Noah E. El-Zathry

Noah E. El-Zathry
Northumbria University · Mechanical and Construction Engineering

PhD Candidate
PhD student at Northumbria University, Newcastle, United Kingdom

About

7
Publications
696
Reads
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35
Citations
Introduction
Currently, I am working as a Teaching Assistant at the Department of Mechanical Engineering, Faculty of Engineering, Benha University. My research interests are: Friction Stir Welding and Industrial Engineering.
Additional affiliations
October 2023 - present
Northumbria University
Position
  • PhD Student
February 2018 - October 2023
Benha University
Position
  • Teaching Assistant
Education
September 2012 - June 2017
Benha University
Field of study

Publications

Publications (7)
Article
Full-text available
Friction stir-based techniques (FSTs), originating from friction stir welding (FSW), represent a solid-state processing method catering to the demands of various industrial sectors for lightweight components with exceptional properties. These techniques have gained much more attraction by providing an opportunity to tailor the microstructure and en...
Article
Full-text available
Standard friction stir welding process parameters have a considerable impact on the quality of functional parts produced by underwater friction stir welding (UWFSW) with additive water. Hybrid statistical techniques may be used to optimize operating parameters in order to improve the aim function. The tensile strength (UTS)of parts fabricated with...
Article
Full-text available
Friction stir welding (FSW) is a solid-state welding process, which has a significant role in solid-state welding processes for nonferrous alloys. Conventional arc welding processes for aluminum alloys such as metal inert gas (MIG) and tungsten inert gas (TIG) are replaced by FSW. The effect of FSW parameters such as rotational and traverse speeds,...
Conference Paper
— The qualities of functional parts produced by underwater friction stir welding (UWFSW) with additive water are significantly reliant on standard FSW process parameters. To improve the goal function, hybrid statistical tools can be used to optimize operation parameters. This work investigates the tensile strength(σUTS)of tests ASTM D638-14 specifi...

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