Additive Manufacturing

last updated 2026-08-31 · +2 sources in last 30d
Assessment draft · unreviewed
Viability
4/5
Drivers
3/5
Novelty
3/5
Diffusion
3/5
Impact
3/5

Timing Now (0-2yr) · Read Fairly rated

Additive manufacturing builds parts by adding material under digital control rather than cutting it away, and the current research frontier is less about the printers than about beating the resolution-versus-speed trade-off and making print fidelity predictable enough for real engineering parts.

Summary

Additive manufacturing (AM) is the family of processes that construct an object by depositing or solidifying material where a digital model says material should be, instead of removing it from a blank. The supplied evidence covers three distinct physical families rather than one technology. Light-based photopolymerisation cures liquid resin: two-photon polymerisation (2PP, also called direct laser writing) reaches sub-micrometre features but only over sub-millimetre volumes, while single-photon tomographic volumetric additive manufacturing (TVAM) forms centimetre-scale objects within seconds at feature sizes of tens of micrometres. Metal powder bed fusion (L-PBF) melts metal powder with a laser and is already used in production, but suffers from unstable melt-pool keyholes that generate porosity and spatter. At the smallest scale, focused electron beam induced deposition (FEBID) writes freestanding 3D nanowires directly.

The parameters that decide the field are resolution, build volume, throughput and fidelity, and they trade against each other. Photopolymerisation is explicitly described as constrained by a resolution/speed trade-off. Two lines of attack appear in the sources. The first is optical and computational: differentiable ray-optics and wave-optics models that compute projection patterns accounting for occlusions, refraction, scattering and even chemical blur, enabling overprinting onto pre-existing components and single-view holographic printing with roughly 10 micrometre lateral features. The second is hybridisation: running TVAM and 2PP on one platform in the same resin so a millimetre-scale body can carry sub-micrometre detail without stitching, platform changes or intermediate processing.

A parallel and equally large theme is process informatics. Prints deviate from the target because of physico-chemical effects, and neural networks are being trained to predict and pre-correct those deviations rather than relying on iterative trial prints. Related work covers automated defect classification that can absorb new defect classes and new part geometries from scarce data, machine health monitoring to replace experience-based maintenance, and physics-informed prediction of metal AM temperature fields that generalises to unseen materials without retraining. Read together, the sources describe a technology that already works and is now being industrialised through metrology, modelling and control.

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Assessment drafted 2026-08-31 from up to 18 KB sources using the technology-scorecard framework; scores are a draft read pending review.

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