Evidence map›Paper›PMID 41095468›Full record

ArticleMaterials (Basel, Switzerland)2025

Achieving Large-Area Hot Embossing of Anti-Icing Functional Microstructures Based on a Multi-Arc Ion-Plating Mold.

Xiaoliang Wang, Han Luo, Hongpeng Jiang, Zhenjia Wang, Ziyang Wang, Haibao Lu, Jun Xu, Debin Shan, Bin Guo, Jie Xu

Abstract read
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In one paragraph

Article in Materials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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5 · Who and what money

Authors and funding

10 authors.

Xiaoliang WangSchool of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, China.
Han LuoSchool of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, China.
Hongpeng JiangSchool of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, China.
Zhenjia WangSchool of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, China.
Ziyang WangSchool of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, China.
Haibao LuNational Key Laboratory of Science and Technology on Advanced Composites in Special Environments, Harbin Institute of Technology, Harbin 150080, China.
Jun XuShanghai Institute of Spacecraft Equipment, Shanghai 200240, China.
Debin ShanSchool of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, China.
Bin GuoSchool of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, China.ORCID 0000-0002-7093-2677
Jie XuSchool of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, China.ORCID 0000-0001-5220-3238

Funding

111 Project No. B18017China Postdoctoral Science Foundation No. 2025M774308National Natural Science Foundation of China No. 52505361 and No. U24B2056
6 · The paper itself

Abstract

Aluminum alloy surface microstructures possess functional characteristics such as hydrophilicity/hydrophobicity and anti-icing and have important applications in fields such as aerospace and power systems. In order to improve the filling quality of the microstructure and verify the anti-icing property of the microstructure, this work develops a scheme for achieving large-area hot embossing of anti-icing functional microstructures based on a multi-arc ion-plating mold. Compared with conventional steel, the hardness of the PVD-coated steel increases by 44.7%, the friction coefficient decreases by 66.2%, and the wear resistance is significantly enhanced. The PVD-coated punch-assisted embossing could significantly improve filling properties. While the embossing temperature is 300 °C, the PVD-coated punch-assisted embossing can ensure the complete filling of the micro-array channels. In contrast, under-filling defects occur in conventional hot embossing. Then, a large-area micro-channel specimen of 100 cm

Indexed as

anti-icing propertieshot embossingmicro-array channelsmicroformabilitymulti-arc ion coatings

Identifiers

PMID41095468
PMCPMC12525560

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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.