Document Type

Undergraduate Project

Date of Degree Completion

Spring 2024

Degree Name

Bachelor of Science

Department

Engineering Technology

Committee Chair

Charles Pringle, PE

Second Committee Member

Dr. John Choi

Third Committee Member

Mr. Chris Berkshire

Abstract

The RC Baja project aims to develop a high-performance RC vehicle for Baja-style racing through a comprehensive design, manufacturing/prototyping, and testing. The objective is to address engineering challenges related to ensuring durability, efficiency, and performance while navigating rugged terrains and obstacles.

To achieve this objective, the engineers conduct extensive research to guide the design process, with a specific emphasis on the drivetrain and chassis components. Detailed CAD modeling is utilized to refine the design of the drivetrain, incorporating elements such as gear ratios, differential systems, and torque distribution to enhance power delivery and traction. Similarly, the chassis design prioritizes factors such as weight distribution, ground clearance, and structural integrity to withstand the stresses encountered during aggressive off-road driving.

The implementation of engineering principles yields promising results in both the drivetrain and chassis components. Testing reveals the function of the vehicle to meet expectations and requirements which allow the engineers to compete in the ASME Baja competition. The drivetrain design demonstrates improved efficiency, maximizing power transfer to the wheels and minimizing energy losses. This resulted in a top speed of 30 mph. Similarly, the chassis design enhancement results in increased durability and responsiveness, allowing the vehicle to withstand impacts and rough terrain while maintaining agility and control. This resulted in a deflection of less than 1/8 of an inch. Overall, the project’s focus is on refining the drivetrain and chassis components which contributes to the development of a high-performance RC Baja vehicle capable of excelling in competitive off-road racing scenarios.

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