Evidence map›Paper›PMID 41596796›Full record

ArticleFoods (Basel, Switzerland)2026

Investigation of Radial Mixing Dynamics and Saturation Effect in Stirred Brown Rice Granular Systems Using Discrete Element Method.

Yawen Xiao, Yajuan Wang, Qianqian Yu, Minyue Sun, Xingeng Ni, Chunmeng Liu, Kexiang Zhang

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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.

Yawen XiaoSchool of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China.
Yajuan WangSchool of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China.
Qianqian YuSchool of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China.
Minyue SunSchool of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China.
Xingeng NiSchool of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China.
Chunmeng LiuSchool of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China.
Kexiang ZhangSchool of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China.

Funding

China Postdoctoral Science Foundation 2023M732989China Postdoctoral Science Foundation 2024T170753Chinese Natural Science Foundation 52305286
6 · The paper itself

Abstract

In rice and food processing, spray mixing plays an essential role, with radial distribution uniformity serving as a key metric for assessing mixing performance. However, noticeable variations in the radial migration behavior of brown rice particles can occur even at identical stirring-shaft speeds, and the underlying mechanisms remain insufficiently understood. To clarify the influence of stirring-shaft speed on radial particle mixing, this study employed the discrete element method (DEM) to numerically simulate particle motion under different stirring-shaft speeds. The DEM model was experimentally validated by comparing simulated and measured particle volume proportions and power consumption, thereby ensuring the reliability of the numerical predictions. The results indicate a critical stirring-shaft speed of 20 rpm. Below this threshold, mixing uniformity increases with speed; above it, further increases yield negligible improvement. Analysis of different radial regions shows that selecting an appropriate stirring-shaft speed can effectively improve the mixing homogeneity across layers. In addition, the diffusion behavior of particles in different layers was analyzed, revealing that the diffusion capacity of each layer increases with stirring-shaft speed. These findings offer theoretical support for the optimal design and parameter setting of spray mixing equipment for brown rice and related food products.

Indexed as

brown rice grainsdiscrete element methodradial mixing uniformitystirring-shaft speed

Identifiers

PMID41596796
PMCPMC12840538

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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.