Mohammed Rayyan is a Mechanical Engineering student at the University of Leeds with experience in mechanical design, robotics, simulation, and analysis. He has worked on Formula Student AI, a robot arm master’s thesis pr…
Mohammed Rayyan is a Mechanical Engineering student at the University of Leeds with experience in mechanical design, robotics, simulation, and analysis. He has worked on Formula Student AI, a robot arm master’s thesis project, helicopter stabilizer optimization, and engineering design activities using tools such as SOLIDWORKS, MATLAB/Simulink, Abaqus, Arduino, ROS, Gazebo, C++, Python, and Raspberry Pi.
<p>Led the Mechanical Design team to manufacture the chassis of 1/10th of the car which ensured high stability and fully accommodated 1 microprocessor, 3 actuators and 2 sensors (servomotor, LiDAR etc.).<br>
Tested sensors and studied software architecture while leading the team to design 1/8th of the car model.<br>
Implemented SLAM and ROS (and Gazebo) with C++ and python to build a navigation system and a simulation environment for the autonomous vehicle.</p>
<p>Assisted a team to develop a robot arm to reduce labor by 50% to aid research in Microbiology.<br>
Tested electrical components like servo motors and programmed Raspberry Pi using python to achieve 100% automatic plating on petri dishes.<br>
Utilized 3D CAD to design mechanical gripper.<br>
Simulated the actions of the robotic system using MATLAB Simulink Robotic Systems toolbox and Simscape to evaluate design, save project time by 40% and reduce costs for testing.</p>
<p>Performed FEA analysis of R22 helicopter stabilizer in Abaqus by conducting sensitivity tests for the model at 14 different heights to analyze failure.<br>
Replaced the original material (Aluminum) of the stabilizers with a carbon fiber composite and identified the mechanical performance at 30 composite fiber orientations using FEM.<br>
Created a trend of no. of fibers vs fiber orientations which predicted the best fiber configuration.<br>
Improved the mechanical performance by 30% and reduced weight by 15%.</p>
<p>Manufactured a buggy from scratch using aluminum box sections, 3mm metal sheets, wheels, motors and electrical components like Arduino Mega and encoders.<br>
Led a team of 7 and directed manufacturing techniques such as drilling and sheet metal bending and cutting.<br>
Performed mechanical and modal analysis using simulations to design the suspension.<br>
Programmed the buggy using Arduino to calibrate the motors and track using encoders.<br>
Finished 3rd in the competition against 17 teams.</p>
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