Yearly Archives: 2020

Blivande uppfinnare på sportlovsbesök!

Produktutvecklingslabbet bjöd in till en eftermiddag i Karlskrona Makerspace där ungdomar fick delta i årets sportlovsaktivitet; att i team klura på ett problem och sedan uppfinna sig en lösning till problemet. Forskarna Tobias Larsson och Omsri Aedulla Kumar berättade kort om problemlösningsprocessen och vilket material de hade att jobba med för att lösa utmaningen. Med […]

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A data-driven design framework for early stage PSS design exploration

Abstract Ubiquitous and pervasive computing holds great potential in the domain of Product-Service Systems to introduce a model-driven paradigm for decision support. Data-driven design is often discussed as a critical enabler for developing simulation models that comprehensively explore the PSS design space for complex systems, linking of performances to customer and provider value. Emerging from […]

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Robust Optimization Scheme for Inverse Method for Crystal Plasticity Model Parametrization

Abstract A bottom-up material modeling based on a nonlocal crystal plasticity model requires information of a large set of physical and phenomenological parameters. Because of the many material parameters, it is inherently difficult to determine the nonlocal crystal plasticity parameters. Therefore, a robust method is proposed to parameterize the nonlocal crystal plasticity model of a […]

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Measuring Experiential Learning: An Approach Based on Lessons Learned Mapping

Abstract: Fostering ‘experiential learning’ in real-life situations is a critical task for engineering educators when creating constructively aligned learning activities. The paper proposes an approach to measure the students’ perception of learning in Conceive-Design-Implement-Operate activities conducted outside the classroom. The approach is based on the opportunity of gathering and analyzing lessons learned from the student […]

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Integration of value and sustainability assessment in design space exploration by machine learning: an aerospace application

Abstract: The use of decision-making models in the early stages of the development of complex products and technologies is a well-established practice in industry. Engineers rely on well-established statistical and mathematical models to explore the feasible design space and make early decisions on future design configurations. At the same time, researchers in both value-driven design […]

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