FORMULA SAE · THE OHIO STATE UNIVERSITY

OUTBOARD DRIVE.
DESIGNED TO ADAPT.

I designed this compact coaxial drivetrain to package the motor and compound planetary gearbox inside the wheel. I then built the MATLAB, Inventor, and iLogic workflow that lets me explore and update the design without rebuilding it by hand.

CONFIGURATION EXPLORER

EXPLORE THE DESIGN SPACE

Use the slider and camera controls to see how the assembly changes as I move between valid designs.

AUTOMATED INVENTOR OUTPUT
CONFIGURATION 14 / 64
VIEW 1 / 5
LOADING COMBINED CAD VIDEO
PARAMETRIC CAD VIEW
CONFIG 14 · VIEW 1 · 1×
CONFIGURATION14
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CAD INSPECTION

SEE HOW IT FITS TOGETHER

I use consistent views and motion studies to compare each design and understand the complete assembly.

LOADING CONFIGURATION SNAPSHOT
CONFIG 14 · VIEW 1
SELECTED VIEW

CONFIGURATION

Compare the selected design from five consistent angles.

CURRENT DESIGNSWITCH VIEWS
MODEL STATES

ONE ASSEMBLY.
DIFFERENT JOBS.

I built dedicated states for system review, gear design, and manufacturing preparation.

HOW I BUILT IT

ONE CONNECTED DESIGN PROCESS

I built the mechanical system and the tools around it, so each design can move from an idea to a reviewable CAD assembly.

EXPLORE

MATLAB + EXCEL

MATLAB searches gear combinations against ratio, packaging, spacing, and geometry constraints. Valid designs are organized in one controlled table.

BUILD

INVENTOR + iLOGIC

Selecting a configuration updates the gears, housing, bearings, clearances, and model states without rebuilding the assembly by hand.

REVIEW

ENGINEERING OUTPUT

Consistent views, motion studies, calculations, and manufacturing states make each design easier to compare.

Nine inputs and three control features drive more than 100 geometry, performance, validation, and documentation outputs.

SUPPLIER DATA

SKF BEARING INTEGRATION

The bearing is the only purchased component that changes between configurations. MATLAB selects it from SKF data and brings its dimensions into the CAD workflow.

NEXT ITERATION

A CLOSED FEA LOOP

The next step is automated model simplification and FEA, feeding stress, stiffness, and mass results back into the optimizer.