T. Feißel, M. Kunze, D. Hesse, V. Ivanov, K. Augsburg, S. Gramstat
{"title":"On-Road Vehicle Measurement of Tire Wear Particle Emissions and Approach for Emission Prediction","authors":"T. Feißel, M. Kunze, D. Hesse, V. Ivanov, K. Augsburg, S. Gramstat","doi":"10.2346/tire.22.21024","DOIUrl":null,"url":null,"abstract":"\n Airborne particulate matter has long been associated with negative environmental and health impacts. Tire wear, in the form of particulate matter and microplastics, also poses a potential hazard to human health and the ecosystem. In order to develop measures minimizing tire related pollution, it is necessary to identify and classify all relevant influencing parameters. Within the scope of this study, a measurement vehicle is presented enabling sampling and measurement of tire-induced particles under varying operating conditions. The measurement setup ensures the separation of brake and tire wear and includes particle measurement devices as well as numerous vehicle motion sensors. Based on on-road tests, correlations between driving dynamic parameters and particle emission were analyzed. Furthermore, a first approach for tire-induced particle emission prediction is presented.","PeriodicalId":44601,"journal":{"name":"Tire Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2022-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tire Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2346/tire.22.21024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 2
Abstract
Airborne particulate matter has long been associated with negative environmental and health impacts. Tire wear, in the form of particulate matter and microplastics, also poses a potential hazard to human health and the ecosystem. In order to develop measures minimizing tire related pollution, it is necessary to identify and classify all relevant influencing parameters. Within the scope of this study, a measurement vehicle is presented enabling sampling and measurement of tire-induced particles under varying operating conditions. The measurement setup ensures the separation of brake and tire wear and includes particle measurement devices as well as numerous vehicle motion sensors. Based on on-road tests, correlations between driving dynamic parameters and particle emission were analyzed. Furthermore, a first approach for tire-induced particle emission prediction is presented.
期刊介绍：
Tire Science and Technology is the world"s leading technical journal dedicated to tires. The Editor publishes original contributions that address the development and application of experimental, analytical, or computational science in which the tire figures prominently. Review papers may also be published. The journal aims to assure its readers authoritative, critically reviewed articles and the authors accessibility of their work in the permanent literature. The journal is published quarterly by the Tire Society, Inc., an Ohio not-for-profit corporation whose objective is to increase and disseminate knowledge of the science and technology of tires.
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