Title:    Characterization of ALM swirl burner surface roughness and Its effects on flame stability using high-speed diagnostics - dataset

Citation
Runyon JP, Giles AP, Marsh R, et al.  (2020). Characterization of ALM swirl burner surface roughness and Its effects on flame stability using high-speed diagnostics - dataset. Cardiff University. https://doi.org/10.17035/d.2019.0079832309

Dataset Details

Publisher: Cardiff University

Date (year) of data becoming publicly available: 2020

Data format: .cine, .xlsx

Software Required: For ".cine" files (OH* chemiluminescence images), Phantom Camera Control (PCC) version 2.8 or higher is required.

Estimated total storage size of dataset: Less than 100 gigabytes

Number of Files In Dataset: 50

DOI : 10.17035/d.2019.0079832309

DOI URL: http://doi.org/10.17035/d.2019.0079832309

Description

In this study, two Inconel 625 swirl nozzle inserts with identical bulk geometry were constructed via Additive Layer Manufacturing (ALM) for use in a generic gas turbine swirl burner. Further post-processing by grit blasting of one swirl nozzle insert results in a quantifiable change to the surface roughness characteristics when compared with the unprocessed ALM swirl nozzle insert or a third nozzle insert which has been manufactured using traditional machining methods. An evaluation of the influence of variable surface roughness effects from these swirl nozzle inserts is therefore performed under preheated isothermal and combustion conditions for premixed methane-air flames at thermal power of 25 kW. High-speed velocimetry at the swirler exit under isothermal conditions gives evidence of the change in near-wall boundary layer thickness and turbulent fluctuations resulting from the change in nozzle surface roughness. Under atmospheric combustion conditions, this influence is further quantified using a combination of dynamic pressure, high-speed OH* chemiluminescence, and exhaust gas emissions measurements to evaluate the flame stabilization mechanisms at the lean blowoff and rich stability limits.  This dataset therefore include experimental rig data (e.g. temperature, pressure, flows), OH* chemiluminescence images, dynamic pressure measurements, surface roughness measurements, velocity data, and exhaust gas emissions data.

Research results based upon these data are published at https://doi.org/10.1115/1.4044950