loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock
Towards Collaborative Analysis of Computational Fluid Dynamics using Mixed Reality

Topics: Advanced User Interfaces; Augmented, Mixed and Virtual Environments; Augmented, Mixed and Virtual Environments; Collaborative Augmented, Mixed and Virtual Environments; Distributed Augmented, Mixed and Virtual Reality; Human Performance and Usability of Virtual Environments

Authors: Thomas Schweiß ; Deepak Nagaraj ; Simon Bender and Dirk Werth

Affiliation: August-Wilhelm Scheer Institut, Uni Campus Nord D 5.1, Saarbrücken, Germany

Keyword(s): Computational Fluid Dynamics, Mixed Reality, Collaborative Virtual Environments, Artificial Intelligence, Machine Learning.

Abstract: Computational fluid dynamics is an important subtopic in the field of fluid mechanics. The associated workflow includes post processing simulation data which can be enhanced using Mixed Reality to provide an intuitive and more realistic three-dimensional visualization. In this paper we present a cloud-based proof of concept Mixed Reality system to accomplish collaborative post processing and analysis of computational fluid dynamics simulation data. This system includes an automated data processing pipeline with a ML-based 3D mesh simplification approach and a collaborative environment using current head mounted Mixed Reality displays. To prove the effectiveness and accordingly support the workflow of engineers in the field of fluid mechanics we will evaluate and extend the system in future work.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.16.135.226

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Schweiß, T.; Nagaraj, D.; Bender, S. and Werth, D. (2021). Towards Collaborative Analysis of Computational Fluid Dynamics using Mixed Reality. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - GRAPP; ISBN 978-989-758-488-6; ISSN 2184-4321, SciTePress, pages 284-291. DOI: 10.5220/0010321602840291

@conference{grapp21,
author={Thomas Schweiß. and Deepak Nagaraj. and Simon Bender. and Dirk Werth.},
title={Towards Collaborative Analysis of Computational Fluid Dynamics using Mixed Reality},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - GRAPP},
year={2021},
pages={284-291},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010321602840291},
isbn={978-989-758-488-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - GRAPP
TI - Towards Collaborative Analysis of Computational Fluid Dynamics using Mixed Reality
SN - 978-989-758-488-6
IS - 2184-4321
AU - Schweiß, T.
AU - Nagaraj, D.
AU - Bender, S.
AU - Werth, D.
PY - 2021
SP - 284
EP - 291
DO - 10.5220/0010321602840291
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic