Evidence map›Paper›PMID 32784517›Full record

ArticleSensors (Basel, Switzerland)2020

Measuring the Normal Stress Distribution Acting on a Locked-Wheel of Push-Pull Locomotion Rovers via a Wheel Sensor System.

Daisuke Fujiwara, Tetsuya Oshima, Kojiro Iizuka

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
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 at 1 institution in 1 country.

Daisuke FujiwaraDepartment of Functional Control Systems, Shibaura Institute of Technology, Saitama 337-8570, Japan.ORCID 0000-0003-4284-4247
Tetsuya OshimaDepartment of Machinery and Control Systems, Shibaura Institute of Technology, Saitama 337-8570, Japan.
Kojiro IizukaDepartment of Machinery and Control Systems, Shibaura Institute of Technology, Saitama 337-8570, Japan.
Shibaura Institute of Technology · JP

Funding

JKA and its promotion funds from KEIRIN RACE Grant No. 28-147
6 · The paper itself

Abstract

The resistance force generated when the locked-wheel acts on the soil is critical for deciding the traveling performance of push-pull locomotion. The resistance force depends on the tangential force of the sliding soil wedge beneath the wheel, and the tangential force depends on the forces of the soil and the wheel perpendicular to the tangential direction. Hence, the normal stress distribution of the locked-wheel can affect the resistance force. Previous studies indicated different insights that describe either a uniform or non-uniform shape of the normal stress distribution. The distribution of the locked-wheel still needs to be examined experimentally. This study measured the normal stress distribution using the wheel sensor system, and the variation of the contact area and slip surface beneath the wheel were also observed in PIV analysis. Those results showed that the normal stress distribution was non-uniform along the wheel contact area, and the change of the distribution was confirmed with the change of the contact area and slip surface. Then, the resistance force calculated by a preliminary model based on the measured data was compared with the total resistance force of the wheel measured by a separate sensor. This comparison provided a theoretical consideration for the measured data.

Indexed as

locked–wheelloose soilplanetary roverpush–pull locomotionresistance forcewheel sensor system

Identifiers

PMID32784517
PMCPMC7472234
OpenAlexW3047816257

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.