Search Results - "Alsunaydih, Fahad Nasser"

Optimization of wear parameters for ECAP-processed ZK30 alloy using response surface and machine learning approaches: a comparative study by Shaban, Mahmoud, Alsunaydih, Fahad Nasser, Kouta, Hanan, El-Sanabary, Samar, Alrumayh, Abdulrahman, Alateyah, Abdulrahman I., Alawad, Majed O., El-Garaihy, Waleed H., El-Taybany, Yasmine

“…The present research applies different statistical analysis and machine learning (ML) approaches to predict and optimize the processing parameters on the wear…”
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A Navigation and Pressure Monitoring System Toward Autonomous Wireless Capsule Endoscopy by Alsunaydih, Fahad Nasser, Arefin, Md Shamsul, Redoute, Jean-Michel, Yuce, Mehmet Rasit

“…Continuous navigation information for medical insertion methods including wireless capsule endoscopy is an important feature to guide a medical…”
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Investigation of the Effect of ECAP Parameters on Hardness, Tensile Properties, Impact Toughness, and Electrical Conductivity of Pure Cu through Machine Learning Predictive Models by Shaban, Mahmoud, Alsharekh, Mohammed F, Alsunaydih, Fahad Nasser, Alateyah, Abdulrahman I, Alawad, Majed O, BaQais, Amal, Kamel, Mokhtar, Nassef, Ahmed, El-Hadek, Medhat A, El-Garaihy, Waleed H

“…Copper and its related alloys are frequently adopted in contemporary industry due to their outstanding properties, which include mechanical, electrical, and…”
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Influence of ECAP Parameters on the Structural, Electrochemical and Mechanical Behavior of ZK30: A Combination of Experimental and Machine Learning Approaches by Shaban, Mahmoud, Alateyah, Abdulrahman I., Alsharekh, Mohammed F., Alawad, Majed O., BaQais, Amal, Kamel, Mokhtar, Alsunaydih, Fahad Nasser, El-Garaihy, Waleed H., Salem, Hanadi G.

“…Several physics-based models have been utilized in material design for the simulation and prediction of material properties. In this study, several…”
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A Comparative Study of a Machine Learning Approach and Response Surface Methodology for Optimizing the HPT Processing Parameters of AA6061/SiCp Composites by El-Garaihy, Waleed H., Alateyah, Abdulrahman I., Shaban, Mahmoud, Alsharekh, Mohammed F., Alsunaydih, Fahad Nasser, El-Sanabary, Samar, Kouta, Hanan, El-Taybany, Yasmine, Salem, Hanadi G.

“…This work investigates the efficacy of high-pressure torsion (HPT), as a severe plastic deformation mechanism for processing plain and…”
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The Impact of ECAP Parameters on the Structural and Mechanical Behavior of Pure Mg: A Combination of Experimental and Machine Learning Approaches by El-Garaihy, Waleed H., BaQais, Amal, Alateyah, Abdulrahman I., Alsharekh, Mohammed F., Alawad, Majed O., Shaban, Mahmoud, Alsunaydih, Fahad Nasser, Kamel, Mokhtar

“…Commercial pure Mg specimens were processed through equal channel angular pressing (ECAP) using two dies with die angles of 90° and 120°. Mg billets were…”
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Optimization of ECAP parameters of ZX30 alloy using feature engineering assisted machine learning and response surface approaches by El-Garaihy, W.H., Alateyah, A.I., Alawad, Majed O., Alsunaydih, Fahad Nasser, El-Sanabary, Samar, El-Asfoury, Mohamed S., Alhumud, Haitham S., Kouta, Hanan

“…The precise control of equal channel angular pressing (ECAP) deformation parameters is crucial for producing ultrafine grains in structural ZX30-Mg alloy…”
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A comparative study of machine learning and response surface methodologies for optimizing wear parameters of ECAP-processed ZX30 alloy by El-Sanabary, Samar, Kouta, Hanan, Shaban, Mahmoud, Alrumayh, Abdulrahman, Alateyah, Abdulrahman I., Alsunaydih, Fahad Nasser, Alawad, Majed O., El-Taybany, Yasmine, El-Asfoury, Mohamed S., El-Garaihy, Waleed H.

“…Magnesium, valued for its lightweight, recyclability, and biocompatibility, faces challenges like its poor wear behavior and mechanical properties that limit…”
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