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Proc. ASME. FEDSM2020, Volume 1: Fluid Applications and Systems; Fluid Measurement and Instrumentation, V001T02A016, July 13–15, 2020
Paper No: FEDSM2020-20262
...A QUANTITATIVE ANALYSIS OF MACHINE LEARNING BASED REGRESSORS FOR PRESSURE RECONSTRUCTION IN PARTICLE IMAGE VELOCIMETRY APPLICATIONS Manan Basu, Sushrut Kumar, Priyam Gupta, Raj Kumar Singh Department of Mechanical Engineering Delhi Technological University Delhi, India E-mail - rajkumarsingh...
Proc. ASME. FEDSM2007, Volume 1: Symposia, Parts A and B, 307-312, July 30–August 2, 2007
Paper No: FEDSM2007-37291
... 26 03 2009 Measurements of the velocity fields and wall pressure have been performed in a microbubble laden boundary layer in order to have a better understanding of the degree of correlation between these two parameters. Cross-correlation coefficients have been obtained from...
Proc. ASME. FEDSM2006, Volume 2: Fora, 195-200, July 17–20, 2006
Paper No: FEDSM2006-98537
... 08 09 2008 This manuscript presents the air flow fields and pressure distributions of a full scale class 100 semiconductor clean room system using a computational fluid dynamics (CFD) model that incorporates flow resistances of various components in the air path. The fan-performance...