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)

Development of Advanced Combustion Strategies for CI Engines

The compression ignition (CI) engine is widely used in heavy-duty as well as light-duty applications due to its high efficiency caused by high compression ratio, short combustion duration, and unthrottled air operation. In conventional CI combustion, high-reactivity fuels are injected close to top dead center (TDC) initiating mixing-controlled combustion. This diffusive combustion can lead to high emissions of nitric oxides (NOx) and particulate matter (PM), due to high-temperature, slightly lean regions, and very rich areas, respectively. NOx and PM have negative impact on the environment and can cause human respiratory diseases. Therefore, research efforts have focused on minimization of engine-out emissions as well as operation costs, maximization of overall engine efficiency, and reduction of dependency on exhaust after-treatment devices. In order to achieve these goals,advanced combustion strategies with in-cylinder NOx and soot reduction methods are required .

One approach to counteract the drawbacks of CI engines is the low-temperature combustion (LTC) concept, which has been proposed by many researchers. The LTC concept has the potential to simultaneously reduce nitric oxides as well as soot, because of lower peak temperatures and increased homogeneity. However, an increase in total unburnt hydrocarbons (THC) and carbon monoxide (CO) is often observed. Applied to a CI engine, this concept is frequently called premixed charge compression ignition (PCCI). It is characterized by relatively early injection timings and high external exhaust gas recirculation (EGR). Unfortunately, this strategy also tends to cause very early combustion phasing (CA50), resulting in high noise and lower engine efficiency. To resolve these issues, further investigations are required. The objective of this study is to investigate and evaluate the impact of different injection strategies (injection timing, injection duration, and amount of injections) on performance parameters. Moreover multiply injections are used in order to control the combustion process directly with modern rapid control prototyping (RCP) methods. Therefore an advanced hardware is required. The engine is controlled by an open ECU (VERA) by VEMAC. This ECU is by-passed by and advanced prototyping ECU the Microautobox (MABX) by dSPACE. Analyse of the causal chain between injection and combustion as well as the chain between combustion and emission are main goals of the actual investigations. For analyzing this connection 0d-Models and artificial neural networks (ANN) can be used.

Table 1: Causal Chain Injection <=> Combustion and Combustion <=> Performance.

The experiments were carried out on a modified single-cylinder research engine. It has an overall displacement of 0.390 l, with bore and stroke of 75.0 mm and 88.3 mm, respectively. A high-pressure, common-rail fuel injection system (electronically controlled) with maximum injection pressure of 2000 bar is used for the diesel injection. A centrally located piezo injector (CRI3.20) with eight equally spaced orifices with nominal diameter of 0.115 mm is utilized. An overview of engine and injector specifications is given in Table 1.

Publications

  • 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.

Other engine test benches

DF-CI-Engine

SI-Engine