The TCC-III Collection

This Collection is a compilation of data measured in the TCC engine at the University of Michigan, Department of Mechanical Engineering, Quantitative Laser Diagnostics Laboratory. The posted Work Deposits are never changed. However, this collection will be expanded with additional Work Deposits as new experimental data become available. The intent of the collection is to provide a comprehensive experimental data set from the TCC-III engine, for fundamental discovery research on in-cylinder flow and spark-ignited combustion. Also, to enable in-depth support for CFD development and validation. The collection includes data files of in-cylinder flow velocity and flame imaging, as well as engine and system geometry needed to set up 1-D and CFD simulations.

TCCIII Collection

Individual data sets:

TCCIII Motored Full View

TCCIII Fired Full View

TCCIII Fired Spark Plug Region

TCCII Near-Wall Flow

Proper Orthogonal Decomposition

This Matlab code that can be used to perform Proper Orthogonal Decomposition of vector fields. Scalar fields can be handled after minor editing.

A range of data, processing tools, and tutorials are available for free download via the links below.

Micro-PIV near surfaces: this Open Access video paper by Lu and Sick, available from the Journal of Visualized Experiments, describes details on how to set up and perform micro-PIV experiments to measure velocity fields near surfaces.

Lu, L., Sick, V. High-speed Particle Image Velocimetry Near Surfaces. J. Vis. Exp. (76), e50559, doi:10.3791/50559 (2013)


LIFSim allows the simulation of absorption and LIF spectra (excitation and emission) for NO and O2. Correction factors for imaging diagnostics can be evaluated. Spectroscopic data of NO A-X and O2 B-X is implemented. The simulations include pressure line broadening and shifting, and quenching. L LIF signals are calculated using a three-level non-transient linear model.

In addition, experimental spectra can be used as input and parameters, e.g. temperature, can be fit to the measured data.