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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Environmental Sources Sign in to save

Tire Wear and Pollutants: An Overview of Research

Archives of Advanced Engineering Science 2023 30 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Alfonse Ly, Zeinab El-Sayegh

Summary

This review provides an overview of tire road and wear particles as a major source of microplastic emissions, examining both experimental and mathematical approaches to measuring tire wear. The study notes that while tire wear particles are found in alarming amounts across various environments, they remain less studied than other microplastics, and calls for more accurate simulation models to predict tire wear emissions.

Polymers

Tire Road and Wear Particles are a major source of microplastic emissions. Tire and Road Wear Particles are important to study and understand as there are alarming amounts found in various environments. Currently, Tire and Road Wear Particles compared to other microplastics are not studied as rigorously in literature but are becoming a larger field of study due to their impact on emissions control. Tire Road and Wear Particles are commonly found as Styrene Butadiene Rubber Butadiene Rubber, and Natural Rubber To understand and quantify tire wear, experimental and mathematical models are developed to estimate tire wear. Tire wear can be measured experimentally using semi-empirical models, predetermined data, and sensor technologies. Tire wear is also measured mathematically using different modeling approaches and different friction models. This review discusses different and popular methodologies for estimating tire wear through experimental and simulated environments. Furthermore, discusses a review of the literature regarding tire wear emissions and its impact on the environment. Finally, it is evident that an accurate simulated tire wear model can be developed in the future alongside a driver model to predict tire wear emissions. Received: 6 July 2023 | Revised: 9 August 2023 | Accepted: 10 August 2023 Conflicts of Interest The authors declare that they have no conflicts of interest in this work.

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