Digital Twin research on IVA 100 list for 2022
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Digital Twin research on IVA 100 list for 2022
- 11th May 2022
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Archives
ME310 Convergence week på Stanford
- 7th April 2022
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BTHs team i Stanfordprojektet ME310 är precis hemkomna från ”Convergence Week” på Stanford University, där man tillsammans har jobbat med projektet och bestämt sitt slutkoncept som man ska konstruera till slutpresentationen i juni. Årets projekt går ut på att utforska behov och möjligheter att ta alternativa energikällor till platser där man inte har lättillgänglig infrastruktur […]
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Wrapping up the Elektrifierad Infrastrukturbyggnation project
- 21st March 2022
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The Elektrifierad Infrastrukturbyggnation was a feasibility study conducted in close collaboration between Volvo Construction Equipment, Lund University and Blekinge University of Technology to investigate the conditions for carrying out major infrastructure projects emission- and fossil-free.
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Uppfinnare för en dag – Hyperloop pod designers!
- 24th February 2022
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Produktutvecklingslabbet bjöd in till en eftermiddag i Karlskrona Makerspace där ungdomar fick delta i årets sportlovsaktivitet; att i team klura på design av en pod för Hyperloop och sedan implementera sina idéer. Forskaren Johan Wall berättade berättade kort om problemlösningsprocessen och vilket material de hade att jobba med för att lösa utmaningen. NKT’s Kristina Owesson […]
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We’re hiring!
- 14th January 2022
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Come work with us at Blekinge Institute of Technology, Department of Mechanical Engineering. We are looking for a PhD candidate in mechanical engineering with focus on model driven product development. Closely related to our research profile in Model Driven Development and Decision Support. Find the position here For more information contact: Dr Johan Wall, Head of […]
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Research Spotlight; Alexander Barlo
- 22nd December 2021
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Alexander Barlo is since early 2021 a PhD candidate in Mechanical Engineering at BTH. He is working with failure prediction in Sheet Metal Forming (SMF) Accurate failure prediction in Sheet Metal Forming (SMF) is a core task for all Computer Aided Engineering (CAE) departments within e.g., the automotive industry. Simulation based failure prediction of the […]
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Congratulations Omsri Kumar Aeddula, Licentiate in Mechanical Engineering!
- 17th December 2021
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Omsri Kumar Aeddula presented his licentiate thesis entitled “Data-Driven Decision Support Systems for Product Development – A Data Exploration Study Using Machine Learning” in front of an hybrid audience of online listeners and physically present people. In all a crowd of some 50 participants. Omsri presented the context and motivation for his research and then […]
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Wrapping up the eTWIN project
- 11th November 2021
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TWIN – Digital-Twin enabled Transition into Electromobility and Autonomy in Construction Equipment was a short feasibility study into using digital twins in mining operations carried out during 2021
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Welcome Giulia Wally Scurati, postdoctoral research fellow!
- 10th November 2021
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Dr Giulia Wally Scurati is a post-doc researcher at BTH employed during the fall of 2021 working with supporting engineering decision making towards a sustainable society. Giulia is part of the KKS research profile “Model Driven Development and Decision Support“ and other ongoing research projects within the research lab. WHO ARE YOU AND WHAT IS YOUR BACKGROUND? My […]
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