LAPSE:2023.27549
Published Article
LAPSE:2023.27549
Future Sensors for Smart Objects by Printing Technologies in Industry 4.0 Scenario
April 4, 2023
Industry 4.0 has radically been transforming the production processes and systems with the adoption of enabling technologies, such as Internet of things (IoT), big data, additive manufacturing (AM), and cloud computing. In this context, sensors are essential to extract information about production, spare parts, equipment health, and environmental conditions necessary for improving many aspects of industrial processes (flexibility, efficiency, costs, etc.). Sensors should be placed everywhere (on machines, smart devices, objects, and tools) inside the factory to monitor in real-time physical quantities such as temperature, vibrations, deformations that could affect the production. Printed electronics (PE) offers techniques to produce unconventional sensor and systems or to make conventional objects “smart”. This work aims to analyze innovative PE technologies—inkjet printing and aerosol jet printing in combination with photonic curing—as manufacturing technologies for electronics and sensors to be integrated into objects, showing a series of sensors fabricated by PE as applications that will be adopted for smart objects and Industry 4.0.
Keywords
aerosol jet printing, environmental parameters monitoring, flash lamp annealing, I4.0, Industry 4.0, inkjet printing, IoT, PdM, photonic curing, predictive maintenance, smart devices
Suggested Citation
Borghetti M, Cantù E, Sardini E, Serpelloni M. Future Sensors for Smart Objects by Printing Technologies in Industry 4.0 Scenario. (2023). LAPSE:2023.27549
Author Affiliations
Borghetti M: Department of Information Engineering, University of Brescia, Via Branze 38, 25123 Brescia, Italy [ORCID]
Cantù E: Department of Information Engineering, University of Brescia, Via Branze 38, 25123 Brescia, Italy
Sardini E: Department of Information Engineering, University of Brescia, Via Branze 38, 25123 Brescia, Italy [ORCID]
Serpelloni M: Department of Information Engineering, University of Brescia, Via Branze 38, 25123 Brescia, Italy [ORCID]
Journal Name
Energies
Volume
13
Issue
22
Article Number
E5916
Year
2020
Publication Date
2020-11-13
Published Version
ISSN
1996-1073
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Original Submission
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PII: en13225916, Publication Type: Journal Article
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LAPSE:2023.27549
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doi:10.3390/en13225916
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Apr 4, 2023
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