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Tensor lines in engineering: success, failure, and open questions
University Saarbrücken, Saarbrücken, Germany.
Zuse Institute Berlin, Berlin, Germany.
Universität Leipzig, Leipzig, Germany .
Universität Leipzig, Leipzig, Germany.
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2015 (English)In: Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data / [ed] Ingrid Hotz, Thomas Schultz, Cham: Springer, 2015, 339-351 p.Chapter in book (Refereed)
Abstract [en]

Today, product development processes in mechanical engineering are almost entirely carried out via computer-aided simulations. One essential output of these simulations are stress tensors, which are the basis for the dimensioning of the technical parts. The tensors contain information about the strength of internal stresses as well as their principal directions. However, for the analysis they are mostly reduced to scalar key metrics. The motivation of this work is to put the tensorial data more into focus of the analysis and demonstrate its potential for the product development process. In this context we resume a visualization method that has been introduced many years ago, tensor lines. Since tensor lines have been rarely used in visualization applications, they are mostly considered as physically not relevant in the visualization community. In this paper we challenge this point of view by reporting two case studies where tensor lines have been applied in the process of the design of a technical part. While the first case was a real success, we could not reach similar results for the second case. It became clear that the first case cannot be fully generalized to arbitrary settings and there are many more questions to be answered before the full potential of tensor lines can be realized. In this chapter, we review our success story and our failure case and discuss some directions of further research.

Place, publisher, year, edition, pages
Cham: Springer, 2015. 339-351 p.
Series
Mathematics and Visualization, ISSN 1612-3786 ; 2015
Keyword [en]
tensor field visualization
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-127652DOI: 10.1007/978-3-319-15090-1_17ISI: 000380461100017Libris ID: 19609530ISBN: 9783319150895 (print)ISBN: 9783319150901 (print)OAI: oai:DiVA.org:liu-127652DiVA: diva2:926338
Available from: 2016-05-06 Created: 2016-05-06 Last updated: 2016-08-19Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
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  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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