Real time defect detection during composite layup via Tactile Shape Sensing
In this study an automated composite layup end effector is presented which is the first to be able to find defects in real time during layup using tactile shape sensing. Based around an existing sensor concept developed by the Bristol Robot Laboratory known as the ‘TacTip’, a new end effector is dev...
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De Gruyter
2021
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oai:doaj.org-article:423ed78c374946b8842ec99427f3ac492021-12-05T14:11:03ZReal time defect detection during composite layup via Tactile Shape Sensing0792-12332191-035910.1515/secm-2021-0001https://doaj.org/article/423ed78c374946b8842ec99427f3ac492021-01-01T00:00:00Zhttps://doi.org/10.1515/secm-2021-0001https://doaj.org/toc/0792-1233https://doaj.org/toc/2191-0359In this study an automated composite layup end effector is presented which is the first to be able to find defects in real time during layup using tactile shape sensing. Based around an existing sensor concept developed by the Bristol Robot Laboratory known as the ‘TacTip’, a new end effector is developed, replacing the soft gel core of the original sensor was replaced by a much firmer elastomer, enabling it to apply up to 400N of compaction force. In this paper it is shown to successfully detect typical defects such as wrinkles, foreign objects, layup errors or incorrect material types while simultaneously compacting preimpregnated composite materials over complex mould shapes.Elkington MichaelAlmas EvenWard-Cherrier BenPestell NickLloyd J.Ward CarwynLepora NathanDe Gruyterarticleprepregcarbon fibrewrinklebridgeforeign objecttactipMaterials of engineering and construction. Mechanics of materialsTA401-492ENScience and Engineering of Composite Materials, Vol 28, Iss 1, Pp 1-10 (2021) |
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prepreg carbon fibre wrinkle bridge foreign object tactip Materials of engineering and construction. Mechanics of materials TA401-492 |
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prepreg carbon fibre wrinkle bridge foreign object tactip Materials of engineering and construction. Mechanics of materials TA401-492 Elkington Michael Almas Even Ward-Cherrier Ben Pestell Nick Lloyd J. Ward Carwyn Lepora Nathan Real time defect detection during composite layup via Tactile Shape Sensing |
description |
In this study an automated composite layup end effector is presented which is the first to be able to find defects in real time during layup using tactile shape sensing. Based around an existing sensor concept developed by the Bristol Robot Laboratory known as the ‘TacTip’, a new end effector is developed, replacing the soft gel core of the original sensor was replaced by a much firmer elastomer, enabling it to apply up to 400N of compaction force. In this paper it is shown to successfully detect typical defects such as wrinkles, foreign objects, layup errors or incorrect material types while simultaneously compacting preimpregnated composite materials over complex mould shapes. |
format |
article |
author |
Elkington Michael Almas Even Ward-Cherrier Ben Pestell Nick Lloyd J. Ward Carwyn Lepora Nathan |
author_facet |
Elkington Michael Almas Even Ward-Cherrier Ben Pestell Nick Lloyd J. Ward Carwyn Lepora Nathan |
author_sort |
Elkington Michael |
title |
Real time defect detection during composite layup via Tactile Shape Sensing |
title_short |
Real time defect detection during composite layup via Tactile Shape Sensing |
title_full |
Real time defect detection during composite layup via Tactile Shape Sensing |
title_fullStr |
Real time defect detection during composite layup via Tactile Shape Sensing |
title_full_unstemmed |
Real time defect detection during composite layup via Tactile Shape Sensing |
title_sort |
real time defect detection during composite layup via tactile shape sensing |
publisher |
De Gruyter |
publishDate |
2021 |
url |
https://doaj.org/article/423ed78c374946b8842ec99427f3ac49 |
work_keys_str_mv |
AT elkingtonmichael realtimedefectdetectionduringcompositelayupviatactileshapesensing AT almaseven realtimedefectdetectionduringcompositelayupviatactileshapesensing AT wardcherrierben realtimedefectdetectionduringcompositelayupviatactileshapesensing AT pestellnick realtimedefectdetectionduringcompositelayupviatactileshapesensing AT lloydj realtimedefectdetectionduringcompositelayupviatactileshapesensing AT wardcarwyn realtimedefectdetectionduringcompositelayupviatactileshapesensing AT leporanathan realtimedefectdetectionduringcompositelayupviatactileshapesensing |
_version_ |
1718371417024626688 |