Machine Vision for As-Built Modeling of Complex Draped Composite Structures

The transition in the use of fiber composite structures from special applications to application in the mass market is accompanied by high demands in quality assurance. The consequential costs of unclear process design, unknown fiber orientations, and uncertainty regarding the effects of any fiber a...

Full description

Bibliographic Details
Main Authors: Oliver Döbrich, Ayoh Anderegg, Nicolas Gort, Christian Brauner
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Materials
Subjects:
Online Access:https://www.mdpi.com/1996-1944/14/3/682
_version_ 1797416545613250560
author Oliver Döbrich
Ayoh Anderegg
Nicolas Gort
Christian Brauner
author_facet Oliver Döbrich
Ayoh Anderegg
Nicolas Gort
Christian Brauner
author_sort Oliver Döbrich
collection DOAJ
description The transition in the use of fiber composite structures from special applications to application in the mass market is accompanied by high demands in quality assurance. The consequential costs of unclear process design, unknown fiber orientations, and uncertainty regarding the effects of any fiber angle deviations can lead to market considerations (higher costs/time for development) in mass production that advise against the use of fiber composites, despite their superiority compared with conservative materials. Active monitoring of the deposited reinforcement layers and an evaluation of the real fiber orientation can form the basis of a robust industrial use of fiber composites by a first-time right production that is able to reduce the process variability. This paper describes the application of an image analysis system to provide both geometric topology and local reinforcement fiber orientation feedback to a finite-element (FE) model. The application during an industrial composite part production is described, and the possibilities of using it for the improvement of the lightweight character, the reduction of rejects, and the realization of a quality management system are shown. The determined component data are made directly available for use in numerical simulations and, thus, they serve as a non-destructive evaluation of the components under real conditions in which all production-dependent influences that affect the fiber orientation are incorporated.
first_indexed 2024-03-09T06:05:44Z
format Article
id doaj.art-d5dd3b3990dd4e0182c3f9f1aadcdf7e
institution Directory Open Access Journal
issn 1996-1944
language English
last_indexed 2024-03-09T06:05:44Z
publishDate 2021-02-01
publisher MDPI AG
record_format Article
series Materials
spelling doaj.art-d5dd3b3990dd4e0182c3f9f1aadcdf7e2023-12-03T12:05:04ZengMDPI AGMaterials1996-19442021-02-0114368210.3390/ma14030682Machine Vision for As-Built Modeling of Complex Draped Composite StructuresOliver Döbrich0Ayoh Anderegg1Nicolas Gort2Christian Brauner3Institute of Polymer Engineering, FHNW University of Applied Sciences and Arts Northwestern Switzerland, Klosterzelgstrasse 2, 5210 Windisch, SwitzerlandInstitute of Polymer Engineering, FHNW University of Applied Sciences and Arts Northwestern Switzerland, Klosterzelgstrasse 2, 5210 Windisch, SwitzerlandInstitute of Polymer Engineering, FHNW University of Applied Sciences and Arts Northwestern Switzerland, Klosterzelgstrasse 2, 5210 Windisch, SwitzerlandInstitute of Polymer Engineering, FHNW University of Applied Sciences and Arts Northwestern Switzerland, Klosterzelgstrasse 2, 5210 Windisch, SwitzerlandThe transition in the use of fiber composite structures from special applications to application in the mass market is accompanied by high demands in quality assurance. The consequential costs of unclear process design, unknown fiber orientations, and uncertainty regarding the effects of any fiber angle deviations can lead to market considerations (higher costs/time for development) in mass production that advise against the use of fiber composites, despite their superiority compared with conservative materials. Active monitoring of the deposited reinforcement layers and an evaluation of the real fiber orientation can form the basis of a robust industrial use of fiber composites by a first-time right production that is able to reduce the process variability. This paper describes the application of an image analysis system to provide both geometric topology and local reinforcement fiber orientation feedback to a finite-element (FE) model. The application during an industrial composite part production is described, and the possibilities of using it for the improvement of the lightweight character, the reduction of rejects, and the realization of a quality management system are shown. The determined component data are made directly available for use in numerical simulations and, thus, they serve as a non-destructive evaluation of the components under real conditions in which all production-dependent influences that affect the fiber orientation are incorporated.https://www.mdpi.com/1996-1944/14/3/682compositesdigital-twinas-builtfinite elementsmachine visionfibers
spellingShingle Oliver Döbrich
Ayoh Anderegg
Nicolas Gort
Christian Brauner
Machine Vision for As-Built Modeling of Complex Draped Composite Structures
Materials
composites
digital-twin
as-built
finite elements
machine vision
fibers
title Machine Vision for As-Built Modeling of Complex Draped Composite Structures
title_full Machine Vision for As-Built Modeling of Complex Draped Composite Structures
title_fullStr Machine Vision for As-Built Modeling of Complex Draped Composite Structures
title_full_unstemmed Machine Vision for As-Built Modeling of Complex Draped Composite Structures
title_short Machine Vision for As-Built Modeling of Complex Draped Composite Structures
title_sort machine vision for as built modeling of complex draped composite structures
topic composites
digital-twin
as-built
finite elements
machine vision
fibers
url https://www.mdpi.com/1996-1944/14/3/682
work_keys_str_mv AT oliverdobrich machinevisionforasbuiltmodelingofcomplexdrapedcompositestructures
AT ayohanderegg machinevisionforasbuiltmodelingofcomplexdrapedcompositestructures
AT nicolasgort machinevisionforasbuiltmodelingofcomplexdrapedcompositestructures
AT christianbrauner machinevisionforasbuiltmodelingofcomplexdrapedcompositestructures