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Sensing the Soot Load in Automotive Diesel Particulate Filters by Microwave Methods

Title data

Fischerauer, Gerhard ; Förster, Martin ; Moos, Ralf:
Sensing the Soot Load in Automotive Diesel Particulate Filters by Microwave Methods.
In: Measurement Science and Technology. Vol. 21 (2010) Issue 3 . - 035108.
ISSN 0957-0233
DOI: https://doi.org/10.1088/0957-0233/21/3/035108

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
No information
Mo 1060/6-1
No information
Fi 956/3-1

Project financing: Deutsche Forschungsgemeinschaft

Abstract in another language

Modern vehicles with diesel engines need to be equipped with particulate filters (DPFs) to meet today's and tomorrow's stringent emission regulations. Such filters must be regenerated on a regular basis to burn off the soot adsorbed in the course of time. As the regeneration processes consume fuel, they must be kept to the bare minimum which requires a detailed knowledge of the actual soot load in the filter. We have investigated if the soot load can be determined in situ by the cavity perturbation method at operating frequencies in the low GHz range. We will show that, indeed, current microwave technology as used, for instance, in cellular phones is capable of detecting the soot load in a diesel particulate filter. Experimentally observed sensitivities of cavity resonance frequencies to soot load (adsorbed mass) were as high as 3 MHz g−1. This contribution reports on the measurement approach, experimental results obtained in industrial dynamometer test benches and the conclusions to be drawn from the results.

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties
Faculties > Faculty of Engineering Science
Faculties > Faculty of Engineering Science > Chair Measurement and Control Technology
Faculties > Faculty of Engineering Science > Chair Measurement and Control Technology > Chair Measurement and Control Technology - Univ.-Prof. Dr.-Ing. Gerhard Fischerauer
Faculties > Faculty of Engineering Science > Chair Functional Materials
Faculties > Faculty of Engineering Science > Chair Functional Materials > Chair Functional Materials - Univ.-Prof. Dr.-Ing. Ralf Moos
Profile Fields
Profile Fields > Advanced Fields
Profile Fields > Advanced Fields > Advanced Materials
Research Institutions
Research Institutions > Research Centres
Research Institutions > Research Centres > Bayreuth Center for Material Science and Engineering - BayMAT
Research Institutions > Research Units
Research Institutions > Research Units > ZET - Zentrum für Energietechnik
Research Institutions > Research Units > BERC - Bayreuth Engine Research Center
Result of work at the UBT: Yes
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 21 Jan 2015 11:04
Last Modified: 28 Feb 2019 08:55
URI: https://eref.uni-bayreuth.de/id/eprint/5662