Ehsan Eftekhari-Zadeh

Friedrich Schiller University Jena

Germany

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Research Interests

Fluid Mechanics

90%

Petrochemical Engineering

40%

Multiphase Flow

100%

Hysteresis Modeling

70%

Nanofluid Dynamics

50%

Thermal Hydraulics

50%

Chemical Sensors

20%

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Articles11

Utilizing Artificial Neural Networks and Combined Capacitance-Based Sensors to Predict Void Fraction in Two-Phase Annular Fluids Regardless of Liquid Phase Type

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Year:

2023

An Experimental and Simulation Study for Comparison of the Sensitivity of Different Non-Destructive Capacitive Sensors in a Stratified Two-Phase Flow Regime

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Year:

2023

Intelligent Measuring of the Volume Fraction Considering Temperature Changes and Independent Pressure Variations for a Two-Phase Homogeneous Fluid Using an 8-Electrode Sensor and an ANN

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Year:

2023

An Intelligent Approach to Determine Component Volume Percentages in a Symmetrical Homogeneous Three-Phase Fluid in Scaled Pipe Conditions

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Year:

2023

Using Ant Colony Optimization as a Method for Selecting Features to Improve the Accuracy of Measuring the Thickness of Scale in an Intelligent Control System

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Year:

2023

An Experimental and Simulation Study for Comparison of the Sensitivity of Different Non-Destructive Capacitive Sensors in a Stratified Two-Phase Flow Regime

Article Link

Year:

2023

Using ANN and Combined Capacitive Sensors to Predict the Void Fraction for a Two-Phase Homogeneous Fluid Independent of the Liquid Phase Type

Article Link

Year:

2023

Using ANN and Combined Capacitive Sensors to Predict the Void Fraction for a Two-Phase Homogeneous Fluid Independent of the Liquid Phase Type

Article Link

Year:

2023

Experimental Study of Void Fraction Measurement Using a Capacitance-Based Sensor and ANN in Two-Phase Annular Regimes for Different Fluids

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Year:

2023

Experimental Study of Void Fraction Measurement Using a Capacitance-Based Sensor and ANN in Two-Phase Annular Regimes for Different Fluids

Article Link

Year:

2023

Introducing the Effective Features Using the Particle Swarm Optimization Algorithm to Increase Accuracy in Determining the Volume Percentages of Three-Phase Flows

Article Link

Year:

2023

Collaborators5

Ehsan Nazemi

University of Antwerp

BELGIUM

Ramy Mohammed Aiesh Qaisi

College of Engineering

SAUDI ARABIA

Mohammed Thanoon

SAUDI ARABIA

Neeraj Kumar Shukla

College of Engineering

SAUDI ARABIA

RAMKUMAR RAJA

king khalid university

SAUDI ARABIA

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