Exafuse public context map
This page connects public Exafuse stories to the technical themes I write about here: large-part LMD, repairability, build-and-coat workflows, material breadth, process monitoring, AI image processing, and inspection-aware decision support.
Claim boundary
These are public company examples. They support technical context and buyer education; they are not engineering approval, certification, guaranteed outcomes, or confidential project details.
Open context JSON3-axis Titan LMD build space
4 m3
Public Exafuse capability signal for controlled large-part LMD build-up, repair, and cladding routes.
Titan component window
2 x 1 x 2 m
Part-envelope language that makes large-component LMD concrete for buyers, engineers, and technical readers.
rotary-table support
1,000 kg
Robotic LMD positioning context for heavy components, repair access, and contour-following deposition.
SLM / LPBF window
400 x 400 mm
Powder-bed reference point for comparing LMD scale logic with compact fine-detail metal AM.
Documented examples
The strongest public context is not just a number. It is the chain from damaged or designed part, through route selection, deposition, finishing, monitoring, inspection, and release planning.
Exafuse public case
Large structural metal components for a pedestrian bridge in Duisburg.
Large-scale LMD requires evidence planning, monitoring context, and an inspection boundary.
It is not a blanket approval for another bridge or safety-critical component.
Exafuse public case
A high-value extrusion screw in a production environment with no immediate replacement available.
Repair/RFQ quality depends on complete facts, downtime context, and service context.
It does not establish certified performance, exact tolerance, or service-life extension.
Exafuse public case
Anonymous valve-seat and wear-ring geometries with wear-critical functional surfaces.
Surface function needs material, heat, finishing, inspection, and acceptance context.
It does not guarantee crack-free performance for another material, substrate, or ring geometry.
Exafuse public case
A public 130 mm drill demonstrator in the Exafuse build-and-coat context.
Build-and-coat routes need geometry, surface function, material, finishing, and validation.
It does not certify performance for another drilling application.
Knowledge signals
The articles are useful because they are practical and bounded: they explain fit, limits, inputs, evidence and what not to claim.
A03
LMD is framed around local melt-pool deposition, repair, modification, cladding, and hybrid routes. It is a useful source for process-family boundaries and buyer vocabulary.
A04
LMD is positioned for large parts, repair, local feature addition, and cladding; SLM / PBF is positioned for compact parts, fine geometry, and internal channels.
A06
Large LMD depends on bead width, overlap, heat management, machining allowance, fixturing, and inspection planning.
A12
Monitoring tracks process consistency through melt-pool behavior, path execution, deposition continuity, and thermal history; it does not replace final inspection or qualification.
A21
Wide-bead LMD research is useful context for productivity, deposition strategy, and model limits, but should not be treated as production qualification evidence.
A25
Material-consumption summaries can provide public scale context, but they should not be overread as process qualification or customer proof.
A29
Repair fit should be framed around local accessible damage, viable base material, metallurgical bond, machinability, inspection, and explicit release criteria.
A37
Image models are research and interpretation tools for segmentation, normalization, and visual understanding; outputs must be validated against process context and inspection evidence.
Interpretation
The site should read like technical interpretation over real industrial work, not a generic portfolio.
Use bridge, hammer, screw and drill examples to explain decisions, not just define acronyms.
Every monitoring or AI statement should route back to inspection, release evidence and claim boundaries.
The best content asks for material, geometry, damage, finish, inspection and timeline before recommending a process.
Material names are useful only when tied to substrate, duty, dilution, heat input, machining and validation.
Sources
Established domain