Mechanics, Mechatronics and Material Technology

The group's focus is to drive interdisciplinary applied research by fostering industry collaborations and to educate and train the next generation of researchers and engineers in the fields of mechanics, mechatronics, and materials technology.

We shall develop novel technologies across multiple length scales, to provide solutions to complex technological challenges primarily within Green Energy.

The group comprises experts in materials modelling and testing, computational and experimental fluid dynamics, structural mechanics, green energy (wind turbines and solar panels), impact simulation, acoustic analyses, mechatronics, and multiphysics.

By uniting our core technical areas of fluid mechanics, solid mechanics, and mechatronics the group will perform innovative research in Green Energy Technology. We will focus on developing sustainable, efficient, and advanced solutions for energy generation, storage, and management.

Our group has recently received OsloMet strategic funding of to establish GrønnMet – OsloMet Green Energy lab. This lab will serve as a hub for interdisciplinary research collaboration and knowledge dissemination in Green Energy, catering to a wide audience including academia, industry, and STEM students.

GrønnMet will elevate OsloMet's reputation through extensive internal and external communication about the initiative, its activities, and achievements. Through the interdisciplinary collaborations fostered by GrønnMet, OsloMet will acquire the innovative knowledge and sustainable solutions essential for a greener future.

Head of research group

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  • Members

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  • Projects

    The research group works with these projects:

    • Swecris - CATERINA – Centrifugal instability And Turbulence ExpeRIments and Numerical Analyses
    • Manufacture of nanofiber-reinforced cement materials, “Manufacture of nanomaterials with application in Neuromorphic Computing
    • Intelligent CFD Methods on Aerodynamic Flow in Offshore Wind Turbines
    • Global response analysis of modular floating solar farms in a marine environment.
    • Machine Learning Based Condition Monitoring of Wind Turbine Mooring Lines
    • Collaborative Research-Based Education for Optimized Performance of Wind Farms, INTPART, Norway
    • Global Collaborative Research Based Education for Enhancing the Performance of Wind Farms, UTFORSK, Norway
  • Partners

    OsloMet collaborates with: 

    • KTH Stockholm, Sweden
    • University of Bologna, Italy
    • Cranfield University, UK
    • Zurich University of Applied Sciences, Switzerland
    • Leibniz University Hannover, Germany
    • Prognostics Centre of Excellence, NASA Ames Research Centre, USA
    • Palo Alto Research Centre, USA
    • National Renewable Energy Laboratory, USA
    • Indian Institute of Technology, Mandi, India
    • Indian Institute of Technology, Jodhpur, India
    • MNIT, Jaipur, India