Mechanical
structures · mechanisms · thermal · fluids
- loads and stiffness
- fatigue
- heat paths
- flow
- kinematics
Hardest problem
Tolerance stacks and fatigue life, where small errors compound over thousands of cycles.
Engineering
A user should eventually be able to start with “I want to build this.” Terranoux is being built to carry that intent through the engineering work required to make it real.
From one sentence
Understand
Design
Model and test
Build
Close the loop
The loop
Turn intent into requirements and constraints.
What must the thing do, in what environment, for how long, at what cost? Vague intent becomes measurable requirements, and the requirements that conflict are surfaced early.
Generate and compare engineering approaches.
Several architectures, not one. Each is compared against the requirements on performance, risk, cost and how hard it will be to make.
Represent geometry, materials, components and system behaviour.
The chosen design becomes geometry, material assignments, component selections and behavioural models, all linked back to the requirements they serve.
Test ideas computationally before spending physical resources.
Structural, thermal, fluid, electrical and dynamic analysis where credible models exist. Failures found here are cheap.
Run targeted physical experiments where simulation is insufficient.
When the model is uncertain, a small, bounded experiment answers the specific question. Not a full prototype, just the measurement that matters.
Produce testable physical iterations.
A physical build made with the process closest to production that the stage allows, so what is learned carries forward.
Measure whether the system actually meets its requirements.
Every requirement from the first stage is tested against the physical result. Passing simulation is not passing validation.
Translate the validated design into a repeatable production process.
Processes, tooling, tolerances, bill of materials, suppliers and quality control, so the thousandth unit matches the one that was validated.
Reasoning across
Engineering decisions are rarely about one domain. The value is in holding all of them at once.
Not just generation
Generating a plausible design is the easy part. A physical system has to survive all of this, and the only way to know is to check: simulation, tools, experiments, measurements and iteration.
Physics
loads, dynamics, energy
Tolerances
stack-ups, fits, clearances
Material behaviour
yield, creep, fatigue
Heat
dissipation, expansion, derating
Force
impact, vibration, contact
Wear
friction, abrasion, life
Manufacturing
process limits, access, cost
Cost
materials, labour, volume
Testing
the result that settles it
Example workflow · illustrative
One hypothetical project through all eight stages, including the part where testing proves the first design wrong.
Intent
Illustrative example
“A portable inspection platform for rough terrain. One person should be able to carry it.”
One sentence of intent. Everything that follows has to trace back to it.
No such vehicle has been built. Values show the kind of reasoning involved.
One connected representation
Requirements, design decisions, models, simulations, experiments, components, cost and manufacturing are linked. That is the difference between a reasoning system and a folder of files.
Change one constraint
Pick a change. A connected model can trace what it affects. A pile of separate files cannot.
Illustrative. Uses the example inspection vehicle from the homepage.
Where Terranoux can go
Directions the engineering model is being designed to cover. None is offered as a supported capability today.
structures · mechanisms · thermal · fluids
Hardest problem
Tolerance stacks and fatigue life, where small errors compound over thousands of cycles.
electronics · power · controls · embedded systems
Hardest problem
Keeping electrical, thermal and mechanical models consistent as a board changes.
selection · properties · fabrication · testing
Hardest problem
Published properties rarely match the part that comes out of a specific process.
processes · tooling · tolerances · assembly
Hardest problem
Knowing what a specific machine, shop or supplier can actually hold, not what a catalogue says.
mechanisms · sensing · control · physical interaction
Hardest problem
Contact and friction, where simulation and reality diverge fastest.
A design is only an idea until reality agrees.