industry application of computational science at umit … · · 2013-06-22industry application of...
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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
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
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
1600 simulations of 20 s flow7 day computing on desktop
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