Evidence map›Paper›PMID 40805336›Full record

ArticleMaterials (Basel, Switzerland)2025

Structural Mechanics Calculations of SiC/Mo-Re Composites with Improved High Temperature Creep Properties.

Ke Li, Egor Kashkarov, Hailiang Ma, Ping Fan, Qiaoli Zhang, Andrey Lider, Daqing Yuan

Abstract read
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.

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.

Ke LiDepartment of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China.
Egor KashkarovSchool of Nuclear Science and Engineering, National Research Tomsk Polytechnic University, Tomsk 634050, Russia.ORCID 0000-0001-7945-8273
Hailiang MaDepartment of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China.
Ping FanDepartment of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China.
Qiaoli ZhangDepartment of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China.
Andrey LiderSchool of Nuclear Science and Engineering, National Research Tomsk Polytechnic University, Tomsk 634050, Russia.ORCID 0000-0002-3868-2647
Daqing YuanDepartment of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China.

Funding

the Continuous Basic Scientific Research Project BJ020261224905the Director's Research Fund of the Nuclear Physics Department, China Institute of Atomic Energy PA010261224866the Russian Science Foundation 23-19-00109
6 · The paper itself

Abstract

In the present work, we design a laminated composite composed of molybdenum-rhenium alloy and silicon carbide ceramics for use in space reactors as a candidate structural material with neutron spectral shift properties. The influence of the internal microstructure on the mechanical properties is investigated by finite element simulation based on scale separation. The results of the study showed that the incorporation of gradient transition layers between the metallic and ceramic phases effectively mitigates thermally induced local stresses arising from mismatches in coefficients of thermal expansion. By optimizing the composition of the gradient transition layers, the stress distribution within the composite under operating conditions has been adjusted. As a result, the stress experienced by the alloy phase is significantly reduced, potentially extending the high-temperature creep rupture life.

Indexed as

finite element simulationlaminated compositemolybdenum–rhenium alloyrefractory materialssilicon carbide

Identifiers

PMID40805336
PMCPMC12347389

What OpenQuestion holds

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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.