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AeroCRAFT

AI-agent direction for additive-manufacturing process simulation

01WAAM / DED production engineer

From CAD to toolpath

Slice a real part into typed layer polylines and see every laser-on move separated from every dry travel hop before anything runs.

A bracket sliced at 1 mm layers into typed polylines - outer wall, inner wall, infill, contour and cladding, each in its own colour - which then resolve into one continuous red deposition path with the green travel hops between islands called out.

Layers
1.0 mm · PLANAR
Power
400 W
Feed
60–100 mm/s
02DED process engineer

Predict defects before printing

Run a Ti-6Al-4V recipe through the transient solver and get a verdict, pinned hotspots and a ranked fix list before any wire is burned.

One calibration cube built with three different energy recipes. The melt pool travels through the voxel grid, the energy-per-unit-length dial swings out of the fusion window at both ends, twenty-five defect hotspots pin themselves in place, and the build scores 10 out of 100 with the penalties broken out.

Material
Ti-6Al-4V
Energy
3.8 – 100 J/mm
Verdict
10 / 100 · fail
03Robot cell integrator

One file, every solver

Toolpath and thermal mesh go into a single VMAP file and come out as LS-DYNA, Abaqus, CalculiX, VTK, RDF — and a robot program.

A validated toolpath collapsing into one VMAP file that carries both the path and the thermal mesh, with speed, power, laser state and bead width riding inside as named state variables, then fanning out to six downstream formats and a KUKA program that advances point for point with the 3D path.

Payload
Toolpath + mesh
Formats
6 downstream
Robot
KUKA KRC4