Ahmed Elsayed
Angestellt, Master Thesis, Hexagon Manufacturing Intelligence
Student, Computational Mechanics, Technische Universität München
Munich, Deutschland
Werdegang
Berufserfahrung von Ahmed Elsayed
Bis heute 4 Monate, seit März 2024
Master Thesis
Hexagon Manufacturing Intelligence
Topic: Hyperparameters Optimization using ODYSSEE MLP (Multilayer Perceptron) Neural Networks.
10 Monate, Juni 2023 - März 2024
CAE-VTD
Hexagon Manufacturing Intelligence
• Developing and implementing a pipe (communication tool) between MSC Apex software and WeldFEM for faster weld assessment. • A Structural and thermal analysis of the Ariane 5 spacecraft benchmark. • Teams and customer support for CAE simulations in (FEA, CFD, and MBD) covering different areas (Aerospace, Automotive, Machinery, Robotics, and Medical). • Improving the virtual test-driving software.
1 Jahr und 1 Monat, Apr. 2022 - Apr. 2023
Working Student
The Automotive Technology Chair @ TUM
• Performing combinatorial optimization for multiple problems like Knapsack and traveling salesman. • A publication submitted for the results.
• Prototype validation at the R&D department. • Conducting CFD study to optimize the tank output for highly viscous flow using ANSYS Fluent.
1 Jahr, Jan. 2020 - Dez. 2020
Working Student
Forschungsstelle für Zahnräder und Getriebebau - FZG, TU München
• Studying the contact stress between gears using ANSYS Mechanical & Fluent. • Improving the model by adding a lubricant layer between the gears. • Validating the results with the experiment.
1 Jahr und 3 Monate, Okt. 2018 - Dez. 2019
Research Assistant
The American University in Cairo
• Studying and improving the skin-condenser performance using ANSYS Fluent. • The study involved determining the flow regime, pressure, and heat transfer correlations. • Find the best tube geometry for more efficient heat transfer (round or oval).
• Develop and improve the manufacturing process. • Design prototypes and feasibility models for proof-of-concept testing. • Assisted in designing and building a new catheter lamination machine from scratch using local resources (saved around 80% of the original machine's cost). • Conducting flow simulation using ANSYS Fluent aiding in developing new types of catheters. • Support efforts to verify and validate the new product designs.
Ausbildung von Ahmed Elsayed
Bis heute 4 Jahre und 9 Monate, seit Okt. 2019
Computational Mechanics
Technische Universität München
5 Jahre und 10 Monate, Sep. 2011 - Juni 2017
Mechanical Engineering
Faculty of Engineering, Alexandria University
Sprachen
Englisch
Fließend
Deutsch
Grundlagen
Arabisch
Muttersprache