caa a22 4500 606197532 CHVBK 20210128100929.0 cr unu---uuuuu 210128e20150701xx s 000 0 eng 10.1007/s00348-015-2011-x doi (NATIONALLICENCE)springer-10.1007/s00348-015-2011-x Robust, automated processing of IR thermography for quantitative boundary-layer transition measurements [Elektronische Daten] [Brian Crawford, Glen Duncan Jr., David West, William Saric] A technique for automated, quantitative, global boundary-layer transition detection using IR thermography is developed. Transition data are rigorously mapped onto model coordinates in an automated fashion on moving targets. Statistical analysis of transition data that is robust to environmental contamination is presented. The Author(s), 2015 Crawford Brian Texas A&M University, 77845, College Station, TX, USA aut Duncan Jr. Glen Texas A&M University, 77845, College Station, TX, USA aut West David Texas A&M University, 77845, College Station, TX, USA aut Saric William Texas A&M University, 77845, College Station, TX, USA aut Experiments in Fluids Springer Berlin Heidelberg 56/7(2015-07-01), 1-11 0723-4864 56:7<1 2015 56 348 https://doi.org/10.1007/s00348-015-2011-x text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00348-015-2011-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Crawford Brian Texas A&M University, 77845, College Station, TX, USA aut NATIONALLICENCE 700 1- Duncan Jr Glen Texas A&M University, 77845, College Station, TX, USA aut NATIONALLICENCE 700 1- West David Texas A&M University, 77845, College Station, TX, USA aut NATIONALLICENCE 700 1- Saric William Texas A&M University, 77845, College Station, TX, USA aut NATIONALLICENCE 773 0- Experiments in Fluids Springer Berlin Heidelberg 56/7(2015-07-01), 1-11 0723-4864 56:7<1 2015 56 348