Cargando…
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...
Autores principales: | , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783600380632891392 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7588488 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT mauryadeepam 3dprintedgraphenebasedselfpoweredstrainsensorsforsmarttiresinautonomousvehicles AT khaleghianseyedmeysam 3dprintedgraphenebasedselfpoweredstrainsensorsforsmarttiresinautonomousvehicles AT sriramdasrammohan 3dprintedgraphenebasedselfpoweredstrainsensorsforsmarttiresinautonomousvehicles AT kumarprashant 3dprintedgraphenebasedselfpoweredstrainsensorsforsmarttiresinautonomousvehicles AT kishoreravianant 3dprintedgraphenebasedselfpoweredstrainsensorsforsmarttiresinautonomousvehicles AT kangmingyu 3dprintedgraphenebasedselfpoweredstrainsensorsforsmarttiresinautonomousvehicles AT kumarvireshwar 3dprintedgraphenebasedselfpoweredstrainsensorsforsmarttiresinautonomousvehicles AT songhyuncheol 3dprintedgraphenebasedselfpoweredstrainsensorsforsmarttiresinautonomousvehicles AT leeseulyi 3dprintedgraphenebasedselfpoweredstrainsensorsforsmarttiresinautonomousvehicles AT yanyongke 3dprintedgraphenebasedselfpoweredstrainsensorsforsmarttiresinautonomousvehicles AT parkjungmin 3dprintedgraphenebasedselfpoweredstrainsensorsforsmarttiresinautonomousvehicles AT taherisaied 3dprintedgraphenebasedselfpoweredstrainsensorsforsmarttiresinautonomousvehicles AT priyashashank 3dprintedgraphenebasedselfpoweredstrainsensorsforsmarttiresinautonomousvehicles |