Evidence map›Paper›PMID 38611373›Full record

ArticleFoods (Basel, Switzerland)2024

Characteristics of Damage to Brown Rice Kernels under Single and Continuous Mechanical Compression Conditions.

Xiaopeng Liu, Ziang Shi, Yonglin Zhang, Hui Li, Houchang Pei, Hongjun Yang

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2024. 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
1.7field-weighted citation impact, top 18% of its field
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, 8 citations in OpenAlex.

  1. Article
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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

6 authors at 1 institution in 1 country.

Xiaopeng LiuSchool of Mechanical Engineering, Wuhan Polytechnic University, Wuhan 430023, China.
Ziang ShiSchool of Mechanical Engineering, Wuhan Polytechnic University, Wuhan 430023, China.
Yonglin ZhangSchool of Mechanical Engineering, Wuhan Polytechnic University, Wuhan 430023, China.
Hui LiSchool of Mechanical Engineering, Wuhan Polytechnic University, Wuhan 430023, China.
Houchang PeiSchool of Mechanical Engineering, Wuhan Polytechnic University, Wuhan 430023, China.
Hongjun YangSchool of Mechanical Engineering, Wuhan Polytechnic University, Wuhan 430023, China.
Wuhan Polytechnic University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the rice milling process, single and continuous compression occurs between brown rice and the processing parts. When the external load exceeds the yield limit of brown rice, brown rice kernels are damaged; with an increase in compression deformation or the extent of compression, the amount of damage to the kernels expands and accumulates, ultimately leading to the fracture and breakage of kernels. In order to investigate the mechanical compression damage characteristics of brown rice kernels under real-world working conditions, this study constructs an elastic-plastic compression model and a continuous damage model of brown rice kernels based on Hertz theory and continuous damage theory; the accuracy of this model is verified through experiments, and the relevant processing critical parameters are calculated. In this study, three varieties of brown rice kernels are taken as the research object, and mechanical compression tests are carried out using a texture apparatus; finally, the test data are analysed and calculated by combining them with the theoretical model to obtain the relevant critical parameters of damage. The results of the single compression crushing test of brown rice kernels showed that the maximum destructive forces

Indexed as

brown rice kernelscontinuum damageelastic–plastic contactHertz theoryrice milling

Identifiers

PMID38611373
PMCPMC11011294
OpenAlexW4393352995

What OpenQuestion holds

Textmetadata
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.