{Coder} by night
Hello world! I'm
Karim.Elbehiri
Engineer by day
- مرحباً
- Hola
- 你好
- नमस्ते
- Kamusta
- Ciao
- こんにちは
- Merhaba
- Hallo
- 안녕하세요
- привет
- Hei
- Bonjour
- 안녕하세요
- Hallå
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- Xin chào
- สวัสดี
- Salut
- Ahoj
- привіт
- ഹലോ
- Zdravo
- Helo
- Përshëndetje
- Thank you for taking the time to visit & explore my portfolio
- What I do for a living: Simulate fluid flows to predict the perfect swirl in your morning coffee
- Feel free to get in touch with me using any of my contact details
- Looking forward to speaking with you!
Education
MSc Thermal Power and Fluids Engineering
University of Manchester
Sep 2021 - Sep 2022
Gained an in-depth understanding of fluid dynamics, heat transfer mechanisms, and their practical applications in power generation systems. Developed advanced analytical and computational skills, enabling me to solve complex engineering problems and contribute to the design and optimisation of efficient and sustainable thermal power systems.
BEng Mechanical Engineering
University of Sheffield
Sep 2018 - Jun 2021
Acquired a strong foundation in engineering principles, including mechanics, thermodynamics, and materials science. Through hands-on projects and coursework, I developed critical problem-solving skills and gained practical knowledge in areas such as mechanical design, manufacturing processes, and systems analysis, preparing me for a career in diverse industries.
Experience
CFD Application Engineer
ANSYS
Jul 2023 - Present
Aerodynamics Engineer
Manchester Stinger Motorsports
Sep 2021 - Sep 2022
Gained extensive knowledge in aerodynamic principles, including airflow analysis, CFD simulations, and vehicle aerodynamic optimisation. Developed, designed, and optimised the front and rear wings of the car in SolidWorks. Implemented innovative ideas in the car aerodynamics of the SAE team. Conducted and supervised on CFD simulations.
CFD Engineer
Hyperloop Manchester
Sep 2021 - Sep 2022
Generated original design ideas for the outer shell design and built CAD designs in SolidWorks.
Acquired new experience in manufacturing and wind tunnel testing techniques.
Conducted CFD simulations, analysed aerodynamic forces, and optimised the Hyperloop pod's design to minimize drag and maximize efficiency, ultimately contributing to the team's goal of developing a safe, fast, and sustainable transportation solution.
Mechanical Design Engineer
Project Kestrel
Sep 2019 - Jun 2020
Designed part of a drone that delivers medical equipment and supply between hospitals and rural settlements in Africa. Presented for a team, of more than 20 people, prototype design for the drone. Co-ordinated and planned meetings with other team members to effectively complete the drone design.
Skills
Fusion 360
Autocad
FreeCAD
SolidWorks
CES EduPack
LabVIEW
ParaView
Matlab
StarCCM
OpenFoam
Ansys
C++
Python
JavaScript
HTML
CSS
Swift
Linux
Big Data
Machine Learning
Communication
Problem-solving
Teamwork
Adaptability
Critical Thinking
Time Management
Leadership
Creativity
Emotional Intelligence
Technical Writing
Data Analysis
Project Management
Continuous Learning
MS Word
MS PowerPoint
MS Excel
English & Arabic
Open to Travel
Projects
Project 1
Using machine learning in CFD simulation
Project Outline
RANS simulations are popular due to their computational efficiency and reasonably accurate outcomes, but they struggle to accurately represent certain flow problems such as square duct flows due to limitations in turbulence modeling. To address this, machine learning techniques are gaining attention as a promising approach to enhance RANS simulations, enabling better capture of flow physics at a significantly reduced cost compared to higher fidelity simulations like DNS or LES.
My Contribution
The tensor basis neural network (TBNN), an innovative supervised machine learning algorithm incorporating Galilean invariance, was developed for fluid dynamics. It was trained, validated, and tested using RANS data from OpenFOAM simulations on a square duct flow case, with the aim of predicting accurate results in the absence of DNS data.
Project 2
Aerodynmaic drag and downforce of F1 car
Project Outline
Understand the aerodynamic effects of the new F1 regulation changes on the F1 car drag and downforce and the aerodynamic impact of the newly designed rear wing on the flow field surrounding the rear part of the F1 car.
My Contribution
Developed a computer-aided design (CAD) model of the new rear wing and combined it with the existing model of the car to form a watertight geometry. Generated a high-quality mesh to sufficiently discretise the domain. Conducted a steady-state (SST) and hybrid (IDDES) simulations on the F1 car with new rear wing. Compared the drag, downforce and flow fields surrounding both the old and new rear wing in typical flow conditions encountered in a racing situation.
Project 3
Developing my own tailored portfolio website
Project Outline
The tailored portfolio website aims to showcase my unique skills, experience, and accomplishments through a visually appealing and user-friendly interface. It will incorporate personalized design elements, interactive features, and a comprehensive collection of work samples to effectively highlight my professional profile.
My Contribution
I was responsible for the overall design and development of the tailored portfolio website. I designed a custom layout and user interface, ensuring a seamless and engaging browsing experience. Additionally, I implemented interactive features such as image galleries and contact forms, optimized the website for mobile responsiveness, and integrated SEO techniques to enhance its visibility and reach.