Archives

Kick-off for MD3S+ profile project

Together with company partners and the entire research team a kick-off was held to celebrate the start of MD3S+ (Model Driven Development and Decision Support profile+, 55 msek 3 year project). Dean Benny Lövström and Profile Director Professor Tobias Larsson inaugurated the profile+ project. Presentations of the three research streams then took place and it […]

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New simulation course well received

To stay competitive we continually re-evaluate and improve our educational offerings. Among other things, that means improving existing as well as developing new courses. In recent years several new courses have been launched on master level as direct offspring’s of the research project “Model Driven Development and Decision Support”, the main vehicle of research at […]

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Uppfinnare på sportlovet!

Produktutvecklingslabbet bjöd in till en eftermiddag i Karlskrona Makerspace där ungdomar fick delta i årets sportlovsaktivitet; att bygga sin egen “automata”, en mekanisk skulptur. Forskarna Johan Wall, Christian Johansson och Tobias Larsson stöttade i en övning där ett färdigt exempel fanns för att inspirera, men där kidsen själva fick gå igenom processen att tänka ut […]

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Interest in research

We typically do research in order to make an impact; better products, less material use, less environmental impact, higher value, lower cost etc. The solution space is wide and the knowledge generated is big. Still, it is interesting, and fun, to once-and-a-while have a look at how the articles are being downloaded or viewed. So, […]

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Simulation-driven design, Projects 2018

Modelling and simulation are today a natural part of engineering design in businesses of all types and sizes. However, transition from simulation as primary a tool for verifying solutions that are already decided upon towards the use of simulation to stimulate creation of new concepts and provide guidance towards more optimized designs, especially in early […]

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Seminarie: Modelldriven produktutveckling

Sedan 2013 har BTH tillsammans med företagspartners drivit ett forskningsprojekt med fokus på modelldriven utveckling och beslutsstöd fokuserat på att stödja framtagningen av morgondagens hållbara produkt-tjänstelösningar. Projektet avslutas Mars 2019 och resultat börjar finnas tillgängliga. I samarbete med SIG-PM och Produktutvecklingsakademin höll projektet en resultatsession fokuserat på hur ett modellbaserat arbetssätt kan användas vid produktutveckling. Sharing       

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Beslutsstödsmiljö för produktutveckling

En liten glimt in i den beslutsstödsmiljö för produktutvecklande företag som utvecklas inom forskningsprojektet “model driven development and decision support” tillsammans med våra forskningspartners. Förmåga att redan i konceptfasen, innan man bygger produkterna, kunna förstå kostnad, värde samt miljöpotential mm över hela livscykeln skapar enorma möjligheter att prova olika scenarios och lösningar. Videovägg och touchscreen […]

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The Decision Arena, transforming data into knowledge in conceptual design

One success factor in engineering design is the ability to make effective and risk-managed decisions in a timely manner. Rarely is a single person sufficient to resolve today’s complex, connected issues. Rather, a group of stakeholders possessing required expert knowledge needs to be enrolled as these issues normally requires a wide variety of expert competences, […]

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Model Driven Decision Arena – MDDA

One success factor in engineering design is the ability to make effective and risk-managed decisions in a timely manner. Rarely is a single person sufficient to resolve today’s complex, connected issues. Rather, a group of stakeholders possessing required expert knowledge needs to be enrolled as these issues normally requires a wide variety of expert competences, […]

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Data-driven modelling in the era of Industry 4.0: A case study of friction modelling in sheet metal forming simulations

ABSTRACT With growing demands on quality of produced parts, concepts like zero-defect manufacturing are gaining increasing importance. As one of the means to achieve this, industries strive to attain the ability to control product/process parameters through connected manufacturing technologies and model-based control systems that utilize process/machine data for predicting optimum system conditions without human intervention. […]

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