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OPTYRE—Real Time Estimation of Rolling Resistance for Intelligent Tyres
The study of the rolling tyre is a problem framed in the general context of nonlinear elasticity. The dynamics of the related phenomena is still an open topic, even though few examples and models of tyres can be found in the technical literature. The interest in the dissipation effects associated wi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929126/ https://www.ncbi.nlm.nih.gov/pubmed/31766764 http://dx.doi.org/10.3390/s19235119 |
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author | Roveri, Nicola Pepe, Gianluca Mezzani, Federica Carcaterra, Antonio Culla, Antonio Milana, Silvia |
author_facet | Roveri, Nicola Pepe, Gianluca Mezzani, Federica Carcaterra, Antonio Culla, Antonio Milana, Silvia |
author_sort | Roveri, Nicola |
collection | PubMed |
description | The study of the rolling tyre is a problem framed in the general context of nonlinear elasticity. The dynamics of the related phenomena is still an open topic, even though few examples and models of tyres can be found in the technical literature. The interest in the dissipation effects associated with the rolling motion is justified by their importance in fuel-saving and in the context of an eco-friendly design. However, a general lack of knowledge characterizes the phenomenon, since not even direct experience on the rolling tyre can reveal the insights of the correlated different dissipation effects, as the friction between the rubber and the road, the contact kinematics and dynamics, the tyre hysteretic behaviour and the grip. A new technology, based on fibre Bragg grating strain sensors and conceived within the OPTYRE project, is illustrated for the specific investigation of the tyre dissipation related phenomena. The remarkable power of this wireless optical system stands in the chance of directly accessing the behaviour of the inner tyre in terms of stresses when a real-condition-rolling is experimentally observed. The ad hoc developed tyre model has allowed the identification of the instant grip conditions, of the area of the contact patch and allows the estimation of the instant dissipated power, which is the focus of this paper. |
format | Online Article Text |
id | pubmed-6929126 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-69291262019-12-26 OPTYRE—Real Time Estimation of Rolling Resistance for Intelligent Tyres Roveri, Nicola Pepe, Gianluca Mezzani, Federica Carcaterra, Antonio Culla, Antonio Milana, Silvia Sensors (Basel) Article The study of the rolling tyre is a problem framed in the general context of nonlinear elasticity. The dynamics of the related phenomena is still an open topic, even though few examples and models of tyres can be found in the technical literature. The interest in the dissipation effects associated with the rolling motion is justified by their importance in fuel-saving and in the context of an eco-friendly design. However, a general lack of knowledge characterizes the phenomenon, since not even direct experience on the rolling tyre can reveal the insights of the correlated different dissipation effects, as the friction between the rubber and the road, the contact kinematics and dynamics, the tyre hysteretic behaviour and the grip. A new technology, based on fibre Bragg grating strain sensors and conceived within the OPTYRE project, is illustrated for the specific investigation of the tyre dissipation related phenomena. The remarkable power of this wireless optical system stands in the chance of directly accessing the behaviour of the inner tyre in terms of stresses when a real-condition-rolling is experimentally observed. The ad hoc developed tyre model has allowed the identification of the instant grip conditions, of the area of the contact patch and allows the estimation of the instant dissipated power, which is the focus of this paper. MDPI 2019-11-22 /pmc/articles/PMC6929126/ /pubmed/31766764 http://dx.doi.org/10.3390/s19235119 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Roveri, Nicola Pepe, Gianluca Mezzani, Federica Carcaterra, Antonio Culla, Antonio Milana, Silvia OPTYRE—Real Time Estimation of Rolling Resistance for Intelligent Tyres |
title | OPTYRE—Real Time Estimation of Rolling Resistance for Intelligent Tyres |
title_full | OPTYRE—Real Time Estimation of Rolling Resistance for Intelligent Tyres |
title_fullStr | OPTYRE—Real Time Estimation of Rolling Resistance for Intelligent Tyres |
title_full_unstemmed | OPTYRE—Real Time Estimation of Rolling Resistance for Intelligent Tyres |
title_short | OPTYRE—Real Time Estimation of Rolling Resistance for Intelligent Tyres |
title_sort | optyre—real time estimation of rolling resistance for intelligent tyres |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929126/ https://www.ncbi.nlm.nih.gov/pubmed/31766764 http://dx.doi.org/10.3390/s19235119 |
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