Carbon fibre detection in polymer composites reinforced by chopped carbon fibres through digital image processing and machine learning

https://m2.mtmt.hu/ hun 2026-05-02 05:55 JournalArticle 35156746 VALIDATED true Faculty of Mechanical Engineering, Department of Manufacturing Science and Engineering, Budapest University of Technology and Economics, Budapest, Hungary Division of Factory Planning and Production Management, Fraunhofer Austria Research GmbH, Vienna, Austria Correspondence Address: Geier, N.; Faculty of Mechanical Engineering, Hungary; email: geier.norbert@gpk.bme.hu Funding details: European Commission, EC Funding details: National Research, Development and Innovation Office Funding details: 739592 Funding details: Magyar Tudományos Akadémia, MTA, ÚNKP-23-5-BME-409, ÚNKP-23-3-I-BME-201, BO/00508/22/6 Funding text 1: The research reported in this paper and carried out at BME has been supported by the National Laboratory of Artificial Intelligence funded by the NRDIO under the auspices of the Ministry for Innovation and Technology. This research was partly supported by the J\\u00E1nos Bolyai Research Scholarship of the Hungarian Academy of Sciences No. BO/00508/22/6 and by the New National Excellence Program of the Ministry for Innovation and Technology No. \\u00DANKP-23-5-BME-409 and \\u00DANKP-23-3-I-BME-201. Work for this paper was supported by the European Commission through the H2020 project EPIC under grant No. 739592. This project supported by the Doctoral Excellence Fellowship Programme (DCEP) is partly funded by the National Research Development and Innovation Fund of the Ministry of Culture and Innovation and the Budapest University of Technology and Economics, under a grant agreement with the National Research, Development and Innovation Office. Funding text 2: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the by the NRDIO, Hungarian Academy of Sciences; No. BO/00508/22/6, Ministry for Innovation and Technology; No. \\u00DANKP-23-5-BME-409 and \\u00DANKP-23-3-I-BME-201, European Commission through the H2020 project EPIC under grant No. 739592, Ministry of Culture and Innovation and the Budapest University of Technology and Economics. 0 false 2026-01-02T01:00:24.492+0000 2024-09-13T17:42:03.480+0000 2024-08-02T09:02:33.611+0000 true 10056359 Geier Norbert /api/author/10056359 Author Geier Norbert (Gyártástechnológia) true 10056359 2025-12-11T09:51:31.838+0000 2024-09-17T00:56:40.128+0000 true 521 Szuper Admin /api/admin/521 Admin Szuper Admin (admin) true true false true 24 24 /api/publicationtype/24 PublicationType Folyóiratcikk 1 true 24 JournalArticle true 10000059 Article true 24 24 /api/publicationtype/24 PublicationType Folyóiratcikk 1 true 24 JournalArticle /api/subtype/10000059 Szakcikk SubType Szakcikk (Folyóiratcikk) 101 true 10000059 true 1 /api/category/1 Category Tudományos true 1 Geier, Norbert Carbon fibre detection in polymer composites reinforced by chopped carbon fibres through digital image processing and machine learning true true /api/journal/2393 REVIEWED JOURNAL OF COMPOSITE MATERIALS 0021-9983 1530-793X true false 2393 false 2393 true 0021-9983 1530-793X Journal FOREIGN 58 21 2379 2395 2379 17 2024 Mechanical and thermodynamical properties and thus machinability of carbon fibre reinforced polymer composites significantly depend on the fibre orientation relative to the load direction. However, the orientations of the fibre groups in polymer composites reinforced by chopped carbon fibres are stochastic; therefore, the properties and machinability of such composites are challenging to plan, predict and optimise. We developed four different and novel approaches for fibre detection in polymer composites reinforced by chopped carbon fibres: (i) detecting the fibres through naked eye supported manual drawing, (ii) digital image processing of optical images, (iii) machine learning-based fibre detection, and (iv) rectangle fitting on the outputs of the automated processes using the Chaudhuri and Samal method. The applicability of the novel approaches was tested through optically captured images of polymer composites reinforced by chopped carbon fibres. The developed methods are each capable of detecting fibre groups at the top and bottom of the composite plate with certain limitations. The rectangle fitting approaches performed the best from the point of view of correctly identifying of fibre groups, followed by the machine learning-based and the conventional digital image processed, respectively. As a result of this study, the machining process planning and condition monitoring of polymer composites reinforced by chopped carbon fibres is more deeply supported. 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-technológia Tanszék (BME / GPK) 4 5 1 5 0 true Language 10002 /api/language/10002 Angol Angol English true 2 true PersonAuthorship 118482160 /api/authorship/118482160 Geier, Norbert ✉ [Geier, Norbert (Gyártástechnológia), szerző] Gyártástudomány és -technológia Tanszék (BME / GPK) 1 0.2 true false true Author 10056359 /api/author/10056359 Geier Norbert (Gyártástechnológia) Geier Norbert true 10056359 true Geier Norbert true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 118482161 /api/authorship/118482161 Magyar, Gergely [Magyar, Gergely (Gyártástechnológia), szerző] Gyártástudomány és -technológia Tanszék (BME / GPK) 2 0.2 false false false Author 10082692 /api/author/10082692 Magyar Gergely (Gyártástechnológia) Magyar Gergely true true Magyar Gergely true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 118482162 /api/authorship/118482162 Giner, Jakob 3 0.2 false false false Giner 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(2024) JOURNAL OF COMPOSITE MATERIALS 0021-9983 1530-793X 58 21 2379-2395<div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10056359"><a href="/gui2/?type=authors&mode=browse&sel=10056359" target="_blank">Geier Norbert ✉ (<span class="authorship-author-name">Geier Norbert</span> <span class="authorAux-mtmt"> Gyártástechnológia</span>) </a> </span> <span class="author-affil"><span title="Budapesti Műszaki és Gazdaságtudományi Egyetem">BME</span>/<span title="Gépészmérnöki Kar">GPK</span>/Gyártástudomány és -technológia Tanszék</span> ;    <span class="author-name" mtid="10082692"><a href="/gui2/?type=authors&mode=browse&sel=10082692" target="_blank">Magyar Gergely (<span class="authorship-author-name">Magyar Gergely</span> <span class="authorAux-mtmt"> Gyártástechnológia</span>) </a> </span> <span class="author-affil"><span title="Budapesti Műszaki és Gazdaságtudományi Egyetem">BME</span>/<span title="Gépészmérnöki Kar">GPK</span>/Gyártástudomány és -technológia Tanszék</span> ;    <span class="author-name" >Giner Jakob </span> ;    <span class="author-name" mtid="10082694"><a href="/gui2/?type=authors&mode=browse&sel=10082694" target="_blank">Lukács Tamás (<span class="authorship-author-name">Lukács Tamás</span> <span class="authorAux-mtmt"> Gyártástechnológia</span>) </a> </span> <span class="author-affil"><span title="Budapesti Műszaki és Gazdaságtudományi Egyetem">BME</span>/<span title="Gépészmérnöki Kar">GPK</span>/Gyártástudomány és -technológia Tanszék</span> ;    <span class="author-name" mtid="10040762"><a href="/gui2/?type=authors&mode=browse&sel=10040762" target="_blank">Póka György (<span class="authorship-author-name">Póka György</span> <span class="authorAux-mtmt"> Gyártástechnológia</span>) </a> </span> <span class="author-affil"><span title="Budapesti Műszaki és Gazdaságtudományi Egyetem">BME</span>/<span title="Gépészmérnöki Kar">GPK</span>/Gyártástudomány és -technológia Tanszék</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;35156746" target="_blank">Carbon fibre detection in polymer composites reinforced by chopped carbon fibres through digital image processing and machine learning</a></div> <div> <span class="journal-title">JOURNAL OF COMPOSITE MATERIALS</span> <span class="journal-issn">(<a target="_blank" href="https://portal.issn.org/resource/ISSN/0021-9983">0021-9983</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/1530-793X">1530-793X</a>)</span>: <span class="journal-volume">58</span> <span class="journal-issue">21</span> <span class="page"> pp 2379-2395 </span> <span class="year">(2024)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1177/00219983241268861" target="_blank" href="https://doi.org/10.1177/00219983241268861"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="001279801300001" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/001279801300001"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85200049678" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85200049678"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="https://journals.sagepub.com/doi/10.1177/00219983241268861" target="_blank" href="https://journals.sagepub.com/doi/10.1177/00219983241268861"> Egyéb URL </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="https://phd.gpk.bme.hu/pub/s/j/l9/t3?3002358" target="_blank" href="https://phd.gpk.bme.hu/pub/s/j/l9/t3?3002358"> Egyéb URL </a> </span> </span> <OnlyViewableByAuthor><div class="ratings"> <div class="journal-subject">Folyóirat szakterülete: Scopus - Ceramics and Composites   SJR indikátor: Q2</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Materials Chemistry   SJR indikátor: Q2</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Mechanical Engineering   SJR indikátor: Q2</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Mechanics of Materials   SJR indikátor: Q2</div> </div></OnlyViewableByAuthor> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="Nyilvános idézőközlemények összesen, említések nélkül" class="citingPub-count">Nyilvános idéző összesen: 1</span> | Független: 0 | Függő: 1 | Nem jelölt: 0 | WoS jelölt: 1 | Scopus jelölt: 1 | WoS/Scopus jelölt: 1 | DOI jelölt: 1 </div> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;35156746&sort=publishedYear,desc&sort=title"> Idézett közlemények száma: 18 </a> </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 35156746</span> | <span class="status-data status-VALIDATED"> Egyeztetett </span> Forrás Idéző | <span class="type-subtype">Folyóiratcikk ( Szakcikk ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">kézi felvitel</span> </div> <div class="funder"> MILAB(RRF-2.3.1-21-2022-00004) Támogató: NKFIH </div> <div class="notDuplums"><a target="_blank" href="/api/publication/35156746/notduplums">350 Nem duplumnak jelölés</a> </div> <div class="lastModified">Utolsó módosítás: 2024.09.13. 19:42 Fülöp Tamás (BME GPK admin5) </div> <pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Megjegyzés</u>: Faculty of Mechanical Engineering, Department of Manufacturing Science and Engineering, Budapest University of Technology and Economics, Budapest, Hungary Division of Factory Planning and Production Management, Fraunhofer Austria Research GmbH, Vienna, Austria Correspondence Address: Geier, N.; Faculty of Mechanical Engineering, Hungary; email: geier.norbe...</pre> </div></div>