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Tor Dokken

Research Manager / Chief Scientist

Tor Dokken

Research Manager / Chief Scientist

Tor Dokken
Phone: 930 58 710
Department: Mathematics and Cybernetics
Office: Oslo

Publications and responsibilities

Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1635152

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...

Year 2018
Type Conference lecture and academic presentation
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1635141

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...

Authors Dokken Tor
Year 2018
Type Conference lecture and academic presentation
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1624517

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...

Year 2018
Type Journal publication
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1577861

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...

Authors Dokken Tor
Year 2018
Type Conference lecture and academic presentation
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1534135

A set of bathymetry point clouds acquired by different measurement techniques at different times, having different accuracy and varying patterns of points, are approximated by an LR B-spline surface. The aim is to represent the sea bottom with good accuracy and at the same time reduce the data size ...

Year 2017
Type Part of a book/report