# Formivis Engineering — technical reference

Source: Technical Capabilities — External Presentation (技术能力介绍-对外展示版(6).pdf), 2026-08. Reviewed 2026-09-15.

Figures retain their source-specific scope. This reference and the visible website are generated from the same content.

## AI agents, CAD automation & enterprise workflows

/cad-automation/

Custom AI agents connect CATIA parametric design, RAG knowledge bases and MCP/API tools to real engineering workflows, with private or edge deployment and ongoing support.

From process decomposition to deployment, Formivis connects an agent to the knowledge, tools and business systems needed to complete a defined task. The supplied profile describes delivered applications in CAD design automation, fixture design and aerospace structures, combining software agents with equipment-development capabilities.

- Engineering-tool integration: CATIA. Parametric modeling and design-process automation.
- Knowledge and tool access: RAG + MCP. Retrieval, Function Calling and single- or multi-agent orchestration.
- Deployment options: Private / edge. Local enterprise deployment and edge integration, scoped to the data boundary.
- End-to-end engineering: 5 stages. Process review → knowledge/tools → orchestration → integration → evaluation and operation.

### AI + CAD design automation

Drive parametric modeling and repeatable design steps in CATIA. Connect fixture-design rules with the team’s structural design and topology-optimization capabilities.

### Enterprise agents that use tools

Combine enterprise knowledge retrieval, Function Calling / MCP tools and workflow orchestration to plan tasks and operate authorized business systems.

### Document and quality-data workflows

Process documents, generate reports, answer enterprise knowledge questions and analyze inspection or test data. Deliver useful outputs inside the current business process.

### From process to operation

| Stage | Engineering work |
| --- | --- |
| Requirements | Map the business process and define automation boundaries. |
| Knowledge & tools | Connect RAG knowledge bases and MCP / API tools. |
| Agent workflow | Build single-agent or multi-agent orchestration. |
| Integration & deployment | Connect business systems; configure private, local or edge deployment. |
| Evaluation & support | Evaluate output quality; iterate and maintain the application. |



### Fixture and tooling design — Profile-reported application

Automate repetitive parameter changes and defined design steps while engineers own the rules and release review.

### Engineering knowledge and reports — Application context

Turn reusable technical knowledge and inspection/test outputs into searchable answers and repeatable reports.

### Development status and scope

Delivered agent applications are described in the profile. LoRA domain adaptation for Qwen / Llama and dedicated enterprise-model training are on the development roadmap; they are not presented as completed releases.

The profile reports engineering deployment experience but gives no measured percentage of time saved. CAD compatibility, data residency boundaries and output acceptance are defined for each integration.

Source pages: 3.

## Feature-driven topology optimization

/topology-optimization/

Optimize CAD-linked feature shape, position and orientation, with isogeometric analysis for stiffened plates and shells. The profile reports ≥90% fewer design variables and ≥10× computational efficiency for complex 3D optimization.

Feature-driven topology optimization brings engineering features into modeling, analysis and optimization together. Instead of optimizing an unstructured result that must be rebuilt manually, the method works with CAD-associated design variables. For stiffened plates and shells, it couples opening shape, topology, surface form and stiffener arrangement.

- 3D optimization efficiency: ≥10×. Profile-reported computational efficiency improvement for complex 3D structures.
- Fewer design variables: ≥90%. Reported reduction in the scale of design variables.
- Lower CAD-to-manufacturing handoff cost: ≥80%. Applies to the design/manufacturing interface and reconstruction work; not total product cost.
- Surface continuity: G1 / G2. Smooth optimized boundaries and CAD-compatible geometry.
- Design flexibility improvement: ≥50%. The profile describes flexibility and adaptability of the design space; this is not a structural degrees-of-freedom count.
- Stiffened-shell optimization efficiency: ≥5×. Reported improvement for joint optimization of openings, topology, surface form and stiffeners.
- Stiffened-shell analysis error: ≤1%. Profile-reported analysis accuracy for the described isogeometric method; benchmark details are not supplied.

### Direct control of engineering features

Optimize feature shapes, positions and angles while retaining a connection to the CAD model. The value is a shorter route from an optimization result to an editable engineering geometry.

### Smooth geometry for additive manufacturing

G1/G2-continuous boundaries support geometric usability and additive-manufacturing workflows. The profile claims elimination of post-processing; project review must define geometry reconstruction separately from physical finishing.

### Coupled plate and shell design

Use isogeometric analysis to explore openings, surfaces and stiffener layouts together, addressing coupled choices that are difficult to optimize independently.

### Thermal structures and 3D channels — Application context

Explore heat-dissipation structures and integrated three-dimensional flow-channel layouts. These are illustrated application directions in the profile.

### Robotics and machine tools — Application context

Study robot-joint stiffness and inertia, machine-tool columns and beds, and the distribution of material around the load path.

### Lightweight transport structures — Application context

Explore stiffened aerospace panels, vehicle subframes and battery enclosures against defined load and manufacturing constraints.

### Structures across industries — Application context

Potential contexts include civil structural nodes, implants and fixation parts, energy equipment, sports products and micro- or nano-scale optical structures. Suitability is assessed by application.

### Development status and scope

The profile presents a developed feature-driven optimization capability. Its application illustrations indicate possible uses; they are not a list of Formivis customer projects.

Reported improvements come from the supplied technical profile. Baseline geometry, hardware, solver settings and sample-level benchmark records are not included; agree those conditions for a like-for-like project comparison.

Source pages: 5, 6.

## Machine vision inspection for production lines

/vision-inspection/

Custom optics, mechanical integration, algorithms and software for production-line inspection. The nonwoven case reports up to 15 m/s, a minimum defect area of 0.25 mm² and a missed-defect rate below 0.1%.

Formivis develops the complete inspection chain: optical design, mechanical structure, detection algorithms and software. The profile describes three concrete applications, spanning surface-defect detection and automated physical-performance inspection.

- Inspection speed, up to: 15 m/s. Reported for the nonwoven production-line inspection case.
- Minimum detectable defect area: 0.25 mm². An area threshold in the nonwoven case, not a 0.25 mm linear resolution.
- Missed-defect rate: <0.1%. Reported for the nonwoven case; the profile does not disclose the full test sample or denominator.
- Production-quality applications: 3 cases. Nonwoven defects, TPU tyre black spots and pickleball rebound height.

### Remove the background pattern

A proprietary algorithm suppresses the dot-pattern background of nonwoven material so insects, oil stains and tears can be distinguished from the substrate.

### Match the production process

Develop optics and mechanical mounting together with algorithms and the software interface, so the system fits the line’s pace and installation conditions.

### Measure behavior as well as appearance

High-speed imaging extends inspection from visible blemishes to rebound-height measurement and individual quality reports.

### Inspection applications and outputs

| Application | Target / measurement | Output described |
| --- | --- | --- |
| Nonwoven production line | Insects, oil stains, tears and other defects after background-pattern suppression | Online defect identification; production-line testing reported. |
| TPU tyre production | Black spots and related surface defects | Real-time online inspection for production consistency. |
| Pickleball quality control | Highest rebound point after a fixed-height drop | Automatic apex identification and a per-ball quality report. |



### Nonwoven fabric defect inspection — Profile-reported case

The profile reports production-line validation at up to 15 m/s with a 0.25 mm² minimum defect area and <0.1% missed defects. Width, contrast and defect-class acceptance belong in the line-specific scope.

### TPU tyre black-spot inspection — Profile-reported case

An online real-time system identifies black-spot defects on a TPU tyre production line. The profile provides no transferable defect-size or speed figure for this case.

### Pickleball rebound-height QC — Profile-reported case

A high-speed camera follows a fixed-height drop, identifies the rebound apex and generates a quality report for each ball. Measurement tolerance is agreed during system scoping.

### Development status and scope

The supplied profile reports production-line testing for nonwoven inspection and a novelty-search assessment by the CAS Shanghai Science & Technology Novelty Search Consulting Center. The underlying report is not included; this is not presented as a product-performance certification.

The three numerical detection figures belong to the nonwoven case. They should not be transferred to TPU, pickleballs or another material without a representative sample and line evaluation.

Source pages: 7.

## Finite element analysis & simulation

/fea-simulation/

Static, dynamic, nonlinear and multiphysics analysis, including fatigue, crack growth, thermal stress and fluid–structure interaction. The profile lists 15 networked CAE workstations and six simulation software platforms.

Simulation is organized around explaining the physical behavior of a product under its service conditions. Formivis combines structural response, failure mechanisms and coupled physics, using physical experimental data as the intended final validation reference.

- Networked CAE workstations: 15. High-performance computational platform listed in the profile.
- Listed software platforms: 6. Abaqus, Ansys, Ansys Fluent, Ansys LS-DYNA, Zencrack and Optimus.
- Structural response: Static + dynamic. Linear elasticity, nonlinear response, modal, harmonic and transient-impact analysis.
- Thermal and fluid interaction: Coupled physics. Thermal stress/deformation and fluid pressure interacting with structures.

### Structural response under real loads

Analyze linear-elastic response, geometric and material nonlinearity, modal behavior, harmonic response and transient impact.

### Explain how failure develops

Investigate contact, fatigue life, crack propagation, plastic deformation and creep to connect initial damage with the eventual failure mechanism.

### Connect interacting physics

Model thermal–structural effects such as thermal stress and deformation, and fluid–structure interaction where fluid pressure changes structural response.

### Software and computational platform

| Platform | Listed scope |
| --- | --- |
| Abaqus | Finite element structural and coupled-field analysis. |
| Ansys | General structural and dynamic analysis. |
| Ansys Fluent | Fluid and flow-field analysis. |
| Ansys LS-DYNA | Transient impact and dynamic analysis. |
| Zencrack | Crack propagation, fatigue, creep and damage simulation. |
| Optimus | Multidisciplinary optimization and design integration. |
| 15 networked CAE workstations | High-performance computing for engineering analysis. |



### Structural displacement and load paths — Application context

Compare displacement, stiffness and stress concentration to inform a geometry or material decision.

### Thermal damage and melt-through — Profile illustration

The profile illustrates laser melt-through simulation as an example of a coupled thermal and structural analysis topic.

### Reliability and failure investigation — Application context

Use fatigue, crack-growth, contact and creep studies to explain a failure or scope a follow-up physical test.

### Development status and scope

The profile describes physical test data as the final validation standard. The evidence used in a particular report must be identified in that project’s scope.

Analysis outputs, validation data and software access are agreed per project. The listed platform is a capability inventory, not a blanket certification of every simulation result.

Source pages: 8.

## Machining & extreme-environment mechanical testing

/physical-validation/

Prototype machining and static, dynamic and extreme-environment testing through a university-supported laboratory platform, including two five-axis machining centers, 1000 kN materials testing and a listed −80 to 1600°C component chamber.

Four connected platforms support a route from analysis to a machined specimen and measured response: computational analysis, machining, static/dynamic mechanical testing, and extreme-environment equipment with signal acquisition. The source describes access through a university laboratory platform.

- Five-axis machining centers: 2. Listed platform inventory for precision metal machining.
- Universal materials testing: 1000 kN. Tension, compression, bending and shear; extended stroke accommodates environmental testing.
- Component chamber temperature range: −80 to 1600°C. Listed for the component static-environment chamber; not the range of every test system.
- Impact tester energy: 150–300 J. Listed equipment range for dynamic impact loading.

### Machine the specimen and fixture

Combine five-axis machining, sheet-metal bending, industrial 3D printing and wire EDM with the specimen and fixture requirements of the test plan.

### Characterize static and dynamic behavior

Connect materials testing, fatigue, vibration, creep and dynamic mechanical analysis to the load cases used in design and simulation.

### Capture response in demanding conditions

Pair environmental equipment with optical or bonded strain measurement, laser displacement and high-speed imaging as appropriate for the specific test configuration.

### Machining platform inventory

| Equipment | Quantity | Application |
| --- | --- | --- |
| Five-axis machining center | 2 | Precision metal machining |
| Stainless-steel bending machine | 2 | Sheet-metal forming |
| Industrial 3D printer | 1 | Additive manufacturing |
| Wire EDM | 1 | Precision cutting |
| Bench drill | 2 | Drilling |
| CNC tapping machine | 1 | Thread production |
| CNC machine tool | 1 | General machining; type not specified |
| CNC milling machine | 1 | Milling |
| Welder | 1 | Welding |
| Grinder | 2 | Grinding |



### Static and dynamic testing

| Equipment | Listed rating / capability | Engineering use |
| --- | --- | --- |
| Universal materials tester | 1000 kN | Tension, compression, bending and shear |
| Impact tester | 150–300 J | Dynamic impact loading |
| R10 light-gas gun | 50–600 m/s | High-speed material and structural impact characterization |
| R50 light-gas gun | 0–50 m/s | High-momentum structural impact characterization |
| Vibration table | 18-tonne rating; 1–5000 Hz | Vibration simulation; the source does not define the 18-tonne force/load convention |
| Small/mid seismic and vehicle vibration tables | Multidirectional and coupled vibration | Structural foundations and vehicle uneven-road response |
| Split Hopkinson pressure bar | High-strain-rate characterization | Material constitutive and damage-response characterization |
| DMA analyzer | Static, dynamic and thermal parameters | Metals, composites and polymers under temperature conditions |
| Creep tester | Service-environment creep | Metals and composites |
| High-frequency environmental fatigue system | 0–20 kN / 0–50 kN; 0–10000 Hz | Tensile, bending and axial vibration testing; configuration-specific ranges |
| Vibration fatigue bench / dynamic tensile machine / MTS fatigue machine | 1 of each | Fatigue and dynamic mechanical testing |

Equipment limits are listed individually. Simultaneous load, frequency and temperature capability must be confirmed for the selected setup.

### Environmental equipment

| Equipment | Source-listed scope |
| --- | --- |
| Component static-environment chamber | −80 to 1600°C; chamber notation “400×R50” |
| Structural static-environment chamber | Chamber notation “800×R400” |
| Extreme-environment fatigue chamber | Fatigue testing under environmental conditions |
| Humidity / salt-spray chamber | Corrosion-environment testing |
| Closed-loop high-speed impact loading equipment | Thermal-impact loading capability |

The chamber dimension notation is preserved from the source; units and the meaning of R require confirmation before specimen design.

### Signal acquisition

| System | Measured information |
| --- | --- |
| Non-contact optical acquisition | High-temperature stress / strain |
| High-temperature bonded strain system | Bonded strain signals |
| High-speed strain sensor system | Strain and acceleration under demanding dynamic conditions |
| Laser displacement sensing | Vibration displacement |
| High-speed camera system | Impact imagery |
| Conventional vibration acquisition | Vibration, displacement, velocity and acceleration |



### Computation and software inventory

| Resource | Quantity in profile |
| --- | --- |
| Networked high-performance CAE workstations | 15 |
| GPU / graphics computing workstation | Quantity not specified |
| High-performance displays | 2 |
| Networking and parallel-computing components | 1 set |
| Abaqus, Ansys, Ansys Fluent, Ansys LS-DYNA, Zencrack, Optimus | 1 set each |



### Prototype-to-test development — Application context

Machine specimens and fixtures, define measurement channels and compare measured response with the original engineering assumptions.

### Materials in extreme environments — Application context

Study temperature-dependent response, fatigue or creep using an agreed specimen geometry and compatible equipment combination.

### Equipment vibration and durability — Application context

Evaluate structural vibration and fatigue for transport equipment, bearings, mining machinery and civil structures within the selected platform’s scope.

### Development status and scope

The platform inventory is reported as university-supported laboratory access. Equipment booking, calibration status, commercial access and report requirements are confirmed when the program is scoped.

The profile does not establish laboratory accreditation or certified-report scope. Listed ratings are equipment-specific and do not imply every maximum is available simultaneously.

Source pages: 9, 10.