In order to achieve scalability and robustness, verification and validation (V&V) of self-driving vehicle systems need to be largely performed virtually. This requires validated models on sensors, vehicles and environments where the systems are to operate. The aim of this pre-study is to identify state-of-the-art (SoA) and high-priority research questions within methods for validating models […]
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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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Project ASPECT aims to, based on learnings from pilot Electric-Site, lift the technology to an energy optimized solution to scale in both volume and size. Focus for this project is within confined area. The project includes design of energy infrastructure, electric system on machines and site management system. Furthermore it includes validation of digital infrastructure […]
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In the project we are developing digitalized services to increase the level of trusted decision making to optimise overall site systems in off-road transport applications. By developing data-driven models for real-time simulation and optimisation of customer site operations, combined with advanced data analytics, we move from the current experience-based process to a model-based process that […]
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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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Alessandro Bertoni will present status on the research project “Digital-Twin enabled Transition into Electromobility and Autonomy in Construction Equipment (eTWIN)”.
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Smart Start Graduate Trainee-programmet besökte BTH den 14 september för en heldag på temat digitalisering och smart industri. Deltagarna från Roxtec, Region Kalmar, Profilgruppen och Kalmar Energi fick en inblick i den pågående industriella transformationen och hur BTH:s verksamhet inom mjukvaruutveckling och produktutveckling bidrar till att möta globala samhällsutmaningar.
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The project aligns with the BTH strategy of enlarging the recruitment base for distance studies including national and international students, capitalizing on the engineering and pedagogical competencies developed during a pluriannual research profile on Model-Driven Development and Decision Support (MD3S). In line with the BTH strategic directions, the project shall be seen as the first […]
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