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

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dc.contributor.authorMaurya, Deepamen
dc.contributor.authorKhaleghian, Seyedmeysamen
dc.contributor.authorSriramdas, Rammohanen
dc.contributor.authorKumar, Prashanten
dc.contributor.authorKishore, Ravi Ananten
dc.contributor.authorKang, Min-Gyuen
dc.contributor.authorKumar, Vireshwaren
dc.contributor.authorSong, Hyun-Cheolen
dc.contributor.authorLee, Seul-Yien
dc.contributor.authorYan, Yongkeen
dc.contributor.authorPark, Jung-Min (Jerry)en
dc.contributor.authorTaheri, Saieden
dc.contributor.authorPriya, Shashanken
dc.contributor.departmentMechanical Engineeringen
dc.contributor.departmentMaterials Science and Engineeringen
dc.contributor.departmentElectrical and Computer Engineeringen
dc.contributor.departmentInstitute for Critical Technology and Applied Scienceen
dc.contributor.departmentCenter for Tire Researchen
dc.date.accessioned2021-01-28T14:22:33Zen
dc.date.available2021-01-28T14:22:33Zen
dc.date.issued2020-10-26en
dc.description.abstractThe 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. Designing efficient sensors for smart tires for autonomous vehicles remains a challenge. Here, the authors present a 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.en
dc.description.notesD.M. and S.P. gratefully acknowledge financial support from National Science Foundation through I/UCRC: Center for Energy-Harvesting Materials and Systems (CEHMS). P.K. acknowledges the financial support through Office of Naval Research through grant number N000141712520. Y.Y. acknowledges the financial support through the National Science Foundation through grant number ECCS-1832865. M.G.K. acknowledges the support through the Air Force Office of Scientific Research under award number FA9550-17-1-0341. R.S. acknowledges the support through Office of Naval Research through grant number N000141613043. H.C.S. acknowledges support through the NSF-CREST grant number HRD-1547771, the Energy Technology Development Project (KETEP) grant funded by the Ministry of Trade, Industry and Energy, Republic of Korea (2018201010636A), and the National Research Council of Science & Technology (NST) grant by the Korea government (MSIP) (No. CAP-17-04-KRISS). R.A.K. acknowledges the financial support through DARPA MATRIX program.en
dc.description.sponsorshipNational Science Foundation through I/UCRC: Center for Energy-Harvesting Materials and Systems (CEHMS); Office of Naval ResearchOffice of Naval Research [N000141712520, N000141613043]; National Science FoundationNational Science Foundation (NSF) [ECCS-1832865]; Air Force Office of Scientific ResearchUnited States Department of DefenseAir Force Office of Scientific Research (AFOSR) [FA9550-17-1-0341]; NSF-CREST grant [HRD-1547771]; Energy Technology Development Project (KETEP) - Ministry of Trade, Industry and Energy, Republic of Korea [2018201010636A]; National Research Council of Science & Technology (NST) grant by the Korea government (MSIP) [CAP-17-04-KRISS]; DARPA MATRIX programen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1038/s41467-020-19088-yen
dc.identifier.issn2041-1723en
dc.identifier.issue1en
dc.identifier.other5392en
dc.identifier.pmid33106481en
dc.identifier.urihttp://hdl.handle.net/10919/102115en
dc.identifier.volume11en
dc.language.isoenen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.title3D printed graphene-based self-powered strain sensors for smart tires in autonomous vehiclesen
dc.title.serialNature Communicationsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

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Scholarly Works, Center for Tire Research (CenTiRe)
Destination Area: Intelligent Infrastructure for Human-Centered Communities (IIHCC)
Scholarly Works, Electrical and Computer Engineering
Scholarly Works, Institute for Critical Technology and Applied Science (ICTAS)
Scholarly Works, Materials Science and Engineering (MSE)