Evidence map›Paper›PMID 40422137›Full record

ArticleBiomimetics (Basel, Switzerland)2025

DEM Study and Field Experiments on Coupling Bionic Subsoilers.

Zihe Xu, Hongyan Qi, Lidong Wang, Shuo Wang, Xuanting Liu, Yunhai Ma

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2025. 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

6 authors.

Zihe XuThe College of Biological and Agricultural Engineering, Jilin University, 5988 Renmin Street, Changchun 130025, China.
Hongyan QiCollege of Mechanical Engineering, Hunan University of Arts and Science, Changde 415000, China.
Lidong WangWeichai Power Co., Ltd., Weifang 261061, China.
Shuo WangThe College of Biological and Agricultural Engineering, Jilin University, 5988 Renmin Street, Changchun 130025, China.
Xuanting LiuThe College of Biological and Agricultural Engineering, Jilin University, 5988 Renmin Street, Changchun 130025, China.
Yunhai MaThe College of Biological and Agricultural Engineering, Jilin University, 5988 Renmin Street, Changchun 130025, China.

Funding

Key Research and Development Program of Autonomous Region 2023B02021-3National Key Research and Development Program of China 2023YFD2000903National Natural Science Foundation of China 52275288
6 · The paper itself

Abstract

Subsoiling is an effective tillage method for breaking up the plough pan and reducing soil bulk density. However, subsoilers often encounter challenges such as high draft resistance and excessive energy consumption during operation. In this study, the claw toes of the badger and the scales of the pangolin were selected as bionic prototypes, based on which coupling bionic subsoilers were designed. The discrete element method (DEM) was used to simulate and analyze the interactions between soil and both the standard subsoiler and coupling bionic subsoilers. Field experiments were conducted to validate the simulation results. The simulation results showed that the coupling bionic subsoilers reduced the draft force by 7.70-16.02% compared to the standard subsoiler at different working speeds. Additionally, the soil disturbance coefficient of the coupling bionic subsoilers decreased by 5.91-13.57%, and the soil bulkiness was reduced by 2.84-18.41%. The field experiment results showed that coupling bionic subsoilers reduced the average draft force by 11.06% and decreased the soil disturbance area. The field experiments validated the accuracy of DEM simulation results. This study provides valuable insights for designing more efficient subsoilers.

Indexed as

bionic designdiscrete element method (DEM)draft force reductionsubsoiler

Identifiers

PMID40422137
PMCPMC12108598

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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.