Define
Express variables, constraints, frames, interfaces, and named regions before a surface is generated.
Capabilities
Computational geometry generation
Geometry that carries engineering intent.
Generate exact, implicit, field, mesh, and manufacturing views without losing what each feature means.Scope
Plural geometry, qualified by purpose
Governing principle
A derived representation never silently becomes design authority.
One design. Several valid representations.
AeroGalactica treats geometry as a versioned engineering model, not an anonymous mesh. Construction logic, semantic regions, units, coordinate frames, tolerances, and source identity travel with every derived view. Exact boundary representations can preserve design authority while implicit fields, voxels, tessellations, and meshes serve the task they are best at.
System logic
From intent to qualified geometry
Construct
Execute deterministic construction logic for parametric, exact, implicit, lattice, and field-based forms.
Lower
Create purpose-built solver and manufacturing views with recorded algorithms, tolerances, and source links.
Verify
Check topology, associativity, discretization quality, conversion error, and provenance before use.
Semantic identity survives change.
Inlets, walls, cooling passages, interfaces, and load-bearing regions remain addressable as the design evolves and representations change.
Fidelity follows the question.
The system can select a representation for topology, simulation, visualization, or manufacturing without pretending that one format is universal truth.
Generation becomes repeatable.
A geometry revision can be reproduced from typed inputs and construction logic, then traced through every downstream study artifact.
The goal is not faster shape generation alone. It is a geometry system that remains intelligible when the design enters physics, optimization, manufacturing, and review.
Continue through the system