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Smart carving of hard-shell fruit with CO2 laser

2025Comunicação em conferência Acesso aberto
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Mecânica
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorFarrero, Bernardo
dc.contributor.authorBabo, Pedro
dc.contributor.authorRibeiro, Luís Frölén
dc.contributor.editor.
dc.date.accessioned2026-05-14T08:44:59Z
dc.date.available2026-05-14T08:44:59Z
dc.date.issued2025
dc.description.abstractThe application of CO₂ laser technology in food processing has gained significant attention due to its precision and adaptability. This study presents an intelligent system for carving hard-shell fruits, specifically acorns, to facilitate their shelling process. The proposed approach integrates real-time control and monitoring technologies to enhance precision and efficiency. A key challenge in acorn processing is the size and shell thickness variability, which complicates mechanical carving. The developed system employs a CO₂ laser to create precise incisions, ensuring optimal shell cracking during dehydration while preventing kernel damage. Experimental tests conducted at the Polytechnic Institute of Bragança identified optimal parameters—6 seconds of laser exposure at 40𝑊 power—for consistent and controlled carving. A thoughtful analysis system was implemented to assess pre- and post-carving conditions, enabling real-time adjustments to laser settings. This self-optimizing process improves the efficiency of the shell carving while reducing waste. The results demonstrate the feasibility of automated acorn carving using CO₂ laser technology, offering a scalable solution for industrial food processing with continuous control of the shell incision. Future research could explore advanced automation techniques to enhance system robustness and adaptability to different fruit types.eng
dc.description.sponsorshipThe authors thank Fundação para a Ciência e Tecnologia - FCT - I.P. through PRIMA/0005/2022, within the scope of the project MEDACORNET - Rescuing acorns as a Mediterranean traditional superfood.
dc.identifier.citationFarrero, Bernardo; Babo, Pedro, Ribeiro, Luís Fröolén (2025). Smart carving of hard-shell fruit with CO2 laser. In 2nd International Conference on Smart Automation and Robotics for Future Industry, SMARTINDUSTRY. p. 348-355
dc.identifier.urihttp://hdl.handle.net/10198/36658
dc.language.isoeng
dc.peerreviewedyes
dc.relationPRIMA/0005/2022
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectCO2 Laser
dc.subjectFood processing
dc.subjectSmart carving
dc.subjectAcorn shelling
dc.subjectAutomation
dc.titleSmart carving of hard-shell fruit with CO2 lasereng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardNumberPRIMA/0005/2022
oaire.awardTitlePRIMA/0005/2022
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/PRIMA Section 2 - 2022/PRIMA%2F0005%2F2022/PT
oaire.citation.endPage355
oaire.citation.startPage348
oaire.citation.title2nd International Conference on Smart Automation and Robotics for Future Industry, SMARTINDUSTRY
oaire.fundingStreamPRIMA Section 2 - 2022
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameFarrero
person.familyNameBabo
person.familyNameRibeiro
person.givenNameBernardo
person.givenNamePedro
person.givenNameLuís Frölén
person.identifierBisNVxQAAAAJ
person.identifier214770
person.identifier.ciencia-id821D-D5CB-3836
person.identifier.ciencia-id671A-70FE-D40D
person.identifier.ciencia-id7816-27A0-164D
person.identifier.orcid0009-0000-1666-2154
person.identifier.orcid0000-0003-4347-599X
person.identifier.orcid0000-0003-4336-6216
person.identifier.scopus-author-id56641496700
person.identifier.scopus-author-id55938870500
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublication1eb6c588-af61-459d-989e-79a4c0b9c4f1
relation.isAuthorOfPublication07532a51-11e5-4d8f-a2d9-bd2939d3923c
relation.isAuthorOfPublicationd42d13d9-85f9-43bf-8e17-b0666df89c51
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