Project Summary | Project Information |
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The RIT SAE Baja Team acquires multiple forms of data on their vehicle during a race. A few key systems that are monitored are the vehicle's frame, driveline, and suspension subsystems. Our project would streamline this acquisition of the race data into a multi-sensor node acquisition system. One node would acquire frame and suspension strain gauge data, one would acquire driveline temperature data, and another would capture hall effect data for engine RPM and wheel speed. The nodes would communicate with one another (via CAN) to collect data from the vehicle subsystems. The strain sensor node would collect strain points along the frame and suspension components to calculate frame stress. The temperature node would acquire temperature of driveline components including the clutch cover and belt. The Hall Effect sensor node would collect two RPMs to calculate clutch ratios. Expandability will be built into this system so that more sensors and nodes can be added to the DAQ unit for future race data collection. This project encompasses aspects of software, electrical, and mechanical engineering. Mechanical for the design and implementation of strain gauges, enclosures, and fixtures. Electrical for wire harness assembly/routing, and PCB design for sensor nodes and the main control node. Lastly, Software, to control the communication and data acquisition of the sensor nodes. For more background, see Project Readiness Package. |
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Team Members
Member | Role | Major | Contact |
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Amanda Vallat | Project Manager, Software Specialist | Electrical Engineering | aev6332@rit.edu |
Odysseus Adamides | Lead Engineer, Hardware Specialist | Electrical Engineering | oaa8092@rit.edu |
Ross Erwin | Purchasing, Driveline Sensor Node Lead | Electrical Engineering | rae1950@rit.edu |
Joseph Green | Communications, Frame Sensor Node Lead | Electrical & Mechanical Engineering | jag2138@rit.edu |
Work Breakdown: By Phase
MSD I & II | MSD I | MSD II |
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Integrated System Build & Test Customer Handoff & Final Project Documentation (Verification & Validation) |
Acknowledgements
Thank you to George Slack, Mark Indovina, Carlos Barrios, Aaron Reay, Nathan Mckerely, Sarilyn Ivancic, and Forrest Sheard.