Microstructure Characteristics and Tribological Performances of LPBF-Processed TiC

Junwen Cao, Yumeng Zhao, Wentao Liu, Jinyi Duan, Na Li, Ao Fu, Yuankui Cao, Bin 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

8 authors.

Junwen CaoChina National Nuclear Corporation (CNNC) Key Laboratory on Fabrication Technology of Reactor Irradiation Special Fuel Assembly, Baotou 014035, China.

Yumeng ZhaoChina National Nuclear Corporation (CNNC) Key Laboratory on Fabrication Technology of Reactor Irradiation Special Fuel Assembly, Baotou 014035, China.ORCID 0000-0003-1669-2382

Wentao LiuChina National Nuclear Corporation (CNNC) Key Laboratory on Fabrication Technology of Reactor Irradiation Special Fuel Assembly, Baotou 014035, China.

Jinyi DuanState Key Laboratory of Powder Metallurgy, Central South University, Changsha 410083, China.

Na LiState Key Laboratory of Powder Metallurgy, Central South University, Changsha 410083, China.

Ao FuState Key Laboratory of Powder Metallurgy, Central South University, Changsha 410083, China.

Yuankui CaoState Key Laboratory of Powder Metallurgy, Central South University, Changsha 410083, China.ORCID 0000-0001-6800-0734

Bin LiuState Key Laboratory of Powder Metallurgy, Central South University, Changsha 410083, China.ORCID 0000-0003-2189-9476

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The microstructural characteristics and precipitate features of titanium matrix composites (TMCs) are critical to tribological performance. In this study, TiCp/TA15 composites were fabricated via laser powder bed fusion (LPBF). The as-built composite was then heat-treated at 750 °C for 2 h to obtain a uniform duplex (α + β) microstructure with enhanced TiC precipitation, which was labeled as HT-750. The influence of the microstructural evolution on the tribological performance was systematically investigated. Compared to the as-built composite, the HT-750 composite exhibited a microhardness increase from 360.2 ± 6.4 HV to 459.2 ± 3.1 HV, a reduction in the friction coefficient from 0.649 ± 0.167 to 0.581 ± 0.111, and a decrease in the wear rate from 8.24 ± 0.44 × 10

Indexed as

laser powder bed fusion (LPBF)microstructural evolutiontitanium matrix composites (TMCs)tribological performancewear mechanism

Identifiers

PMID42355168

DOI10.3390/ma19122586

PMCPMC13304181

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

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.