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3D printed graphene-based self-powered strain sensors for smart tires in autonomous vehicles

The transition of autonomous vehicles into fleets requires an advanced control system design that relies on continuous feedback from the tires. Smart tires enable continuous monitoring of dynamic parameters by combining strain sensing with traditional tire functions. Here, we provide breakthrough in...

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Autores principales: Maurya, Deepam, Khaleghian, Seyedmeysam, Sriramdas, Rammohan, Kumar, Prashant, Kishore, Ravi Anant, Kang, Min Gyu, Kumar, Vireshwar, Song, Hyun-Cheol, Lee, Seul-Yi, Yan, Yongke, Park, Jung-Min, Taheri, Saied, Priya, Shashank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7588488/
https://www.ncbi.nlm.nih.gov/pubmed/33106481
http://dx.doi.org/10.1038/s41467-020-19088-y
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author Maurya, Deepam
Khaleghian, Seyedmeysam
Sriramdas, Rammohan
Kumar, Prashant
Kishore, Ravi Anant
Kang, Min Gyu
Kumar, Vireshwar
Song, Hyun-Cheol
Lee, Seul-Yi
Yan, Yongke
Park, Jung-Min
Taheri, Saied
Priya, Shashank
author_facet Maurya, Deepam
Khaleghian, Seyedmeysam
Sriramdas, Rammohan
Kumar, Prashant
Kishore, Ravi Anant
Kang, Min Gyu
Kumar, Vireshwar
Song, Hyun-Cheol
Lee, Seul-Yi
Yan, Yongke
Park, Jung-Min
Taheri, Saied
Priya, Shashank
author_sort Maurya, Deepam
collection PubMed
description The transition of autonomous vehicles into fleets requires an advanced control system design that relies on continuous feedback from the tires. Smart tires enable continuous monitoring of dynamic parameters by combining strain sensing with traditional tire functions. Here, we provide breakthrough in this direction by demonstrating tire-integrated system that combines direct mask-less 3D printed strain gauges, flexible piezoelectric energy harvester for powering the sensors and secure wireless data transfer electronics, and machine learning for predictive data analysis. Ink of graphene based material was designed to directly print strain sensor for measuring tire-road interactions under varying driving speeds, normal load, and tire pressure. A secure wireless data transfer hardware powered by a piezoelectric patch is implemented to demonstrate self-powered sensing and wireless communication capability. Combined, this study significantly advances the design and fabrication of cost-effective smart tires by demonstrating practical self-powered wireless strain sensing capability.
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spelling pubmed-75884882020-11-10 3D printed graphene-based self-powered strain sensors for smart tires in autonomous vehicles Maurya, Deepam Khaleghian, Seyedmeysam Sriramdas, Rammohan Kumar, Prashant Kishore, Ravi Anant Kang, Min Gyu Kumar, Vireshwar Song, Hyun-Cheol Lee, Seul-Yi Yan, Yongke Park, Jung-Min Taheri, Saied Priya, Shashank Nat Commun Article The transition of autonomous vehicles into fleets requires an advanced control system design that relies on continuous feedback from the tires. Smart tires enable continuous monitoring of dynamic parameters by combining strain sensing with traditional tire functions. Here, we provide breakthrough in this direction by demonstrating tire-integrated system that combines direct mask-less 3D printed strain gauges, flexible piezoelectric energy harvester for powering the sensors and secure wireless data transfer electronics, and machine learning for predictive data analysis. Ink of graphene based material was designed to directly print strain sensor for measuring tire-road interactions under varying driving speeds, normal load, and tire pressure. A secure wireless data transfer hardware powered by a piezoelectric patch is implemented to demonstrate self-powered sensing and wireless communication capability. Combined, this study significantly advances the design and fabrication of cost-effective smart tires by demonstrating practical self-powered wireless strain sensing capability. Nature Publishing Group UK 2020-10-26 /pmc/articles/PMC7588488/ /pubmed/33106481 http://dx.doi.org/10.1038/s41467-020-19088-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Maurya, Deepam
Khaleghian, Seyedmeysam
Sriramdas, Rammohan
Kumar, Prashant
Kishore, Ravi Anant
Kang, Min Gyu
Kumar, Vireshwar
Song, Hyun-Cheol
Lee, Seul-Yi
Yan, Yongke
Park, Jung-Min
Taheri, Saied
Priya, Shashank
3D printed graphene-based self-powered strain sensors for smart tires in autonomous vehicles
title 3D printed graphene-based self-powered strain sensors for smart tires in autonomous vehicles
title_full 3D printed graphene-based self-powered strain sensors for smart tires in autonomous vehicles
title_fullStr 3D printed graphene-based self-powered strain sensors for smart tires in autonomous vehicles
title_full_unstemmed 3D printed graphene-based self-powered strain sensors for smart tires in autonomous vehicles
title_short 3D printed graphene-based self-powered strain sensors for smart tires in autonomous vehicles
title_sort 3d printed graphene-based self-powered strain sensors for smart tires in autonomous vehicles
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7588488/
https://www.ncbi.nlm.nih.gov/pubmed/33106481
http://dx.doi.org/10.1038/s41467-020-19088-y
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