Evidence map›Paper›PMID 41753404›Full record

ArticleMaterials (Basel, Switzerland)2026

A Generic Geometric Code-Parsing Framework for Corner Optimization in Curved-Surface Directed Energy Deposition.

Lan Jiang, Zhongkai Li, Xiaofang Pan, Danya Li, Wenxin Liu, Ziyang Chen, Jun Liu

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 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

7 authors.

Lan JiangSchool of Materials Science and Engineering, Central South University, Changsha 410083, China.ORCID 0009-0007-1640-6784
Zhongkai LiSchool of Materials Science and Engineering, Central South University, Changsha 410083, China.
Xiaofang PanSchool of Materials Science and Engineering, Central South University, Changsha 410083, China.
Danya LiSchool of Materials Science and Engineering, Central South University, Changsha 410083, China.
Wenxin LiuSchool of Materials Science and Engineering, Central South University, Changsha 410083, China.
Ziyang ChenSchool of Materials Science and Engineering, Central South University, Changsha 410083, China.
Jun LiuSchool of Materials Science and Engineering, Central South University, Changsha 410083, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Laser-cladding directed energy deposition enables both the repair and fabrication of complex metallic components with curved surfaces. However, during multi-axis deposition on curved substrates, sharp transient feed-rate fluctuations at corner segments-together with an approximately constant powder feed rate-readily cause local over-deposition and geometric defects (e.g., nodules and humps). These defects compromise surface-profile fidelity, thereby creating a major barrier to practical deployment. To overcome this limitation, we propose a corner-oriented path-optimization strategy based on geometric code parsing. By operating directly on the toolpath without modifying the Computer-Aided Design model or slicing workflow, the proposed method suppresses corner overbuild and associated morphological distortion in curved-surface directed energy deposition, substantially improving dimensional consistency and surface quality. Overall, this strategy provides a scalable and broadly applicable route toward high-precision, high-reliability, industrial-scale curved-surface additive manufacturing.

Indexed as

additive manufacturingcomplex curved surface partsdirected energy depositionpath optimization

Identifiers

PMID41753404
PMCPMC12941923

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.