computing on desktop

Example: Outlet design optimization for granular flow

Founding sponsors of UMIT Research Lab