Exhaust gas sensor for IC engines
A new European Union (EU) regulation on the control of CO2 emissions requires reducing the average emissions of new cars below 95 g/km by 2021. The use of compressed natural gas (CNG) as fuel allows significant reduction of the CO2 emissions and thus achieves the goal set by the EU.
The development of efficient and low-emission CNG-engines is a new challenge since the physical properties of CNG differ significantly from those of conventional liquid gasoline. This directly influences the mixture formation and the combustion process. Therefore, the time-resolved (100 μs) acquisition of data on the gas density of each substance (methane, water and carbon dioxide) involved in a motorcycle of a typical four-stroke engine is urgently required.
The department Photonic Sensor Technology established a collaboration with the Institute for Com-bustion and Gasdynamics Duisburg and the companies LaVision GmbH and Volkswagen AG on the solution to this problem in the OMeGa-E project ending in mid-2017.
During former projects, a spark-plug sensor based on IR-absorption to measure mixture formation in the combustion chamber of an engine was developed together with LaVision. This sensor was further developed in the OMeGa-E project for use with CNG air mixtures.
The results on a test engine at Volkswagen and a rapid compression machine at University Erlangen showed the functionality of the developed ICOS system. Based on this successful development, a commercial sensor is produced and sold by LaVision, with which CNG engines can be optimized and hence be manufactured more environmentally friendly.
P. Kranz, D. Fuhrmann, M. Goschütz, S. Kaiser, S. Bauke, K. Golibrzuch, H. Wackerbarth, P. Kawelke, J. Luciani, L. Beckmann, J. Zachow, M. Schuette, O. Thiele, T, Berg::
In-cylinder LIF imaging, IR-absorption point measurements, and a CFD simulation to evaluate mixture formation in a CNG-fueled engine, SAE Technical Paper 2018, 2018-01-0633, 2018.
S. Bauke, K. Golibrzuch, H. Wackerbarth, P., Fendt, L. Zigan, S. Seefeldt, O. Thiele, T. Berg:
Optical sensor system for time-resolved quantification of methane concentrations: validation measurements in a rapid compression machine, Journal of Quantitative Spectroscopy & Radiative Transfer, 210, 101-110, 2018.
K. Golibrzuch, F.-E. Digulla, S. Bauke, H. Wackerbarth, O. Thiele, T. Berg:
Optical sensor system for time resolved quantification of methane densities in CH4-fueled spark ignition engines, Applied Optics, 56 (22), 6049-6058, 2017.
S. Bauke, K. Golibrzuch, F. Rotter, H. Wackerbarth, O. Thiele, T. Berg:
Quantitative, time-resolved detection of CH4 concentrations in flows for injection analysis in CNG engines using IR absorption, Journal of Sensors and Sensor Systems, 6(1), 185-198, 2017.
A. Grosch, H. Wackerbarth, O. Thiele, T. Berg, L. Beckmann:
Infrared spectroscopic concentration measurements of carbon dioxide and gaseous water in harsh environments with a fiber optical sensor by using the HITEMP database, Journal of Quantitative Spectroscopy & Radiative Transfer, 133, 106-116, 2014.
A. Grosch, V., Beushausen, H. Wackerbarth, O. Thiele, T. Berg, R. Grzeszik:
Calibration of mid-infrared transmission measurements for hydrocarbon detection and propane concentration measurements in harsh environments by using a fiber optical sensor, Journal of Quantitative Spectroscopy & Radiative Transfer, 112 (6), 994-1004, 2011.
Only words with 2 or more characters are accepted
Max 200 chars total
Space is used to split words, "" can be used to search for a whole string (not indexed search then)
AND, OR and NOT are prefix words, overruling the default operator
+/|/- equals AND, OR and NOT as operators.
All search words are converted to lowercase.
Laser-Laboratorium Göttingen e.V. (LLG)
Head of Department
Dr. Hainer Wackerbarth
"Photonic Sensor Technologies"