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Dive into the research topics where Darius D. Lisowski is active.

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Featured researches published by Darius D. Lisowski.


Journal of Visualized Experiments | 2016

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

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

Distributed temperature sensor testing in liquid sodium

Craig D. Gerardi; Nathan C. Bremer; Darius D. Lisowski; S. Lomperski


Nuclear Engineering and Design | 2016

Experimental observations of natural circulation flow in the NSTF

Darius D. Lisowski; Adam R. Kraus; Matthew Bucknor; Rui Hu; Mitch T. Farmer


Archive | 2015

Thermal Cycling Testing of Distributed Fiber Optic Temperature Sensors for High-Temperature Applications

Darius D. Lisowski; Craig D. Gerardi; S. Lomperski


Archive | 2014

Design and Scaling of the Natural Convection Shutdown Heat Removal Test Facility

Darius D. Lisowski; Craig D. Gerardi; Nathan C. Bremer; M. T. Farmer


Applied Thermal Engineering | 2018

Ambient and building condition effects modeling of air-cooled natural circulation systems

Rui Hu; Darius D. Lisowski; Matthew Bucknor; Adam R. Kraus; Qiuping Lv


Archive | 2017

Progress Report on Computational Analyses of Water-Based NSTF

Qiuping Lv; Adam R. Kraus; Rui Hu; Matthew Bucknor; Darius D. Lisowski; D. Nunez


Archive | 2017

Water NSTF Design, Instrumentation, and Test Planning

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

MODELING THE AMBIENT CONDITION EFFECTS OF AN AIR-COOLED NATURAL CIRCULATION SYSTEM

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

Simulation of Buoyancy-Driven Flow for Various Power Levels at the NSTF

Adam R. Kraus; Rui Hu; Darius D. Lisowski; Matthew Bucknor

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Matthew Bucknor

Argonne National Laboratory

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Rui Hu

Argonne National Laboratory

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Adam R. Kraus

Argonne National Laboratory

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Craig D. Gerardi

Argonne National Laboratory

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Nathan C. Bremer

Argonne National Laboratory

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S. Lomperski

Argonne National Laboratory

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M. T. Farmer

Argonne National Laboratory

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Qiuping Lv

Argonne National Laboratory

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D. J. Kilsdonk

Argonne National Laboratory

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Mitch T. Farmer

Argonne National Laboratory

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