Evidence map›Paper›PMID 34279288›Full record

ArticleMaterials (Basel, Switzerland)2021

In Situ Investigation of Strain Localization in Sintered, Porous Segmented Alumina.

Vladimir Kibitkin, Mikhail Grigoriev, Alexander Burlachenko, Andrey Solodushkin, Nickolai Savchenko, Valery Rubtsov, Sergei Tarasov

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2021. 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.

Vladimir KibitkinInstitute of Strength Physics and Materials Science, 634055 Tomsk, Russia.
Mikhail GrigorievLaboratory of Nanotechnologies of Metallurgy, National Research Tomsk State University, 634050 Tomsk, Russia.
Alexander BurlachenkoInstitute of Strength Physics and Materials Science, 634055 Tomsk, Russia.
Andrey SolodushkinInstitute of Strength Physics and Materials Science, 634055 Tomsk, Russia.
Nickolai SavchenkoInstitute of Strength Physics and Materials Science, 634055 Tomsk, Russia.
Valery RubtsovInstitute of Strength Physics and Materials Science, 634055 Tomsk, Russia.
Sergei TarasovInstitute of Strength Physics and Materials Science, 634055 Tomsk, Russia.ORCID 0000-0003-0702-7639

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evaporation of paraffin and ultra-high-molecular-weight polyethylene admixed with alumina powder for the slip casting and sintering process allowed the obtainment of segmented porous alumina ceramics with 50% total porosity, whose deformation behavior we studied. Structurally, these ceramic materials were composed of large and small pores, and a system of discontinuities subdividing the samples into segments. Using digital image correlation (DIC), strain distribution maps were obtained that allowed the observation of strain localization zones, where primary cracks propagated along the interblock discontinuities. Two stages were revealed to be responsible for different mechanisms that provided the sample with damage tolerance under compression loading: the first stage was crack propagation along the block boundaries, which was followed by the second stage of microcracking and fragmentation, consisting of filling of the free spaces with fragments, compaction band generation, and stabilization of the crack. Both stages comprise a cycle that is repeated again and again until the full volume of the sample is occupied by the compaction bands.

Indexed as

deformationdigital image correlationfracturepore ceramicssegmented ceramicstensor components

Identifiers

PMID34279288
PMCPMC8269897

What OpenQuestion holds

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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.