Brake System Design

2023 SAE Baja Car at Endurance After Passing Brake Check

Introduction

As the sole brakes engineer for TAMU Baja, I designed, manufactured, and tested a reliable, lightweight braking system for use in the 2023 vehicle.

Design Philosophy

At the beginning of the season, I helped establish a design philosophy to guide all team members as they make engineering compromises throughout the season.

Throughout the season, I referenced this guide to ensure I was creating a system in accordance with the agreed-upon vision for the car.

Braking Force Calculations

As the balance and strength of the braking system are a product of many design choices, I constructed an Excel Braking Calculator to ensure my design would be able to lock all four tires as I experimented with design changes.

Braking Force Calculations

From the data shown above, the calculator would create a brake proportioning plot.

Brake Proportioning Plot

As the brake designer, my objective is to design a system that is balanced such that the ‘Proportioning’ line points straight at the intersection of the ‘Lock’ lines. As well, it must provide enough mechanical advantage so a driver can reach this wheel lock with reasonable pedal force.

To help understand how to read these figures, some examples of proportioning plots for different systems are shown below.

Pedal Configuration

For the brake pedal configuration, I considered two main options: top mounted with linear master cylinders, and bottom mounted with pivoting master cylinders.

Top and Bottom Mounted Pedal Configurations

To help me choose between these, I constructed a decision matrix based on the overall team design philosophy. In this matrix, categories that could be numerically justified such as Mass, CG, and Logistics (which was based on cost) had normalized scores based on sample designs for each configuration. Other scores were chosen based on empirical research and intuition.

Pedal Configuration Decision Matrix

As shown, the matrix resulted in the selection of a bottom-mounted pedal.

Component Selection

The selection of master cylinder model was quite easy, as options for pivoting master cylinders required by my design are limited. Ultimately, the Tilton 78-Series master cylinders were chosen for their quality and availability of product information.

Tilton 78-Series Master Cylinder

The calipers chosen were the Wilwood GP200. These were preferred to the PS-1 calipers used by previous teams because they were lighter and offered larger bore diameter options.

Wilwood GP200 Caliper

For the selection of master cylinder and caliper bore diameters, I chose the smallest master cylinder diameter and largest piston bore diameter to maximize my hydraulic advantage. This allows me to reduce the size of my pedal and rotors for easier packaging while still maintaining sufficient braking strength.

Rotor Thermal Simulations

Because the frictional coefficient of the brake pads, and consequently braking force, is dependent on temperature, I performed some thermal simulations to estimate my rotor temperature (roughly equal to the pad temperature).

Simulated Thermal Distribution

For these simulations, I calculated the heat power needed to slow the car from straight-line speed to cornering speed based on the linear and angular momentum change from this deceleration, then subtracted the work done by rolling resistance. To estimate the convective coefficient, I used a flat-plate correlation equation from “The Fundamentals of Heat and Mass Transfer” along with the average center velocity of the disc. The bulk temperature was chosen to be 60 Fahrenheit based on typical weather in Woshugal MX Park where the vehicle would compete. Finally, I found the time required to perform this deceleration based on my braking force calculations.

For the numerical simulation, I applied the heat power for the time needed to slow the car and allowed 5-second cooling intervals between. I then selected a node in the friction surface region to generate a Temperature Vs Time Curve. In this plot, the friction surface converges to a temperature of approximately 420 Fahrenheit.

Simulated Rotor Temperature Over Time

Although many assumptions were made for this simulation, my resulting coefficients and temperatures were all within a reasonable range based on other thermal simulations and tests of Baja SAE brakes.

Comparing the convergence temperature of 420 Fahrenheit with the Friction Coefficient Vs Temperature data for my selected brake pad suggested that I could nearly maximize the friction potential

Friction Coefficient Vs Temperature of My Chosen Brake Pad

Manufacturing & Testing

Brakes BOM
Waterjet and Surface Ground Brake Rotor
Weight Tracking
All Wheels Locking at Initial Testing
Successfully Passing Brake Tech on First Attempt

Off Road Suspension Force Calculations

After a promising review of my braking system design during the SAE Baja design season, the team leaders saw my potential for further involvement. They entrusted me with a crucial task: analyzing the forces within the suspension links to assist the designers. I tackled this challenge head-on with a methodical approach, First simplifying the suspension system of each corner into a quarter-car model.

Quarter Car Model

From this model, I developed a free-body diagram (FBD) and equations of motion (EOMs) for each suspension corner.

I then wrote a Python script that implemented Euler integration to solve these EOMs, determining the position of both sprung and unsprung masses at each time step. This, in conjunction with the tire’s spring rate, allowed for the calculation of forces exerted on the wheel under various bump scenarios.

While time and budget constraints within the Baja SAE competition made physical testing of my code before vehicle design impossible, I was committed to achieving meaningful validation. To do so, I sought the expertise of Chris Bachman from Cal State, who had previously conducted similar calculations for a Baja SAE vehicle and successfully correlated them with strain gauge testing. His results demonstrated a strong agreement between calculated and measured forces on the track, providing a valuable benchmark. To establish consistency with his findings, I ran a simulation using the vehicle parameters from his research, yielding similar results. This cross-validation, even in the absence of direct physical testing, instilled confidence in the accuracy and reliability of my code.

Having established the wheel forces, the next step was to dissect their distribution through individual suspension links. To accomplish this, I employed Skyciv, a structural analysis software.

Skyciv Structural Model

Despite its primary application in civil engineering, Skyciv’s low solve time and ease of setup for 1D beam elements made it well-suited for finding the stress distribution throughout the suspension system as a whole.

The resulting force data at each pickup point allowed the suspension designers to execute solid body FEA (Finite Element Analysis). This validated the strength of their links and informed their design decisions, ultimately contributing to the team’s success in the Baja SAE competition.