Evidence map›Paper›PMID 42882574›Full record

ArticleMaterials (Basel, Switzerland)2026

Erosion-Corrosion Behavior of TiC-Based Cermets with Fe-Ni Binder in Artificial Seawater.

Bin Wu, Rong Zhang, Zhixing Guo, Zhi Xie, Xiangyu Song, Xiang Xia, Guang Xian, Tianen Yang, Linzhi Xie, Feichi Chen and 2 more

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

12 authors.

Bin WuCollege of Materials and Chemistry & Chemical Engineering, Chengdu University of Technology, Chengdu 610059, China.
Rong ZhangCollege of Materials and Chemistry & Chemical Engineering, Chengdu University of Technology, Chengdu 610059, China.
Zhixing GuoSchool of Mechanical Engineering, Sichuan University, Chengdu 610065, China.
Zhi XieSchool of Mechanical Engineering, Sichuan University, Chengdu 610065, China.
Xiangyu SongZhejiang Zhenxing Petrochemical Machinery Co., Ltd., Wenzhou 325200, China.
Xiang XiaSchool of Mechanical Engineering, Sichuan University, Chengdu 610065, China.
Guang XianSchool of Mechanical Engineering, Sichuan University, Chengdu 610065, China.
Tianen YangSchool of Mechanical Engineering, Sichuan University, Chengdu 610065, China.ORCID 0000-0003-2023-4974
Linzhi XieCollege of Materials and Chemistry & Chemical Engineering, Chengdu University of Technology, Chengdu 610059, China.
Feichi ChenCollege of Materials and Chemistry & Chemical Engineering, Chengdu University of Technology, Chengdu 610059, China.
Yunyi ZhuCollege of Materials and Chemistry & Chemical Engineering, Chengdu University of Technology, Chengdu 610059, China.
Mei YangCollege of Materials and Chemistry & Chemical Engineering, Chengdu University of Technology, Chengdu 610059, China.

Funding

Science and Technology Department of Sichuan Province 2026YFHZ0152
6 · The paper itself

Abstract

TiC-based cermets are promising candidates for marine wear-resistant components; however, achieving a balance between mechanical performance, erosion-corrosion resistance, and binder cost remains a major challenge. In this work, TiC-xFe-(15-x)Ni (x = 0, 5, 10 and 15 wt.%) cermets were fabricated by vacuum liquid-phase sintering to clarify the influence of Fe/Ni binder composition on the microstructure, mechanical properties, electrochemical behavior, and erosion-corrosion resistance in SiO

Indexed as

artificial seawatercermetserosion–corrosion resistanceFe contentTiC

Identifiers

PMID42882574
PMCPMC13665817

What OpenQuestion holds

Textmetadata
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.