A. M. Sadoun

A. M. Sadoun

King AbdulAziz University

H-index: 23

Asia-Saudi Arabia

About A. M. Sadoun

A. M. Sadoun, With an exceptional h-index of 23 and a recent h-index of 23 (since 2020), a distinguished researcher at King AbdulAziz University, specializes in the field of mechanics, vibration.

His recent articles reflect a diverse array of research interests and contributions to the field:

Navigating cardiovascular dynamics through mathematical modeling of arterial blood flow

Comprehensive investigation of the impact of milling time on microstructural evolution and tribological properties in Mg-Ti-SiC hybrid composites

Evaluation of hole quality in drilling process of GF/Aluminum wire mesh reinforced epoxy composites

CFD analysis on blood flow inside a symmetric stenosed artery: Physiology of a coronary artery disease

A modified artificial neural network to predict the tribological properties of Al-SiC nanocomposites fabricated by accumulative roll bonding process

Optimization of the accumulative roll bonding process parameters and SiC content for optimum enhancement in mechanical properties of Al-Ni-SiC composites

Utilizing a unified conceptual dynamic model for prediction of particle size of duel-matrix nanocomposites during mechanical alloying

On the understanding and prediction of tribological properties of Al-TiO2 nanocomposites using artificial neural network

A. M. Sadoun Information

University

Position

___

Citations(all)

1671

Citations(since 2020)

1529

Cited By

471

hIndex(all)

23

hIndex(since 2020)

23

i10Index(all)

33

i10Index(since 2020)

33

Email

University Profile Page

King AbdulAziz University

Google Scholar

View Google Scholar Profile

A. M. Sadoun Skills & Research Interests

mechanics

vibration

Top articles of A. M. Sadoun

Title

Journal

Author(s)

Publication Date

Navigating cardiovascular dynamics through mathematical modeling of arterial blood flow

Ain Shams Engineering Journal

Shahbaz Ali

IMR Najjar

AM Sadoun

A Fathy

2024/4/1

Comprehensive investigation of the impact of milling time on microstructural evolution and tribological properties in Mg-Ti-SiC hybrid composites

Materials Today Communications

Emad Ghandourah

Hossein Ahmadian

Tianfeng Zhou

AM Sadoun

A Fathy

...

2024/3/1

Evaluation of hole quality in drilling process of GF/Aluminum wire mesh reinforced epoxy composites

Alexandria Engineering Journal

Amr Seif

AM Sadoun

A Fathy

AA Megahed

2024/5/1

CFD analysis on blood flow inside a symmetric stenosed artery: Physiology of a coronary artery disease

Science progress

Salman Akhtar

Zahir Hussain

Sohail Nadeem

IM R Najjar

AM Sadoun

2023/4

A modified artificial neural network to predict the tribological properties of Al-SiC nanocomposites fabricated by accumulative roll bonding process

Journal of Composite Materials

IMR Najjar

AM Sadoun

A Ibrahim

H Ahmadian

A Fathy

2023/9

Optimization of the accumulative roll bonding process parameters and SiC content for optimum enhancement in mechanical properties of Al-Ni-SiC composites

Alexandria Engineering Journal

Waheed S Barakat

M Kh Younis

AM Sadoun

A Fathy

Mohamed IA Habba

2023/8/1

Utilizing a unified conceptual dynamic model for prediction of particle size of duel-matrix nanocomposites during mechanical alloying

Powder Technology

H Ahmadian

AM Sadoun

A Fathy

Tianfeng Zhou

2023/3/15

On the understanding and prediction of tribological properties of Al-TiO2 nanocomposites using artificial neural network

Journal of Composite Materials

Ismail Najjar

Ayman Sadoun

Adel Fathy

2023/6

On the prediction of the mechanical properties of ultrafine grain Al-TiO2 nanocomposites using a modified long-short term memory model with beluga whale optimizer

Journal of Materials Research and Technology

Ghazi S Alsoruji

AM Sadoun

Mohamed Abd Elaziz

Mohammed Azmi Al-Betar

AW Abdallah

...

2023/3/1

Numerical modeling of magnetohydrodynamic buoyancy-driven convection for enhanced energy applications

Case Studies in Thermal Engineering

Shahbaz Ali

AM Sadoun

A Fathy

AW Abdallah

2023/12/1

An enhanced Dendritic Neural Algorithm to predict the wear behavior of alumina coated silver reinforced copper nanocomposites

Alexandria Engineering Journal

AM Sadoun

IMR Najjar

A Fathy

Mohamed Abd Elaziz

Mohammed AA Al-Qaness

...

2023/2/15

Prediction of wear rates of Al-TiO2 nanocomposites using artificial neural network modified with particle swarm optimization algorithm

Materials Today Communications

Ismail Najjar

Ayman Sadoun

MN Alam

Adel Fathy

2023/6/1

Predicting crystallite size of Mg-Ti-SiC nanocomposites using an adaptive neuro-fuzzy inference system model modified by termite life cycle optimizer

Alexandria Engineering Journal

Hossein Ahmadian

Tianfeng Zhou

Mohamed Abd Elaziz

Mohammed Azmi Al-Betar

AM Sadoun

...

2023/12/1

Prediction of the tensile properties of ultrafine grained Al–SiC nanocomposites using machine learning

Journal of Materials Research and Technology

IMR Najjar

AM Sadoun

Mohamed Abd Elaziz

H Ahmadian

A Fathy

...

2023/5/1

On the microstructural and mechanical responses of dual-matrix Al-Ni/SiC composites manufactured using accumulative roll bonding

Alexandria Engineering Journal

Mohamed IA Habba

M Kh Younis

AM Sadoun

A Fathy

Waheed S Barakat

2023/9/1

Prediction of tribological properties of alumina-coated, silver-reinforced copper nanocomposites using long short-term model combined with golden jackal optimization

Lubricants

Ismail R Najjar

Ayman M Sadoun

Adel Fathy

Ahmed W Abdallah

Mohamed Abd Elaziz

...

2022/10/24

Microstructure and mechanical characterization of Cu–Ni/Al2O3 nanocomposites fabricated using a novel in situ reactive synthesis

Advanced Powder Technology

P Delshad Khatibi

H Henein

AB Phillion

2016/9/1

Development and performance analysis of novel in situ Cu–Ni/Al2O3 nanocomposites

Ceramics International

M Ali

AM Sadoun

M Elmahdy

G Abouelmagd

Asaad A Mazen

2022/8/15

Utilization of Improved Machine Learning Method Based on Artificial Hummingbird Algorithm to Predict the Tribological Behavior of Cu-Al2O3 Nanocomposites …

Mathematics

Ayman M Sadoun

Ismail R Najjar

Ghazi S Alsoruji

MS Abd-Elwahed

Mohamed Abd Elaziz

...

2022/4/11

Utilizing a Long Short-Term Memory Algorithm Modified by Dwarf Mongoose Optimization to Predict Thermal Expansion of Cu-Al2O3 Nanocomposites

Mathematics

Ayman M Sadoun

Ismail R Najjar

Ghazi S Alsoruji

Ahmed Wagih

Mohamed Abd Elaziz

2022/3/24

See List of Professors in A. M. Sadoun University(King AbdulAziz University)