Evidence map›Paper›PMID 39198697›Full record

ArticleScientific reports2024

A comparative study of indentation size effect models for different materials.

Peina Wang, Yu Gao, Peihuan Wang

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

3 authors.

Peina WangDepartment of Stomatology, Xi'an No. 3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, 710018, Shaanxi, China.
Yu GaoDepartment of Pediatric Dentistry, School and Hospital of Stomatology, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Research Center of Dental Materials and Oral Tissue Regeneration & Shandong Provincial Clinical Research Center for Oral Diseases, Cheeloo College of Medicine, Jinan, 250012, Shandong, China.
Peihuan WangDepartment of Stomatology, The 960th Hospital of the PLA Joint Logistics Support Force, Jinan, 250031, Shandong, China. huanhuan960@yeah.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The phenomenon of indentation size effect (ISE) has received great attention in aerospace, nuclear power, microelectronics and medicine. Although researchers have proposed various ISE models, these models often involve different form and number of parameters that can make our wonder which is the best in existed ISE models. Herein, three types of ISE test data, namely, normal ISE, reverse ISE and transition of normal to reverse ISE, are used to evaluate the sixteen ISE models. The comparatively study indicates that Hou-Jennet(H-J), Nix-Gao-Feng (N-G-Fs), Nix-Gao-Haušild (N-G-H), Nix-Gao-Abu Al-Rub (N-G-A) and Nix-Gao-Qius (N-G-Qs) models can accurately predict the normal ISE. The reason for this is that the friction stress that is not related to dislocation activities or the indentation size effect of plastic zone has been introduced into these models. Therefore, these two factors should be considered in future ISE models. The sixteen ISE models are originally proposed to describe the normal ISE of different materials. However, to our surprise, some of these models are able to capture the reverse ISE and the transition of normal to reverse ISE of different materials. The determination coefficients (DC) of the sixteen ISE models are also determined for different materials. For reverse ISE, the highest DC value for Ni Carbide Silicon (NiCSi), TC4 titanium alloy (TC4) and Pulsed electro-deposited Ni (PED Ni) are given by the Exponential (EXP), Nix-Gao-Feng (N-G-Fs) and Nix-Gao-Abu Al-Rub (N-G-A) models, respectively. For the transition of normal to reverse ISE, the Nix-Gao-Yuan-Chen (N-G-YC), Nix-Gao-Feng (N-G-Fs), and Nix-Gao-Haušild (N-G-H) models produce the maximum DC for ZrO

Indexed as

Existing modelIndentation size effectNormal ISEReverse ISE

Identifiers

PMID39198697
PMCPMC11358371

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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.