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Ihab G. Adam
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Journal Articles

Fluid Transient Analysis for Enhanced Performance of an Energy Recovery Device for a Small-Scale Reverse Osmosis Desalination Unit

Mohab A. Hassan, Essam M. Wahba, Ihab G. Adam, Mohamed A. Swidan
Journal: Journal of Energy Resources Technology, Part A: Sustainable and Renewable Energy
Publisher: ASME
Article Type: Research Papers
J. Energy Res. Technol. Part A. January 2025, 1(1): 012101.
Paper No: JERTA-24-1326
https://doi.org/10.1115/1.4066108
Published Online: November 15, 2024
View Article titled, Fluid Transient Analysis for Enhanced Performance of an Energy Recovery Device for a Small-Scale Reverse Osmosis Desalination Unit
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Journal Articles

Integral Pumping Devices for Dual Mechanical Seals: Hydraulic Performance Generalization Using Dimensional Analysis

Hassan A. Warda, Ihab G. Adam, Ahmed B. Rashad, Muhannad W. Gamal-Aldin
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. August 2018, 140(8): 082507.
Paper No: GTP-17-1124
https://doi.org/10.1115/1.4039083
Published Online: May 15, 2018
View Article titled, Integral Pumping Devices for Dual Mechanical Seals: Hydraulic Performance Generalization Using Dimensional Analysis
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Topics: Dimensional analysis, Fluids, Flow (Dynamics), Pressure, Water, Axial flow
Proceedings Papers

Numerical Investigation of the Pressure Drop Through Micro-Pillar Arrays for a Wide Range of Aspect Ratios

Ahmed M. Taher, Benjamin Jones, Ihab G. Adam, Liesbet Lagae
Proc. ASME. IMECE2013, Volume 7B: Fluids Engineering Systems and Technologies, V07BT08A019, November 15–21, 2013
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2013-64445
https://doi.org/10.1115/IMECE2013-64445
View Paper titled, Numerical Investigation of the Pressure Drop Through Micro-Pillar Arrays for a Wide Range of Aspect Ratios
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Topics: Columns (Structural), Pressure drop, Simulation results, Computer simulation, Dimensional analysis, Errors, Filtration, Permeability
Proceedings Papers

Optimizing Neural Networks for Leak Monitoring in Pipelines

Ayman H. Kassem, Ihab G. Adam
Proc. ASME. PVP2004, Risk and Reliability and Evaluation of Components and Machinery, 57-61, July 25–29, 2004
Publisher: American Society of Mechanical Engineers
Paper No: PVP2004-3005
https://doi.org/10.1115/PVP2004-3005
View Paper titled, Optimizing Neural Networks for Leak Monitoring in Pipelines
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Topics: Artificial neural networks, Genetic algorithms, Leakage, Pipelines