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• W3205419692 endingPage "122372" @default.
• W3205419692 startingPage "122372" @default.
• W3205419692 abstract "Intelligent machines, the cornerstone of Industry 4.0, possess various sensors for monitoring key processing and environmental parameters. These sensors demand additional power, while the machines often produce waste heat. Hence, we propose using a thermoelectric generator (TEG) to recover the waste heat and generate electricity to drive these sensors. A standard design for an atmospheric pressure plasma jet (APPJ) is demonstrated in this work. A so-driven multi-functional monitoring system monitors the processing temperature of the APPJ and air quality in the surroundings, transmits the data to cloud storage, and alarms if the temperature or air quality exceeds a preset value. We study three different arrangements of TEGs and find that double TEGs connected in series thermally and electrically generate the most power of 1.09 ± 0.0002 W at a current of 0.187 ± 0.002 A, which is sufficient to drive the monitoring system continuously. We also perform three-dimensional finite element transient thermal simulations to pre-assess the detailed temperature distribution for film-quality control and the potential for power generation. Our method can be readily applied to other machines with high waste heat for adding sensors/actuators without consuming extra power. • Making hot machines self-monitored without consuming extra power. • Atmospheric pressure plasma jet (APPJ) is used as a model system. • TEGs to convert waste heat of APPJ into electricity for the monitoring system. • A comprehensive experimental study on the design of TEG energy harvester. • 1.09 W and 0.187 A are generated and drive a monitoring system continuously." @default.
• W3205419692 created "2021-10-25" @default.
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• W3205419692 date "2022-01-01" @default.
• W3205419692 modified "2023-10-14" @default.
• W3205419692 title "New machine functions using waste heat recovery: A case study of atmospheric pressure plasma jet" @default.
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• W3205419692 doi "https://doi.org/10.1016/j.energy.2021.122372" @default.
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