From CAD to Design-Risk Report in Days: What the AutoCAE.AI FEA Agent Does

Ask any hardware team how long a full system-level reliability simulation study takes, and the answer is usually "weeks". Not because the solver is slow, but because a design-risk study is mostly not simulation. It is model preparation, checking, setting up many load cases, running dozens of jobs, post-processing, comparing against limits and writing a report that people outside the CAE team can act on.

AutoCAE.AI builds an FEA AI agent that does that work end to end: CAD in, design-risk report out -- in days instead of weeks, with an experienced engineer in charge.

The Problem: Ten Load Cases, Dozens of Runs, One Slip

A consumer-electronics product is typically assessed under ten or more load cases: drops in many orientations, ball impacts, stiffness, thermal-mechanical effects, module shock, vibration and more. Each case needs its own setup, its own checks and its own post-processing.

Three things make this hard:

Volume. Dozens of simulations per design, and the design changes every few weeks.
Fragility. One modelling slip -- a missing connection, a wrong material assignment, a part constrained twice -- may only show up after the runs, wasting the entire batch.
Inconsistency. Different engineers use different layouts, different limits and different wording. Results are hard to compare between designs and hard to trust across teams.

The agent addresses all three: it automates the repetitive work, enforces the rules mechanically, and produces the same report structure every time.

How the Agent Works: One Chain, Engineers at the Gates

The agent runs a structured chain of steps. Between them sit human gates: points where the engineer reviews and approves before the work continues. The agent does the heavy lifting; the engineer decides anything that changes the model, a contact, a load case or a criterion.

1. Plan with the customer. Every study starts with an agreed plan: which load cases, which conditions, which components matter most, and which failure criteria apply. The plan is the agent's work order -- it reads it and prepares exactly what was agreed.

2. Pre-processing. The CAD is cleaned and simplified where needed, meshed, given materials and connected (bonds, ties, contacts). Simplifications are documented in a ledger so that anyone can see what was changed and why. The engineer approves the treatment of critical parts.

3. Rule checks. Before any job is allowed to start, the model is checked against the modelling rules automatically: mesh quality, connections, material assignments, numbering, required output. If a check fails, nothing runs -- the model goes back to pre-processing. Catching a slip here costs minutes; catching it after a batch costs days.

4. Validation of a single case. One representative case -- for example, a single flat drop -- is run and inspected in detail: energy balance, mass, contact behaviour, numerical health. Only a validated model goes on to the batch. The engineer signs off this step.

5. Batches of load cases on HPC. The validated model feeds all load-case decks. Jobs are distributed over the available compute -- workstations and HPC clusters -- with monitoring, retry logic for known numerical issues, and a structured debug procedure. If a problem persists, the agent stops and calls the engineer rather than guessing.

6. Post-processing in parallel. Results are processed for all cases at once: energy and health checks, maximum values per component, hot-spot pictures, animations, and risk tables in which each component is compared with its failure criterion.

7. Report. The agent writes a consistent, readable report for engineering and cross-functional teams: what was simulated, what is at risk, why, and what could be done about it. Model-integrity details go into a separate internal section for the CAE engineer.

8. Optimization. With the chain automated, design variants -- a thicker wall, a different gasket, a moved support -- can be run through the same steps and compared on equal terms.

Load Cases Covered

The agent assesses system-level probability of failure across the load cases hardware teams typically need:

Oriented drops -- the product dropped in many orientations, risk per component.
Ball impacts -- impact points over glass and display areas, crack risk.
Stiffness -- bending and torsion under user loads.
SRS for critical modules -- shock response spectra at cameras, displays and other sensitive modules.
Rub and buzz -- risk of parts rattling against each other under speaker excitation.
Modal analysis -- natural frequencies and mode shapes.
Thermal-mechanical -- temperature soak, heat sources and CTE mismatch warpage.
System stability -- tip-over of stands and table-top devices.
Yank -- connector and cable pull and side load.
ESC -- environmental stress cracking of plastics under sustained strain.

All load cases share the same model, the same rules and the same report layout -- so the risks are comparable.

Business Value

Fewer physical build iterations. Risks found in simulation before the build are fixed in CAD, where changes are cheap. Each build is more likely to pass, and fewer "fix and rebuild" loops are needed.

Earlier risk discovery. Because a full study takes days, it can be done at concept and pre-EVT -- when the architecture can still change -- instead of after the first test failures.

Consistency. Every design is checked against the same rules and reported the same way. Design A and design B can be compared directly, across engineers, teams and programmes.

Traceability. Every simplification, every check result and every decision is recorded. When a test result differs from the prediction, the trail shows exactly what was modelled and why -- the basis for a sound root-cause discussion.

Engineers focus on judgement. Senior CAE engineers spend their time where it matters: deciding what to model, interpreting mechanisms, discussing trade-offs with design and reliability teams. The repetitive setup, checking and formatting is done by the agent.

Your data, your standards. The agent can run on-premise, on the customer's own machines, so CAD and results stay inside the company. It uses the customer's own reliability standards, material limits and failure criteria -- public standards serve as reference only, never as a substitute for the customer's own requirements.

What the Agent Does Not Do

Being clear about boundaries is part of earning trust:

It does not replace the engineer. Key decisions -- plan, critical simplifications, model validation, criteria -- are human decisions.
It does not replace physical testing. It reduces the number of builds and makes each one more informative; correlation with tests remains essential.
It does not hide problems. When a model cannot be made to run cleanly within a reasonable number of debug attempts, the agent says so and hands over.

Getting Started

A typical engagement starts with one product design and an agreed plan of load cases. The first study establishes the model and the correlation baseline; every following design iteration then benefits from the automated chain.

If your team spends more time preparing and reporting simulations than learning from them, we would like to talk. Visit www.autocae.ai to see how AutoCAE.AI can take your next design from CAD to a design-risk report in days.