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Future Sensors for Smart Objects by Printing Technologies in Industry 4.0 Scenario

Author

Listed:
  • Michela Borghetti

    (Department of Information Engineering, University of Brescia, Via Branze 38, 25123 Brescia, Italy)

  • Edoardo Cantù

    (Department of Information Engineering, University of Brescia, Via Branze 38, 25123 Brescia, Italy)

  • Emilio Sardini

    (Department of Information Engineering, University of Brescia, Via Branze 38, 25123 Brescia, Italy)

  • Mauro Serpelloni

    (Department of Information Engineering, University of Brescia, Via Branze 38, 25123 Brescia, Italy)

Abstract

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.

Suggested Citation

  • Michela Borghetti & Edoardo Cantù & Emilio Sardini & Mauro Serpelloni, 2020. "Future Sensors for Smart Objects by Printing Technologies in Industry 4.0 Scenario," Energies, MDPI, vol. 13(22), pages 1-15, November.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:22:p:5916-:d:444373
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    References listed on IDEAS

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    1. Robert Lou & Kevin P. Hallinan & Kefan Huang & Timothy Reissman, 2020. "Smart Wifi Thermostat-Enabled Thermal Comfort Control in Residences," Sustainability, MDPI, vol. 12(5), pages 1-15, March.
    2. Carolina Del-Valle-Soto & Leonardo J. Valdivia & Ramiro Velázquez & Luis Rizo-Dominguez & Juan-Carlos López-Pimentel, 2019. "Smart Campus: An Experimental Performance Comparison of Collaborative and Cooperative Schemes for Wireless Sensor Network," Energies, MDPI, vol. 12(16), pages 1-23, August.
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    Cited by:

    1. Hsu, Ping-Chia & Saragih, Ahmad Abror & Huang, Mei-Jiau & Juang, Jia-Yang, 2022. "New machine functions using waste heat recovery: A case study of atmospheric pressure plasma jet," Energy, Elsevier, vol. 239(PD).

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