Evidence map›Paper›PMID 42774154›Full record

ArticleProgress in additive manufacturing2026

Embedding of taggants in the vat photo-polymerisation additive manufacturing process for anti-counterfeiting measures.

Bochuan Liu, Paula F Wilson, Mark A Williams, Gregory J Gibbons

Abstract read
In one paragraph

Article in Progress in additive manufacturing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Bochuan LiuWarwick Manufacturing Group (WMG), University of Warwick, Coventry, UK.
Paula F WilsonWarwick Manufacturing Group (WMG), University of Warwick, Coventry, UK.
Mark A WilliamsWarwick Manufacturing Group (WMG), University of Warwick, Coventry, UK.
Gregory J GibbonsWarwick Manufacturing Group (WMG), University of Warwick, Coventry, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid expansion of the additive manufacturing (AM) industry has attracted significant global attention. However, the inherent nature of AM, specifically the direct translation of CAD data into physical components, makes the supply chain highly vulnerable to fraudulent and counterfeit activities. As scanning and reverse-engineering technologies advance, existing authentication methods have become increasingly susceptible to replication, and consequently, unreliable. This article investigates a novel authentication method for the vat photo-polymerisation process (VPP) by introducing a "double-lock" system. This system embeds both a physical hash (randomly distributed taggants acting as physically unclonable functions) and a digital hash (derived from X-ray computed tomography scans) into each component. Several digital hashing methods are proposed, including a combination of taggant spatial coordinates, colour codes, and quadrat counts, creating a signature that demonstrates substantial spatial complexity and resistance to physical replication. The chi-square (χ

Indexed as

Additive manufacturingAnti-counterfeitingDouble-lock hashTaggantVat photo-polymerisationX-ray computed tomography

Identifiers

PMID42774154
PMCPMC13593714

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.