{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T05:07:43Z","timestamp":1774933663965,"version":"3.50.1"},"reference-count":50,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2024,7,26]],"date-time":"2024-07-26T00:00:00Z","timestamp":1721952000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Victorian Higher Education State Investment Fund (VHESIF)"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Composite materials are increasingly important in making high-performance products. However, contemporary composites manufacturing processes still encounter significant challenges that range from inherent material stochasticity to manufacturing process variabilities. This paper proposes a novel smart Industrial Internet of Things framework, which is also referred to as an Artificial Intelligence of Things (AIoT) framework for composites manufacturing. This framework improves production performance through real-time process monitoring and AI-based forecasting. It comprises three main components: (i) an array of temperature, heat flux, dielectric, and flow sensors for data acquisition from production machines and products being made, (ii) an IoT-based platform for instantaneous sensor data integration and visualisation, and (iii) an AI-based model for production process forecasting. Via these components, the framework performs real-time production process monitoring, visualisation, and prediction of future process states. This paper also presents a proof-of-concept implementation of the framework and a real-world composites manufacturing case study that showcases its benefits.<\/jats:p>","DOI":"10.3390\/s24154852","type":"journal-article","created":{"date-parts":[[2024,7,26]],"date-time":"2024-07-26T06:17:44Z","timestamp":1721974664000},"page":"4852","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":43,"title":["Smart Industrial Internet of Things Framework for Composites Manufacturing"],"prefix":"10.3390","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2873-8942","authenticated-orcid":false,"given":"Boon Xian","family":"Chai","sequence":"first","affiliation":[{"name":"Aerostructures Innovation Research Hub (AIR Hub), Swinburne University of Technology, Hawthorn, VIC 3122, Australia"}]},{"given":"Maheshi","family":"Gunaratne","sequence":"additional","affiliation":[{"name":"Aerostructures Innovation Research Hub (AIR Hub), Swinburne University of Technology, Hawthorn, VIC 3122, Australia"}]},{"given":"Mohammad","family":"Ravandi","sequence":"additional","affiliation":[{"name":"Aerostructures Innovation Research Hub (AIR Hub), Swinburne University of Technology, Hawthorn, VIC 3122, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8685-6277","authenticated-orcid":false,"given":"Jinze","family":"Wang","sequence":"additional","affiliation":[{"name":"Aerostructures Innovation Research Hub (AIR Hub), Swinburne University of Technology, Hawthorn, VIC 3122, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-6728-3697","authenticated-orcid":false,"given":"Tharun","family":"Dharmawickrema","sequence":"additional","affiliation":[{"name":"Aerostructures Innovation Research Hub (AIR Hub), Swinburne University of Technology, Hawthorn, VIC 3122, Australia"}]},{"given":"Adriano","family":"Di Pietro","sequence":"additional","affiliation":[{"name":"Aerostructures Innovation Research Hub (AIR Hub), Swinburne University of Technology, Hawthorn, VIC 3122, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0306-2691","authenticated-orcid":false,"given":"Jiong","family":"Jin","sequence":"additional","affiliation":[{"name":"School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, VIC 3122, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7880-2140","authenticated-orcid":false,"given":"Dimitrios","family":"Georgakopoulos","sequence":"additional","affiliation":[{"name":"ARC Industrial Transformation Research Hub for Future Digital Manufacturing, Swinburne University of Technology, Hawthorn, VIC 3122, Australia"}]}],"member":"1968","published-online":{"date-parts":[[2024,7,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1049\/trit.2018.1008","article-title":"Artificial intelligence in Internet of things","volume":"3","author":"Ghosh","year":"2018","journal-title":"CAAI Trans. 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