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Proceedings Papers

Numerical Analysis to Study the Effect of Control Temperature Location Inside a Datacenter

Atta Ul Mannan Hashmi, Arshan Ahmed Tipu, Fahad Rafi Butt, Imran Akhtar, Muhammad Saif Ullah Khalid
Proc. ASME. FEDSM2022, Volume 2: Multiphase Flow (MFTC); Computational Fluid Dynamics (CFDTC); Micro and Nano Fluid Dynamics (MNFDTC), V002T05A028, August 3–5, 2022
Publisher: American Society of Mechanical Engineers
Paper No: FEDSM2022-87885
https://doi.org/10.1115/FEDSM2022-87885
View Paper titled, Numerical Analysis to Study the Effect of Control Temperature Location Inside a Datacenter
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Topics: HVAC equipment, Numerical analysis, Temperature, Temperature sensors, Cloud computing, Computational fluid dynamics, Computer simulation, Control systems, Cooling systems, Energy consumption
Proceedings Papers

Harnessing the Power of the Cloud - Computational Fluid Dynamics With SimScale

Jousef Murad
Proc. ASME. FEDSM2021, Volume 1: Aerospace Engineering Division Joint Track; Computational Fluid Dynamics, V001T02A049, August 10–12, 2021
Publisher: American Society of Mechanical Engineers
Paper No: FEDSM2021-66406
https://doi.org/10.1115/FEDSM2021-66406
View Paper titled, Harnessing the Power of the Cloud - Computational Fluid Dynamics With SimScale
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Topics: Cloud computing, Computational fluid dynamics
Proceedings Papers

A Novel Mathematical Framework for the Venous Valve Leaflet Morphology Extracted From In-Vitro Images Using Machine Learning Assisted Stereological Analysis

V. M. Krushnarao Kotteda, Herb F. Janssen, Christopher Harris, Vinod Kumar
Proc. ASME. FEDSM2021, Volume 3: Fluid Mechanics; Micro and Nano Fluid Dynamics; Multiphase Flow, V003T05A008, August 10–12, 2021
Publisher: American Society of Mechanical Engineers
Paper No: FEDSM2021-65744
https://doi.org/10.1115/FEDSM2021-65744
View Paper titled, A Novel Mathematical Framework for the Venous Valve Leaflet Morphology Extracted From In-Vitro Images Using Machine Learning Assisted Stereological Analysis
Open the PDF for A Novel Mathematical Framework for the Venous Valve Leaflet Morphology Extracted From In-Vitro Images Using Machine Learning Assisted Stereological Analysis in another window
Topics: Machine learning, Valves, Risk, Blood flow, Algorithms, Biomedicine, Blood, Cancer, Cloud computing, Computer software
Proceedings Papers

Performance Characteristics and Flow Conditions of High Pressure and Large Flow Rate Cooling Fan

Toru Shigemitsu, Junichiro Fukutomi, Takuya Agawa
Proc. ASME. FEDSM2013, Volume 1B, Symposia: Fluid Machinery; Fluid Power; Fluid-Structure Interaction and Flow-Induced Noise in Industrial Applications; Flow Applications in Aerospace; Flow Manipulation and Active Control: Theory, Experiments and Implementation; Fundamental Issues and Perspectives in Fluid Mechanics, V01BT10A015, July 7–11, 2013
Publisher: American Society of Mechanical Engineers
Paper No: FEDSM2013-16273
https://doi.org/10.1115/FEDSM2013-16273
View Paper titled, Performance Characteristics and Flow Conditions of High Pressure and Large Flow Rate Cooling Fan
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Topics: Cooling, Flow (Dynamics), High pressure (Physics), Performance characterization, Rotors, Fans, Data centers, Electricity (Physics), Internal flow, Pressure