Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Carl-Philipp Ding is active.

Publication


Featured researches published by Carl-Philipp Ding.


Measurement Science and Technology | 2013

Two-dimensional surface temperature diagnostics in a full-metal engine using thermographic phosphors

N. Fuhrmann; M. Schneider; Carl-Philipp Ding; J. Brübach; A. Dreizler

An optical system consisting of a rigid borescope was developed to measure surface temperatures inside full-metal internal combustion engines. The measurement principle is predicated on lifetime-based phosphor thermometry of the material Gd3Ga5O12: Cr. The system is designed to resolve the luminescence decay of thermographic phosphors temporally and two-dimensionally by the use of a CMOS high-speed camera. The device allows the visualization of the temperature distribution in an area of 9 mm in diameter. An application of this optical system inside an internal combustion engine is demonstrated, yielding temperature maps under fired and motored conditions in a full-metal engine for the first time.


Combustion Theory and Modelling | 2017

Evaluation of the flame propagation within an SI engine using flame imaging and LES

Chao He; G. Kuenne; Esra Yildar; Jeroen A. van Oijen; Francesca di Mare; A. Sadiki; Carl-Philipp Ding; Elias Baum; Brian Peterson; Benjamin Böhm; J. Janicka

This work shows experiments and simulations of the fired operation of a spark ignition engine with port-fuelled injection. The test rig considered is an optically accessible single cylinder engine specifically designed at TU Darmstadt for the detailed investigation of in-cylinder processes and model validation. The engine was operated under lean conditions using iso-octane as a substitute for gasoline. Experiments have been conducted to provide a sound database of the combustion process. A planar flame imaging technique has been applied within the swirl- and tumble-planes to provide statistical information on the combustion process to complement a pressure-based comparison between simulation and experiments. This data is then analysed and used to assess the large eddy simulation performed within this work. For the simulation, the engine code KIVA has been extended by the dynamically thickened flame model combined with chemistry reduction by means of pressure dependent tabulation. Sixty cycles have been simulated to perform a statistical evaluation. Based on a detailed comparison with the experimental data, a systematic study has been conducted to obtain insight into the most crucial modelling uncertainties.


Proceedings of the Combustion Institute | 2018

Flame/flow dynamics at the piston surface of an IC engine measured by high-speed PLIF and PTV

Carl-Philipp Ding; Brian Peterson; M. Schmidt; A. Dreizler; Benjamin Böhm

Resolving fluid transport at engine surfaces is required to predict transient heat loss, which is becoming increasingly important for the development of high-efficiency internal combustion engines (ICE). The limited number of available investigations have focused on non-reacting flows near engine surfaces, while this work focuses on the near-wall flow field dynamics in response to a propagating flame front. Flow-field and flame distributions were measured simultaneously at kHz repetition rates using particle tracking velocimetry (PTV) and planar laser induced fluorescence (PLIF) of sulfur dioxide (SO2). Measurements were performed near the piston surface of an optically accessible engine operating at 800 rpm with homogeneous, stoichiometric isooctane-air mixtures. High-speed measurements reveal a strong interdependency between near-wall flow and flame development which also influences subsequent combustion. A conditional analysis is performed to analyze flame/flow dynamics at the piston surface for cycles with weak and strong flow velocities parallel to the surface. Faster flame propagation associated with higher velocities before ignition demonstrates a stronger flow acceleration ahead of the flame. Flow acceleration associated with an advancing flame front is a transient feature that strongly influences boundary layer development. The distance from the wall to 75% maximum velocity ({\delta}75) is analyzed to compare boundary layer development between fired and motored datasets. Decreases in {\delta}75 are strongly related to flow acceleration produced by an approaching flame front. Measurements reveal strong deviations of the boundary layer flow between fired and motored datasets, emphasizing the need to consider transient flow behavior when modelling boundary layer physics for reacting flows.


Applied Physics B | 2014

Cylinder head temperature determination using high-speed phosphor thermometry in a fired internal combustion engine

N. Fuhrmann; Christian Litterscheid; Carl-Philipp Ding; J. Brübach; Barbara Albert; A. Dreizler


Flow Turbulence and Combustion | 2018

In-Cylinder Temperature Measurements in a Motored IC Engine using TDLAS

Sebastian Bürkle; Luigi Biondo; Carl-Philipp Ding; Rene Honza; Volker Ebert; Benjamin Böhm; Steven Wagner


Applied Physics B | 2017

Flame imaging using planar laser induced fluorescence of sulfur dioxide

Rene Honza; Carl-Philipp Ding; A. Dreizler; Benjamin Böhm


Applied Physics B | 2017

Simultaneous measurement of flame impingement and piston surface temperatures in an optically accessible spark ignition engine

Carl-Philipp Ding; Rene Honza; Benjamin Böhm; A. Dreizler


Proceedings of the Combustion Institute | 2018

In situ sensor for cycle-resolved measurement of temperature and mole fractions in IC engine exhaust gases

Oliver Diemel; Rene Honza; Carl-Philipp Ding; Benjamin Böhm; Steven Wagner


International Journal of Heat and Fluid Flow | 2018

Experimental characterization of the velocity boundary layer in a motored IC engine

A. Renaud; Carl-Philipp Ding; Suad Jakirlić; A. Dreizler; Benjamin Böhm


Archive | 2016

Evaluation of spray-induced turbulence during the induction stroke of a four-stroke single-cylinder optical engine

Brian Peterson; Elias Baum; Carl-Philipp Ding; Dirk Michaelis; A. Dreizler; Benjamin Böhm

Collaboration


Dive into the Carl-Philipp Ding's collaboration.

Top Co-Authors

Avatar

Benjamin Böhm

Technische Universität Darmstadt

View shared research outputs
Top Co-Authors

Avatar

A. Dreizler

Technische Universität Darmstadt

View shared research outputs
Top Co-Authors

Avatar

Brian Peterson

Technische Universität Darmstadt

View shared research outputs
Top Co-Authors

Avatar

Rene Honza

Technische Universität Darmstadt

View shared research outputs
Top Co-Authors

Avatar

Elias Baum

Technische Universität Darmstadt

View shared research outputs
Top Co-Authors

Avatar

A. Sadiki

Technische Universität Darmstadt

View shared research outputs
Top Co-Authors

Avatar

Francesca di Mare

Technische Universität Darmstadt

View shared research outputs
Top Co-Authors

Avatar

G. Kuenne

Technische Universität Darmstadt

View shared research outputs
Top Co-Authors

Avatar

J. Brübach

Technische Universität Darmstadt

View shared research outputs
Top Co-Authors

Avatar

J. Janicka

Technische Universität Darmstadt

View shared research outputs
Researchain Logo
Decentralizing Knowledge