As the annual conference has been moved to next year we have been looking into how to repurpose some of the planned content for the Smart Tools Workshop. We have planned a series of short 30min presentations on topics relevant to SFI Offshore Mechatronics. We are trying to schedule most of the presentations to Thursdays 12.30-13.00 (CET) every two weeks starting on the 8th of October. The following presentations are planned in 2020.
After the formal presentation (12.30-13.00) you are welcome to grab a coffee and stay in the online meeting for a more informal chat and discussion. If we have sufficient attendance and response for the presentations we will continue with the webinars next year. The topics can be research topics or more practical related to research methods, tools or similar. Get in touch if you would like to give a presentation yourself or have a suggestion for topics. All presentations will be announced here.
SFI Offshore Mechatronics is committed to follow the FAIR principles for scientific data management and stewardship. The FAIR principles provide guidelines to improve the Findability, Accessibility, Interoperability, and Reuse of digital assets.
The center is already using Github to publish source code and now we are adopting Dataverse.no to publish datasets. Dataverse.no is hosted by University of Tromsø and is based on the The Dataverse Project, developed by the Dataverse Team at the Institute for Quantitative Social Science (IQSS) at Harvard University.
To publish datasets related to our center, we have secured a sub-respository under the UiA Open Research Data repository (https://dataverse.no/dataverse/mechatronics). Each dataset published to Dataverse gets a unique DOI identifier which can be referenced in scientific publications. We expect that publishing datasets to Dataverse.no will improve reuse of data external to the center but also internally between researchers in the center.
Publishing digital assets and datasets will follow the same internal approval procedures as with scientific publications. If required, datasets can be put under embargo which means that it will not be published before a certain date.
The UiA Library and Open Science coordinators are very helpful and ready to assist with publishing datasets and provide templates and practical guidelines. On October 22nd 12.30-13.00 we will have a webinar with a presentation about data management publishing datasets.
The Annual Conference of the centre SFI Offshore Mechatronics has been moved from November 2020 to November 2021, due to the still ongoing worldwide pandemic. The Smart Tools PhD Workshop also planned for November 2020 will be re-planned and changed to a digital only event which will take place in 2020.
The centre SFI Offshore Mechatronics congratulates MacGregor with their largest single vessel contract to date. The order consists of a mission-critical system to be installed on the OHT offshore wind foundation installation vessel, Alfa Lift.
For more information see https://gcenode.no/news/macgregors-largest-single-vessel-contract
One key sentence from the link above is: “I would also like to add my appreciation of the trust that OHT has placed in MacGregor, and equally recognise the collaborative team effort that has resulted in the innovative monopile installation solution being developed.”
Resources from SFI Offshore Mechatronics were involved in the pre-study leading up to this order, consisting mainly of simulations and development of concepts for the control algorithms. “Trust” is a key word, and by involving resources from the centre, the customer’s trust in the developed solution was increased.
Here is a YouTube video demonstrating the concept: https://youtu.be/GNIwc36eV0w
Daniel Hagen defends his PhD thesis on Wednesday September 2nd, see https://www.uia.no/arrangementer/disputas-daniel-hagen-om-forbedring-av-energieffektivitet-og-bevegelseskontroll-i-lastbaerende-applikasjoner
The title of the thesis is “Improving Energy Efficiency and Motion Control in Load-Carrying Applications using Self-Contained Cylinders” and this is the 8th PhD defense in the centre SFI Offshore Mechatronics. It is possible for the public to listen in on the PhD defense, see the link above.
Geir Ole Tysse defended his PhD thesis at NTNU on August 11, 2020. The opponents were Professor Oliver Sawodny from the University of Stuttgart in Germany and Professor Jing Zhou from the University of Agder. The title of the thesis was “Modeling and Control of Ship-mounted Cranes”.
The trial lecture was on the topic of “control of robots with arm elasticities” and parts of the assessment were: “The candidate gave a very good overview over the state-of-the-art methods of control of robots with arm elasticities. He focused on methods mainly related to differential geometry. He gave good explanations of the main approaches and gave a very good overview over the theoretical and mathematical methods”.
The candidate made important achievements in modelling of ship cranes and load dynamics, in combination with wave excitation. He made important contributions in controlling the crane payload. As part of achieving this, he developed new methods to estimate the effective cable length. He developed a new method of combining MPC approach to the position in outer loop with a Lyapunov-based oscillation damping controller in the inner loop. He showed the efficiency of this approach in several experiments at a test bed developed at NTNU, as well as in simulations.
The entire PhD thesis is made available in ProjectPlace (WP0 – Publications – PhD Theses) for partners in the centre.
SFI Offshore Mechatronics (WP5) and Mechatronic Innovation Lab are in the final stages of setting up a new lab for testing hydraulic cylinders. The equipment is delivered by Bosch-Rexroth and will be located in MIL’s facilities in Grimstad, Norway. It is expected that the new lab will become operation during Q4-2020.
The equipment will be used to test the condition of up to 4-5 seals located inside the cylinder. Seals of varying condition will be placed inside the cylinder, and then acoustic emission sensors will be used to estimate the condition. During the research work in the centre it will be experimented with sensors located both outside and inside the cylinder.
The equipment is owned by MIL and rented by the SFI OM centre for the next three years. The centre will not use the equipment 100% all the time. Hence, other companies or research institutions interested in using the facility can contact MIL.
The SFI Offshore Mechatronics Annual Report 2019 (PDF, 4.8Mb) is available at: https://sfi.mechatronics.no/wp-content/uploads/2020/04/SFI-OM-2019.pdf
Kevin Roy is a new researcher in WP6.3 Design of soft-sensors based on novel context-aware data fusion techniques.
His background is
• B.Sc. in Physics from Kannur University (India) between 2013 to 2016 with Computer science and Mathematics as subsidiary subjects.
• M.Sc. in Physics was studied at Indian Institute of Technology, Hyderabad (India) between 2016 to 2018. M.Sc. thesis was based on Computational Physics which involves the investigation of Thermoelectric properties of specific compounds within the Semiconductor range.
• Research Student at the University of Tokyo (Japan) between 2018 to 2019 with Japan International Corporation Agency Fellowship. The main tasks were based on Simulation and Data Acquisition System for the Nuclear Physics Experiments.
Dr. Vignesh Shanbhag received his M.Tech in Manufacturing Engineering from Vellore Institute of Technology (VIT) in 2015, and a joint PhD degree in Manufacturing Engineering from Deakin University (Australia) and Indian Institute of Technology, Madras (India) in 2019. He currently holds Postdoc position at NORCE. His research interest include condition monitoring of machine parts, quantification of machine tool defects using optical profilometer, and nano surface finishing of nonferrous alloys.