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Proceedings Papers

A Quantitative Analysis of Machine Learning Based Regressors for Pressure Reconstruction in Particle Image Velocimetry Applications

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Manan Basu, Sushrut Kumar, Priyam Gupta, Raj Kumar Singh
Proc. ASME. FEDSM2020, Volume 1: Fluid Applications and Systems; Fluid Measurement and Instrumentation, V001T02A016, July 13–15, 2020
Publisher: American Society of Mechanical Engineers
Paper No: FEDSM2020-20262
https://doi.org/10.1115/FEDSM2020-20262
... Abstract With the recent advances in Artificial Intelligence, avenues for the application of Machine Learning (ML) are increasing in many engineering problems pertaining to Fluid Mechanics. Particle Image Velocimetry is an advanced fluid measurement technique but the pressure evaluation...
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Topics: Machine learning, Particulate matter, Pressure
Proceedings Papers

Time and Spatial Pressure and Velocity Correlation in a Microbubble Laden Boundary Layer

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Elvis E. Dominguez-Ontiveros, Carlos Estrada-Perez, Yassin A. Hassan
Proc. ASME. FEDSM2007, Volume 1: Symposia, Parts A and B, 307-312, July 30–August 2, 2007
Publisher: American Society of Mechanical Engineers
Paper No: FEDSM2007-37291
https://doi.org/10.1115/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...
View Paper titled, Time and Spatial Pressure and Velocity Correlation in a Microbubble Laden Boundary Layer
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Topics: Boundary layers, Drag reduction, Pressure
Proceedings Papers

Numerical Simulations of Air Flow in a Full Scale Clean Room Incorporating Fan Curves of Fan Filter Units

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Liang-Han Chien, Chia-Sung Huang, Wen-Jung Liao, Yew-Khoh Chuah
Proc. ASME. FEDSM2006, Volume 2: Fora, 195-200, July 17–20, 2006
Publisher: American Society of Mechanical Engineers
Paper No: FEDSM2006-98537
https://doi.org/10.1115/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...
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Topics: Air flow, Computational fluid dynamics, Computer simulation, Filters, Pressure