Limited In-House CAE Resources: Outsource FEA | Formivis
What Limited In-House CAE Resources Actually Cost a Program
Limited in-house CAE resources is the capacity gap that opens when an engineering organization's simulation demand — queued load cases, unverified design iterations, pending failure investigations — exceeds the analysts, solver licenses and compute hardware it owns. The symptoms are familiar to any R&D director or CAE lead: models wait days for a workstation to free up, design decisions are made on the previous iteration's analysis because the current one has not run, and verification work such as mesh convergence studies is quietly cut first because it consumes solver time without producing a new result.
The cost shows up later and larger. When simulation capacity is short, verification moves to the physical testing stage, where a design change costs tooling, fixtures and schedule rather than CPU hours. ASME V&V 10, the standard for verification and validation in computational solid mechanics, frames model credibility as something that must be established deliberately — a process that assumes enough compute and analyst time to do convergence studies, sensitivity checks and validation comparisons. A team in a permanent capacity crunch cannot run that process consistently, and the credibility of every downstream decision inherits the shortfall.
The Real Bottlenecks: Hardware, Solver Platforms and Specialist Hours
The gap is rarely one thing; it is three constraints that bind together.
Compute capacity is the visible one. Nonlinear contact analyses, explicit dynamics and coupled multiphysics runs scale from hours to days, and a workstation fleet sized for average load cannot absorb peak load. Solver platforms are the licensed one: in practice, industrial FEA runs on platforms such as Ansys Mechanical, Abaqus/Standard and Abaqus/Explicit, MSC Nastran or COMSOL Multiphysics, and each physics module — fatigue, creep, fluid-structure interaction — is typically licensed separately. A small team rarely holds the full matrix. Specialist hours are the least visible constraint: creep assessment, fatigue crack growth analysis per ASTM E647 data and fluid-structure interaction are distinct specialties, and one generalist analyst cannot cover all of them at production depth.
This is why the buy-versus-build question keeps returning. Hiring adds fixed headcount for what may be a peak-load problem; buying licenses and hardware adds fixed capex plus maintenance for modules used a few weeks per year. Project-based outsourcing converts the same capability into a variable, scoped cost — but only if the vendor's capacity, software scope and validation discipline are real, which is exactly what a buyer should verify before the first purchase order.
Outsourced FEA at Formivis: 15 Workstations and Six Platforms (Profile-Reported)
According to the FEA simulation capability profile on the Formivis site, the service runs on 15 networked CAE workstations and six simulation software platforms, delivered as a project-based consulting engagement from modeling through reporting. The listed analysis coverage is static, dynamic, nonlinear and multiphysics, spanning structural analysis, failure analysis, fatigue, crack growth, creep, thermal stress and fluid-structure interaction. All of these figures come from the company's internal technical brief and are profile-reported; the site does not disclose the names or versions of the six software platforms, the hardware configuration of the workstations, or engineer credentials such as PE licensure — each of which is a legitimate RFQ question, and a serious vendor should answer them without hesitation.
| Evaluation dimension | Hire in-house analysts | Buy licenses and hardware | Project-based FEA at Formivis (profile-reported) |
|---|---|---|---|
| Compute capacity | Bounded by owned workstations | Bounded by purchased cores and HPC nodes | 15 networked CAE workstations |
| Software scope | One license stack per physics | Modules licensed individually, capex plus annual maintenance | Six simulation platforms; brands not disclosed |
| Analysis coverage | Limited to hired specialties | Limited to purchased modules | Static, dynamic, nonlinear, multiphysics across 7 listed types |
| Physical validation path | Separate lab contract | Separate lab contract | Model-to-evidence loop with a partner lab: 1000 kN universal testing machine, −80 to 1600 °C chambers |
| Cost structure | Fixed headcount | Fixed capex plus maintenance | Per-project scope; no public price list |
The honest read of this table: outsourcing does not remove the need for due diligence, it relocates it. The buyer trades a staffing problem for a vendor-qualification problem — and vendor qualification is the cheaper problem when the evaluation checklist is explicit.
Closing the Loop: From Simulation Model to Physical Evidence
Formivis's stated differentiator is not the workstation count; it is the insistence that analysis results be tied to physical test evidence — a "simulation predicts, testing verifies" loop. The site describes a university-supported laboratory platform equipped with two five-axis machining centers, additive manufacturing capability, a 1000 kN universal testing machine and environmental chambers spanning −80 to 1600 °C, again profile-reported with partner-lab ownership and accreditation details not disclosed.
This matters because validation is where outsourced FEA usually fails organizationally, not technically. A simulation-only vendor delivers a report; correlating that report against a measured tensile test per ASTM E8, a crack growth rate test per ASTM E647, or a fatigue dataset analyzed per ISO 12107 requires a second contract, a second supplier and a coordination burden that lands back on the buyer. When one engineering organization runs both the model and the test, the loop shortens: the FEA result defines what to instrument, the test data updates the model, and the validated model supports the next design iteration. Our earlier overview of the simulation-to-evidence workflow describes this chain in more detail, and the physical validation capability page lists the test platform scope.
How to Scope an Outsourced FEA Project
Scoping quality determines outcome quality. Consistent with the guidance on the Formivis site, a buyer should be ready to provide a non-confidential task description first, then geometry and the allowable design space, loads, materials and boundary conditions, and — critically — the acceptance criteria the analysis must satisfy. Before issuing a purchase order, ask four questions: which named software platform and version will run each analysis type; what the verification plan is, including mesh convergence and numerical error estimation; how validation against physical test data will be executed and documented; and who owns the models, meshes and results after delivery. A vendor that answers these four questions cleanly has already passed the hardest part of qualification.
Checklist
• Inventory your queued and recurring analyses by physics type, and estimate the analyst-hours and solver-hours each type consumes per quarter.
• Require the vendor to name the software platform, version and license basis for every analysis type in scope — "six platforms" is a capacity claim, not a qualification.
• Write a V&V plan into the statement of work: mesh convergence criteria, verification evidence, and the physical test datum each model must correlate against.
• Confirm the validation path before modeling starts — which tests (for example, on the 1000 kN universal testing machine or in the −80 to 1600 °C chambers) will verify which predictions.
• Fix intellectual property ownership and confidentiality terms before transferring native CAD or material data.
Questions
When should I outsource FEA instead of hiring another analyst?
Outsourcing fits when demand is peaky, when the needed physics (creep, crack growth, fluid-structure interaction) sits outside your team's specialties, or when the schedule cannot absorb recruiting lead time. Hiring fits when simulation load is steady, confidential and core to your product differentiation. Many organizations run a hybrid: a small in-house team for routine analyses and a scoped external service for overflow and specialist work.
Are the 15 workstations and six software platforms independently verified?
No. These figures come from Formivis's internal technical brief and are profile-reported; the site does not name the platform brands, workstation configurations or engineer certifications. Treat them as capacity claims to be confirmed during qualification — ask for the platform names and versions, representative project references, and the verification and validation documentation practice in writing.
Which analysis types can be outsourced to a project-based FEA service?
Per the Formivis site profile, the service covers static, dynamic, nonlinear and multiphysics analysis, including structural and failure analysis, fatigue, crack growth, creep, thermal stress and fluid-structure interaction. As with any vendor, coverage on a list is not depth in practice; ask for an example deliverable in your specific analysis type before committing to a scoped project.
How does outsourced simulation connect to physical testing?
In the Formivis model, the same engagement links the simulation to a partner laboratory platform — machining, additive manufacturing, a 1000 kN universal testing machine and −80 to 1600 °C environmental chambers, all profile-reported. The intent is a closed loop: the model predicts, an instrumented test measures, and the measured data updates the model, so the final deliverable is validated evidence rather than an unverified contour plot.
Sources
• ASME V&V 10-2019, Standard for Verification and Validation in Computational Solid Mechanics — asme.org
• ASTM E647, Standard Test Method for Measurement of Fatigue Crack Growth Rates — astm.org
• ASTM E8/E8M, Standard Test Methods for Tension Testing of Metallic Materials — astm.org
• ISO 12107, Metallic materials — Fatigue testing — Statistical planning and analysis of data — iso.org
• NAFEMS, simulation governance and V&V resources — nafems.org
• Formivis site capability profiles: FEA simulation and physical validation (internal technical brief, profile-reported) — formivis.com
If limited in-house CAE resources are delaying your program, send us a non-confidential task description — geometry class, loads, materials, boundary conditions and the acceptance criteria you need to satisfy — and we will respond with a scoped proposal. Contact the Formivis engineering team to start the conversation.