Toby Bunn

London/Norwich ยท tobybunn4@gmail.com

I am a 21 year old, 4th year Mechanical Engineering student at UCL. I am skilled in the field of engineering design, and gained proficiency in various software, including CAD, FEA, CFD, and simulation software. I have strong interests and experience in many fields, consisting of but not limited to automotive, biomedical, machine learning and robotics. Please scroll to view my projects. Alternatively, follow the links on the side panel to check out my LinkedIn or contact me through email.

Feel free to check out my resume here.

Projects

Dissertation Project

Project 2-1 Project 2-2 Project 2-3

Created novel piezoresistive sensors to be cheap, easy to fabricate, reproducible, and usable in comparison to current technology. Exploited Machine Learning using sign language classification to test the sensors capabilities. Presented at BioMedEng23 conference as a poster presentation in September 2023. Relevant links are found at the end of the section.

UCL Formula Student

Worked in a team of 20 to design, build, test, and race a small-scale formula style racing car. Worked within CAD, Build and Performance teams, and led the Cost Analysis team. Finished 2nd place in the sprint event and 21st overall at FSUK 2022.

UCL FS Summer Internship

Designed a new steel spaceframe for the Formula Student car. FEA was used in an iterative process to reduce mass by 25%, while preserving stiffness to a reasonable safety factor and abiding by competition rules.

IMechE Line Launcher

Designed and built a spring loaded line launcher able to fire accurately within 10mm tolerance, up to 10m away. Programmed an Arduino to control various actuators and sensors. Coded a script to calculate optimal angles for launch, accounting for air resistance, dependent on the distance and height of the target.

Relevant Links

Skills

Programming Languages & Tools
  • Mechanical Design: Proficient in Autodesk Fusion360, including complex tools like Generative Design, Topology Optimization, Computer Aided Manufacturing, and also Structural Analysis.
  • Computational Modelling, Analysis, and Simulation: Proficient in Fusion360, Ansys Workbench, and Abaqus for FEA and CFD studies. Experienced in utilising FEA for static structural and heat transfer scenarios. Confident using MATLAB, Simulink, IPG CarMaker, and OptimumLap for performance simulations.
  • Programming: Experienced using Python for Machine Learning, utilising SciKitLearn, TensorFlow, and Keras toolboxes. Also experienced using Python for path planning algorithms, for example Monte Carlo learning and Q-Learning. Confident using Arduino software. Further learning of Python and C++.