Abstract
Nowadays, the interest in the effect of exhaust emissions from road vehicles on public health is stronger than ever. Great attention is paid to particulate matter (PM ) both for its impact on the environment and for the adverse effect on human health. The internal combustion engines (ICEs) are a major source of PM emissions in the urban area. Particles are usually classified according to their diameter in coarse particles, diameter larger than 10 μm (PM10), fine particles, diameter smaller than 2.5 μm (PM2.5). The present chapter will firstly describe the characteristics of engine emitted partices and some of the mechanisms involved in their formation process. Then, it will be introduced a soft computing model, developed by the authors, devoted to the real-time prediction of particle size distribution at the exhaust of internal combustion engines on the basis of some specific inputs, such as engine speed, engine load, and amount of exhaust recirculated gases.
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Taglialatela Scafati, F., Lavorgna, M., Mancaruso, E., Vaglieco, B. (2018). Modeling of Particle Size Distribution at the Exhaust of Internal Combustion Engines. In: Nonlinear Systems and Circuits in Internal Combustion Engines. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-319-67140-6_3
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DOI: https://doi.org/10.1007/978-3-319-67140-6_3
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