Passive scalar interface in a spatially evolving mixing layer (A. Attili and D. Denker)

Quartz nozzle sampling (D. Felsmann)

Dissipation element analysis of a planar diffusion flame (D. Denker)

Turbulent/non-turbulent interface in a temporally evolving jet (D. Denker)

Dissipation elements crossing a flame front (D. Denker and B. Hentschel)

Particle laden flow (E. Varea)

Turbulent flame surface in non-premixed methane jet flame (D. Denker)

DNS of primary break up (M. Bode)

Diffusion flame in a slot Bunsen burner (S. Kruse)

Various quantities in spatially evolving jet diffusion flame (D. Denker)

OH layer in a turbulent wall bounded flame (K. Niemietz)

Regelung der teilhomogenisierten Verbrennung im kompressionsgezündeten Motor

The most challenging part of the engine combustion development is the reduction of pollutants (e.g. CO-, THC-, NOX-, soot-, etc.) and CO2-emissions. Therefore new combustion techniques are required to enable a clean efficient combustion. For compression ignition engines two technologies are the focus of our work. The first is the so called rate shaping. With multipe injection events the energy conversion inside the combustion chamber can be manipulted in order the influence the efficiency and the emission formation for the high temperature combustion (HTC) close to top dead center (TDC). The other concept is the low temperature combustion (LTC). Early injection events are used together with high amounts of exhaust gas recirculation (EGR) in order to extend the ignition delay. This enables a partly partly premixed compression ignition (PCCI) which is controlled by a later main injection. Both technologies have different benefits and disadvantages.

Our work will focus on developing a combustion and controller modells to combine both technologies to take the highest benefit from both processes. Figure 1 shows a scheme of the combustion controller. The low temperature combustion and the pressure trace of the high temperature combustion will be predifined. By manipulting the injection events the modell predict the combustion and apply this to the engine test bench. In-cylinder pressure sensors are used in order to focus the control of the HTC. An additonional sensor will be mounted inside the combustion chamber in order to analyze the LTC enabled with PCCI.

The project is part of the research group FOR2401 which focus on "Optimization-based multi-scale control of low-temperature engine combustion processes" sponsored by the DFG (Deutsche Forschungsgemeinschaft).

Reglerstruktur


Publikationen

  • W. Pan, M. Korkmaz, J. Beeckmann and H. Pitsch. Nonlinear Identification Modeling for PCCI Engine Emissions Prediction Using Unsupervised Learning and Neural NetworksSAE Technical Paper, vol. 2020-01-0558, 2020. [DOI]
  • M. Korkmaz, J. Beeckmann and H. Pitsch. Experimental investigation of the impact of advanced injection strategies on a LTC concept for a single cylinder CI engine. In Proceedings of the 9th European Combustion Meeting, April 14-17, Lisbon, Portugal, 2019.
  • W. Pan, M. Korkmaz, J. Beeckmann and H. Pitsch. Unsupervised learning and nonlinear identification for in-cylinder pressure prediction of diesel combustion rate shaping process. In 13th IFAC Workshop on Adaptive and Learning Control Systems - ALCOS 2019, December 4th-6th, Winchester, United Kingdom, 2019.
  • A. Deshmukh, M. Korkmaz, M. Davidovic, D. Goeb, C. Giefer, M. Bode, L. Cai and H. Pitsch. Towards an Integral Combustion Model for Model-based Control of PCCI EnginesSAE Technical Paper, vol. 24 no. 0001, 2019.
  • W. Pan, M. Korkmaz, J. Beeckmann, T. Falkenstein and H. Pitsch. A data-based model for diesel combustion control using ANN coupled with PCA. In Symposium for Combustion Control, June 5th-6th, Aachen, Germany, 2019.
  • Metin Korkmaz, Raghavan Lakshmanan, Tobias Falkenstein, Joachim Beeckmann and Heinz Pitsch. Experimental and Numerical Investigation of the Maximum Pressure Rise Rate for an LTC Concept in a Single Cylinder CI EngineSAE Technical Paper, vol. 24 no. 0023, 2019. [DOI]
  • D. Ritter, D. Abel, M. Korkmaz, H. Pitsch, S. Hänggi and T. Albin. Optimierungsbasierte Verbrennungsratenregelung für Dieselmotoren mittels Mehrfacheinspritzung. In 29. Deutscher Flammentag, 17.-18. September, Bochum, 2019.
  • D. Ritter, M. Korkmaz, H. Pitsch, D. Abel and T. Albin. Optimization-based fuel injection rate digitalization for combustion rate shaping. In American Control Conference, July 10th-12th, Philadelphia, PA, USA, 2019.
  • M. Korkmaz, R. Lakshmanan, J. Beeckmann and H. Pitsch. Development of an advanced injection strategy for LTC in a single cylinder CI engine. In 29. Deutscher Flammentag, September 17th-18th, Bochum, Germany, 2019.
  • M. Korkmaz, D. Golc, D. Ritter, B. Jochim, J. Beeckmann, D. Abel and H. Pitsch. Development of a Fully Flexible Injection Strategy for Model-Based Combustion Control of PCCI Diesel Engine. In Symposium for Combustion Control, June 27th-28th, Aachen, Germany, 2018.