3D optimization efficiency
Profile-reported computational efficiency improvement for complex 3D structures.
STRUCTURAL DESIGN Feature-driven design · CAD-connected geometry
Optimize the structure. Keep the geometry useful.
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.
Discuss a part benchmark ↗Technical highlights
The capability, in detail.
Reported capabilities and figures from the supplied technical profile, with their application context.
Fewer design variables
Reported reduction in the scale of design variables.
Lower CAD-to-manufacturing handoff cost
Applies to the design/manufacturing interface and reconstruction work; not total product cost.
Surface continuity
Smooth optimized boundaries and CAD-compatible geometry.
Source: Technical Capabilities — External Presentation · 2026-08 · pp. 5, 6. Source and scope ↓
Engineering overview
Feature-driven topology 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.
Principle & workflow
From design space to useful CAD geometry
InputSet the design space
Define the region where material may be placed, the applied loads and supports, and the manufacturing constraints that the design must satisfy.
ProcessOptimize features
The feature-driven method changes CAD-associated shapes, positions and angles. For stiffened shells, openings, surface form and stiffener arrangement can be considered together.
OutputKeep geometry useful
Compare structural behavior and geometry usability with the baseline. CAD-connected geometry reduces the need to reconstruct an optimization result by hand.
Method
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.
Manufacturing interface
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.
Method
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.
Additional reported figures
| Measure | Reported value | Context |
|---|---|---|
| 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. |
Applications & value
Where the engineering matters.
Application context
Thermal structures and 3D channels
Explore heat-dissipation structures and integrated three-dimensional flow-channel layouts. These are illustrated application directions in the profile.
Application context
Robotics and machine tools
Study robot-joint stiffness and inertia, machine-tool columns and beds, and the distribution of material around the load path.
Application context
Lightweight transport structures
Explore stiffened aerospace panels, vehicle subframes and battery enclosures against defined load and manufacturing constraints.
Application context
Structures across industries
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.
Who it's for
Feature-driven topology optimization
Structural leads and CAE teams developing industrial equipment, robotic components and stiffened structures.
Bring the application, representative inputs and acceptance criteria. We will connect the relevant technology and platform to a defined engineering deliverable.
What we start with
- Geometry and permitted design space
- Loads, materials, boundary conditions and constraints
- Manufacturing process and baseline comparison
What the scope can include
- A defined optimization study
- Comparison of structural performance and geometry usability
- A record of assumptions, constraints and follow-up validation
Before we begin
Common questions
What do the ≥10× and ≥5× figures describe?
The supplied profile reports ≥10× computational efficiency for complex 3D topology optimization and ≥5× collaborative optimization efficiency for stiffened plates and shells. They describe different study scopes.
Does ≥80% mean an 80% reduction in the cost of the product?
No. The figure refers to the design-to-manufacturing interface cost associated with CAD compatibility and avoiding manual reconstruction. It is not a total manufacturing-cost or mass-reduction figure.
Which geometry variables can be optimized together?
The method works with CAD-associated feature shape, position and angle. The stiffened-shell method combines opening shape, topology, surface form and stiffener arrangement.
The next step