Evidence map›Paper›PMID 32825494›Full record

ArticleMaterials (Basel, Switzerland)2020

Profile and Areal Surface Parameters for Fatigue Fracture Characterisation.

Wojciech Macek, Ricardo Branco, Mirosław Szala, Zbigniew Marciniak, Robert Ulewicz, Norbert Sczygiol, Piotr Kardasz

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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.

Wojciech MacekOpole University of Technology, 76 Proszkowska St., 45-758 Opole, Poland.ORCID 0000-0001-9079-8877
Ricardo BrancoCEMMPRE, Department of Mechanical Engineering, University of Coimbra, Rua Luís Santos, 3030-788 Coimbra, Portugal.ORCID 0000-0003-2471-1125
Mirosław SzalaDepartment of Materials Engineering, Faculty of Mechanical Engineering, Lublin University of Technology, Nadbystrzycka 36D, 20-618 Lublin, Poland.ORCID 0000-0003-1059-8854
Zbigniew MarciniakDepartment of Mechanics and Machine Design, Opole University of Technology, ul. Mikolajczyka 5, 45-271 Opole, Poland.
Robert UlewiczDepartment of Production Engineering and Safety, Czestochowa University of Technology, 42-201 Czestochowa, Poland.ORCID 0000-0002-5694-4284
Norbert SczygiolFaculty of Mechanical Engineering and Computer Science, Czestochowa University of Technology, 42-201 Czestochowa, Poland.
Piotr KardaszWroclaw School of Information Technology, Lutra 4, 54-239 Wrocław, Poland.

Funding

Polish Ministry of Science and Higher Education 030/RID/2018/19
6 · The paper itself

Abstract

Post-mortem characterisation is a pivotal tool to trace back to the origin of structural failures in modern engineering analyses. This work compared both the crack propagation and rupture roughness profiles based on areal parameters for total fracture area. Notched and smooth samples made of weather-resistant structural steel (10HNAP), popular S355J2 structural steel and aluminium alloy AW-2017A under bending, torsion and combined bending-torsion were investigated. After the fatigue tests, fatigue fractures were measured with an optical profilometer, and the relevant surface parameters were critically compared. The results showed a great impact of the loading scenario on both the local profiles and total fracture areas. Both approaches (local and total fracture zones) for specimens with different geometries were investigated. For all specimens, measured texture parameters decreased in the following order: total area, rupture area and propagation area.

Indexed as

bending–torsion fatiguefatigue fracturesurface metrologysurface topography

Identifiers

PMID32825494
PMCPMC7504328

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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.