Additive Manufacturing (AM) is a collective term for processes that join material, usually layer upon layer, to make parts from 3D model data. AM creates parts with new, variable and anisotropic material properties, innovative outer shape and advanced inner structures not possible to produce with su...

The volume of geospatial data acquired by satellites, from the air, on the ground, on the sea or in the sea using image, lidar or sonar technology is continuously growing. Surveys are often conducted in locations that have existing data from before, providing updated datasets. The data acquired can ...

A challenge for the deployment of IGA in industry is existing solutions (CAD, FEA) and the legacy and bulk of preexisting digital information. Rather than focusing on application areas dominated by FEA, IGA should focus on novel applications areas where fewer established solutions exist and the lega...

The challenges of geometric representation for Additive Manufacturing (AM) are many. Material properties can vary through the object, lattice structure and internal voids are used for improving performance. State-of-the-art CAD-tools are not well suited for AM as they are b-rep based: An object is r...

Digital representations targeting design and simulation for Additive Manufacturing (AM) are addressed from the perspective of Computer Aided Geometric Design. We discuss the feasibility for multi-material AM for B-rep based CAD, STL, sculptured triangles as well as trimmed and block-structured triva...

The different digital challenges related to Additive Manufacturing were addressed, with a focus on design and simulation, as well as the needed interoperability of the product development for Additive Manufacturing....

The outcomes of fp7 IP IQmulus (2012-2016) were presented and the follow up if the results on the marine results in the Norwegian ICT Pluss Project ANALYST (2017-2021) outlined. The main scientific focus of the presentation was the use of Locally Refined splines for compact representation and analys...