Darius D. Lisowski
Argonne National Laboratory
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Publication
Featured researches published by Darius D. Lisowski.
Journal of Visualized Experiments | 2016
S. Lomperski; Craig D. Gerardi; Darius D. Lisowski
The reliability of computational fluid dynamics (CFD) codes is checked by comparing simulations with experimental data. A typical data set consists chiefly of velocity and temperature readings, both ideally having high spatial and temporal resolution to facilitate rigorous code validation. While high resolution velocity data is readily obtained through optical measurement techniques such as particle image velocimetry, it has proven difficult to obtain temperature data with similar resolution. Traditional sensors such as thermocouples cannot fill this role, but the recent development of distributed sensing based on Rayleigh scattering and swept-wave interferometry offers resolution suitable for CFD code validation work. Thousands of temperature measurements can be generated along a single thin optical fiber at hundreds of Hertz. Sensors function over large temperature ranges and within opaque fluids where optical techniques are unsuitable. But this type of sensor is sensitive to strain and humidity as well as temperature and so accuracy is affected by handling, vibration, and shifts in relative humidity. Such behavior is quite unlike traditional sensors and so unconventional installation and operating procedures are necessary to ensure accurate measurements. This paper demonstrates implementation of a Rayleigh scattering-type distributed temperature sensor in a thermal mixing experiment involving two air jets at 25 and 45 °C. We present criteria to guide selection of optical fiber for the sensor and describe installation setup for a jet mixing experiment. We illustrate sensor baselining, which links readings to an absolute temperature standard, and discuss practical issues such as errors due to flow-induced vibration. This material can aid those interested in temperature measurements having high data density and bandwidth for fluid dynamics experiments and similar applications. We highlight pitfalls specific to these sensors for consideration in experiment design and operation.
Nuclear Engineering and Design | 2017
Craig D. Gerardi; Nathan C. Bremer; Darius D. Lisowski; S. Lomperski
Nuclear Engineering and Design | 2016
Darius D. Lisowski; Adam R. Kraus; Matthew Bucknor; Rui Hu; Mitch T. Farmer
Archive | 2015
Darius D. Lisowski; Craig D. Gerardi; S. Lomperski
Archive | 2014
Darius D. Lisowski; Craig D. Gerardi; Nathan C. Bremer; M. T. Farmer
Applied Thermal Engineering | 2018
Rui Hu; Darius D. Lisowski; Matthew Bucknor; Adam R. Kraus; Qiuping Lv
Archive | 2017
Qiuping Lv; Adam R. Kraus; Rui Hu; Matthew Bucknor; Darius D. Lisowski; D. Nunez
Archive | 2017
Darius D. Lisowski; Craig D. Gerardi; Rui Hu; D. J. Kilsdonk; Nathan C. Bremer; S. Lomperski; Adam R. Kraus; Matthew Bucknor; M. T. Farmer
2017 25th International Conference on Nuclear Engineering | 2017
Rui Hu; Darius D. Lisowski; Matthew Bucknor; Adam R. Kraus; Qiuping Lv
Volume 4: Computational Fluid Dynamics (CFD) and Coupled Codes; Decontamination and Decommissioning, Radiation Protection, Shielding, and Waste Management; Workforce Development, Nuclear Education and Public Acceptance; Mitigation Strategies for Beyond Design Basis Events; Risk Management | 2016
Adam R. Kraus; Rui Hu; Darius D. Lisowski; Matthew Bucknor