Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/23621
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dc.contributor.authorVelázquez de la Hoz, JL-
dc.contributor.authorCheng, K-
dc.date.accessioned2021-11-28T18:08:05Z-
dc.date.available2021-11-28T18:08:05Z-
dc.date.issued2021-10-26-
dc.identifier252-
dc.identifier.citationVelázquez de la Hoz, J. L. and Cheng, K. (2021) ‘Development of an Intelligent Quality Management System for Micro Laser Welding: An Innovative Framework and Its Implementation Perspectives’, Machines, 9 (11), 252, pp. 1-21. doi: 10.3390/machines9110252.en_US
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/23621-
dc.description.abstractCopyright: © 2021 by the authors. Laser micro-welding manufacturers face substantial challenges in verifying weldment quality, as the industry and applications are requiring increasingly the miniaturization and compactness of products. The problem is compounded by new stringent demands for personalized products at competitive, low costs and the highest quality levels. High-pressure equipment manufacturers, in particular, rely on ISO 3834:2021 to assure and demonstrate best welding practices but also to manage risks associated with liability issues. ISO 3834:2021, like all conventional quality management systems, offers a one-dimensional, quasi-static overview of welding quality that may fail to deal with these new challenges and underlying complexities required to deal effectively with process variability. This paper presents a framework for welding companies to integrate horizontally their suppliers and customers with their processes and products, which are also integrated vertically in the context of Smart Manufacturing or Industry 4.0. It is focused on the development of a smart quality management system for intelligent digitization of all company manufacturing and business processes. Furthermore, an innovative data-based welding quality management framework is described for laser micro-welding applications and their implementation perspectives. The research is driven by an inductive methodology and based on a seamless integration of engineering-oriented heuristic and empirical approaches that is appropriate for intelligent and autonomous quality management, given the lack of research in this niche, but increasingly important topic area.en_US
dc.format.extent1 - 21-
dc.languageen-
dc.language.isoen_USen_US
dc.publisherMDPI AGen_US
dc.rightsCopyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This is an open access article distributed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectlaser micro-weldingen_US
dc.subjectin-process quality monitoringen_US
dc.subjectwelding qualityen_US
dc.subjectIndustry 4.0en_US
dc.subjectend-to-end integrationen_US
dc.subjectvalue chain networksen_US
dc.titleDevelopment of an Intelligent Quality Management System for Micro Laser Welding: An Innovative Framework and Its Implementation Perspectivesen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.3390/machines9110252-
dc.relation.isPartOfMachines-
pubs.issue11-
pubs.publication-statusPublished online-
pubs.volume9-
dc.identifier.eissn2075-1702-
Appears in Collections:Dept of Mechanical and Aerospace Engineering Research Papers

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