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Research Papers

Modeling Framework for a Consistent Integration of Geometry Knowledge During Conceptual Design

[+] Author and Article Information
Romain Barbedienne

IRT SystemX,
8 Avenue de la Vauve,
Palaiseau 91120, France
e-mail: romain.barbedienne@irt-systemx.fr

Olivia Penas

Laboratoire QUARTZ (EA7393) Supmeca,
3 rue Fernand Hainaut,
Saint-Ouen 93400, France
e-mail: olivia.penas@supmeca.fr

Jean-Yves Choley

Laboratoire QUARTZ (EA7393) Supmeca,
3 rue Fernand Hainaut,
Saint-ouen 93400, France
e-mail: jean-yves.choley@supmeca.fr

Peter Hehenberger

University of Applied Sciences Upper Austria,
FH Oberösterreich Stelzhamerstraße 23,
Wels 4600, Austria
e-mail: peter.hehenberger@fh-wels.at

1Corresponding author.

Contributed by the Computers and Information Division of ASME for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING. Manuscript received January 31, 2018; final manuscript received December 18, 2018; published online March 6, 2019. Assoc. Editor: Caterina Rizzi.

J. Comput. Inf. Sci. Eng 19(2), 021009 (Mar 06, 2019) (16 pages) Paper No: JCISE-18-1032; doi: 10.1115/1.4042551 History: Received January 31, 2018; Revised December 18, 2018

This paper proposes a modeling framework for a consistent geometrical data link between a system model and a spatial architecture modeling in a 3D computer-aided design (CAD) environment, with a model-based system engineering (MBSE) approach. Our approach, focused on the conceptual design stage, for the evaluation of 3D architecture under physical constraints, aims at improving the system design by ensuring data consistency during collaborative design. This model transformation platform will ensure a seamless geometrical consistency and traceability from the requirements to the further design stages. The theoretical formalization of our approach presents a consistent integration of geometry knowledge all along the conceptual design. Then, the corresponding modeling platform implementation between the developed system modeling language (SysML) geometrical extension and a 3D CAD tool is described before detailing an application on a conveyor case study.

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Figures

Grahic Jump Location
Fig. 1

TTRS modeling data model implemented in GERTRUDe

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Fig. 2

Model transformation approach

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Fig. 3

Model transformation formalization using the direct translation

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Fig. 4

Model transformation detailed process using activity diagram

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Fig. 5

Example of a finite cylinder construction during the model transformation

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Fig. 6

Transformation of a 3D component into GERTRUDe

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Fig. 7

Three-dimensional CAD into TTRS representation transformation

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Fig. 8

Conveyor case study description

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Fig. 9

Extract from conveyor system requirements

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Fig. 10

Initial physical architecture of the conveyor

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Fig. 11

Geometrical enrichment of physical architecture by GERTRUDe

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Fig. 12

Construction of the double cylinder support geometry

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Fig. 13

Specification of relative positioning constraints to build the support double cylinder TTRS

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Fig. 14

Distance constraint linked to the geometrical quantified requirements

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