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Particle Number Reduction in Automotive Exhausts Using Acoustic Metamaterials
KTH, School of Engineering Sciences (SCI).
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering.ORCID iD: 0000-0001-7898-8643
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering.ORCID iD: 0000-0002-8474-8563
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering.
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2017 (English)In: SAE International Journal of Engines, ISSN 1946-3936, E-ISSN 1946-3944, Vol. 10, no 4, 1566-1572 p.Article in journal (Refereed) Published
Abstract [en]

Air pollution caused by exhaust particulate matter (PM) from vehicular traffic is a major health issue. Increasingly strict regulations of vehicle emission have been introduced and efforts have been put on both the suppression of particulate formation inside the engine cylinders and the development of after-treatment technologies such as filters. With modern direct injected engines that produce a large number of really small sub-micron particles, the focus has increased even further and now also includes a number count.The problem of calculating particle trajectories in flow ducts like vehicle exhaust systems is challenging but important to further improve the technology. The interaction between particles and oscillating flows may lead to the formation of particle groups (regions where the particle concentration is increased), yielding a possibility of realizing particle agglomeration. The oscillating flow may simply be hydrodynamic or as assumed here: the flow oscillations are created by sound propagation rather than hydrodynamic approaches. An analysis is presented which gives the relationship between the speed of sound, the mean flow velocity and the amplitude of the acoustic particle velocity for particle agglomeration to be feasible. It is shown that it can be achieved if the convective speed of sound is reduced to the same order as the mean flow velocity. It is therefore suggested to use the so-called acoustic metamaterials, which can help control, direct and manipulate sound waves. At this stage a phenomenological 1D model is used for the analysis, which allows the authors to build an understanding of the effect of the sound waves and flow oscillations on particle motion and paves the way for further analysis on particle agglomeration.

Place, publisher, year, edition, pages
SAE International , 2017. Vol. 10, no 4, 1566-1572 p.
National Category
Fluid Mechanics and Acoustics
Identifiers
URN: urn:nbn:se:kth:diva-216542DOI: 10.4271/2017-01-0909ISI: 000416807900016Scopus ID: 2-s2.0-85018319516OAI: oai:DiVA.org:kth-216542DiVA: diva2:1160206
Note

QC 20171124

Available from: 2017-11-24 Created: 2017-11-24 Last updated: 2018-01-03Bibliographically approved

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Åbom, MatsBodén, HansKarlsson, Mikael

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Zhang, ZheÅbom, MatsBodén, HansKarlsson, Mikael
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School of Engineering Sciences (SCI)Aeronautical and Vehicle Engineering
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