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Multidisciplinary Scientific Visualization in European R&D Projects

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Book cover Visual Computing

Part of the book series: Augmented Vision and Reality ((Augment Vis Real,volume 4))

Abstract

The manuscript addresses Scientific Visualization (SV) challenges in the Modeling and Simulation (M&S) environments, experienced by the author in the multidisciplinary European Research and Development (R&D) projects, which are important to be resolved for the growing complexity in evolving engineering software and their related visualization features, as an essential factor to improve their quality and efficient use. The visualization tools are considered as the natural integration mechanism to evidence the complexity and to provide missing integration solutions. Today, the visualization tools are equipped with highly interactive visual aids, which allow analysis and inspection of complex numerical data generated from high-bandwidth data sources such as simulation software, experimental rigs, satellites, scanners, etc. Such tools help scientist and engineers in data extraction, visualization, interpretation, and analysis tasks, enabling them to experience high degree of interaction and effectiveness in solving engineering problems. The modern engineering design is, and has to be based on the M&S principles, the key enabler to combine multidisciplinary workflows, which manage and structure such highly complex industrial solutions, supposed to integrate generic M&S tools based on the open standards solutions. The author gained experience in solving the M&S problems in European engineering R&D projects is presented throughout a time-span of last two decades, where the software technologies have been researched and demonstrated, especially addressing the SV software evolution in engineering, and in addition, the information visualization in general.

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Abbreviations

CAD:

Computer aided design

CAE:

Computer aided engineering

CFD:

Computational fluid dynamics

CFView:

Computational flow field visualization

EFD:

Experimental fluid dynamics

EU:

European union

GUI:

Graphical user interface

IME:

Integrated modeling environment

J2EE:

Java 2 platform, enterprise edition

JOnAS:

Java open-source J2EE application server

KBE:

Knowledge based engineering

KDD:

Knowledge discovery and data mining

MVC:

Model View Controller

MVE:

Modular visualization environments

OOM:

Object oriented methodology

OOP:

Object oriented programming

OOPL:

Object-oriented programming language

PIV:

Particle image velocimetry

QFView:

Quantitative flow field visualization

SDK:

Software development kit

SOAP:

Simple object access protocol

SV:

Scientific visualization

SW:

Scientific workflow

VisAD:

Visualization for algorithm development

VA:

Visual analytics

VTK:

Visualization toolkit

VUB:

Vrije Universiteit Brussel

WWW:

World Wide Web

WS:

Web services

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Acknowledgments

The acknowledgment goes to all the EU projects consortia and the related participants, who took place in these challenging R&D projects span over the last two decades.

The fundings of the European Commission (EC) and the Flemish institute for Innovation and Technology (IWT) are gratefully acknowledged; the LCLMS, ALICE, LASCOT, QNET-CFD, SERKET, and 3D-TestBench projects have been instrumental in allowing carrying out such R&D work. The author is grateful to Vrije Universiteit Brussel for providing the necessary research and computer facilities for running the implementation of the engaged projects.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Department of Electronics and Informatics, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium

    Dean Vucinic

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  1. Dean Vucinic
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Correspondence to Dean Vucinic .

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Editors and Affiliations

  1. Mechanical Engineering Department, Universidade Federal Fluminense, Niterói – Rio de Janeiro, Brazil

    Fabiana Rodrigues Leta

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Vucinic, D. (2014). Multidisciplinary Scientific Visualization in European R&D Projects. In: Rodrigues Leta, F. (eds) Visual Computing. Augmented Vision and Reality, vol 4. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55131-4_1

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  • DOI: https://doi.org/10.1007/978-3-642-55131-4_1

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