Evidence map›Paper›PMID 36359643›Full record

ReviewEntropy (Basel, Switzerland)2022

Recent Advances in W-Containing Refractory High-Entropy Alloys-An Overview.

Shunhua Chen, Chen Qi, Jiaqin Liu, Jingsai Zhang, Yucheng Wu

Abstract readReview
In one paragraph

Review in Entropy (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. On the WEDM of WNbMoTaZrEntropy (Basel, Switzerland) · 2022
    Article
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

5 authors.

Shunhua ChenSchool of Mechanical Engineering, Hefei University of Technology, Hefei 230009, China.
Chen QiSchool of Mechanical Engineering, Hefei University of Technology, Hefei 230009, China.
Jiaqin LiuSchool of Mechanical Engineering, Hefei University of Technology, Hefei 230009, China.
Jingsai ZhangSchool of Mechanical Engineering, Hefei University of Technology, Hefei 230009, China.
Yucheng WuSchool of Materials Science and Engineering, Hefei University of Technology, Hefei 230009, China.

Funding

National MCF Energy R&D Program 2022YFE03140000The Fundamental Research Funds for the Central Universities JZ2022HGTB0247
6 · The paper itself

Abstract

During the past decade, refractory high-entropy alloys (RHEA) have attracted great attention of scientists, engineers and scholars due to their excellent mechanical and functional properties. The W-containing RHEAs are favored by researchers because of their great application potential in aerospace, marine and nuclear equipment and other high-temperature, corrosive and irradiated fields. In this review, more than 150 W-containing RHEAs are summarized and compared. The preparation techniques, microstructure and mechanical properties of the W-containing RHEAs are systematically outlined. In addition, the functional properties of W-containing RHEAs, such as oxidation, corrosion, irradiation and wear resistance have been elaborated and analyzed. Finally, the key issues faced by the development of W-containing RHEAs in terms of design and fabrication techniques, strengthening and deformation mechanisms, and potential functional applications are proposed and discussed. Future directions for the investigation and application of W-containing RHEAs are also suggested. The present work provides useful guidance for the development, processing and application of W-containing RHEAs and the RHEA components.

Indexed as

functional applicationhigh temperaturemechanical propertymicrostructurepreparationprocessingrefractory high-entropy alloytungsten

Identifiers

PMID36359643
PMCPMC9689321

What OpenQuestion holds

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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.