Abstract
This independent study aims to create an advanced training module for the Makerspace on sensors and actuators for mechanical applications, guiding users toward more effective sensor selection, actuator control, implementation and troubleshooting of common issues. To support the development of the training module, extensive research was conducted on widely available sensors and actuators compatible with Arduino and Adafruit microprocessors, both of which are commonly available in student Makerspaces. In addition to online research, I reviewed popular maker websites and magazines, such as Make Magazine and Instructables, to identify components that are appropriate for introductory and intermediate-level projects. Through this process, I identified key components like ultrasonic distance sensors, servo motors, and accelerometers, evaluating their ease of use, performance, and compatibility with mechanical applications. In addition to the training module, an in-person workshop is being developed in which participants will build a servo-driven tilt maze. Users will integrate the accelerometer embedded in Adafruit’s Circuit Playground Express (CPX) and servo motors to control the maze's movement, learning how to wire the system and program it using Circuit Python or Arduino IDE. The workshop is designed to complement the training module, reinforcing key concepts and ensuring that participants leave with both a solid understanding of the material, as well as practical skills they can apply to their own projects.
Document Type
Final Report
Class Name
Mechanical Engineering and Material Sciences Independent Study
Date of Submission
12-20-2024
Recommended Citation
Morton, Nathalie, "Optimizing Mechanical Sensor and Actuator Implementation for Student Makerspace Applications" (2024). Mechanical Engineering and Materials Science Independent Study. 282.
https://openscholarship.wustl.edu/mems500/282