Evidence map›Paper›PMID 36153463›Full record

ArticleMedical & biological engineering & computing2022

Numerical simulation-based loaded inflation height modeling of nursing bed airbag.

Yunxuan Xiao, Teng Liu, Zhong Zhang, Jianjun Zhang, Shijie Guo

Abstract read
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In one paragraph

Article in Medical & biological engineering & computing, 2022. 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
–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

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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

1 citing paper in PubMed.

  1. [Modeling and comfort analysis of arrayed air cushion mattress for pressure ulcer prevention and assisted repositioning].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024
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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

5 authors.

Yunxuan XiaoState Key Laboratory for Reliability and Intelligence of Electrical Equipment, Hebei Key Laboratory of Robot Perception and Human-Robot Interaction, Hebei University of Technology, School of Mechanical Engineering, Tianjin, 300130, China.
Teng LiuState Key Laboratory for Reliability and Intelligence of Electrical Equipment, Hebei Key Laboratory of Robot Perception and Human-Robot Interaction, Hebei University of Technology, School of Mechanical Engineering, Tianjin, 300130, China. wuqiu-liu@163.com.ORCID http://orcid.org/0000-0002-8788-5192
Zhong ZhangState Key Laboratory for Reliability and Intelligence of Electrical Equipment, Hebei Key Laboratory of Robot Perception and Human-Robot Interaction, Hebei University of Technology, School of Mechanical Engineering, Tianjin, 300130, China.
Jianjun ZhangState Key Laboratory for Reliability and Intelligence of Electrical Equipment, Hebei Key Laboratory of Robot Perception and Human-Robot Interaction, Hebei University of Technology, School of Mechanical Engineering, Tianjin, 300130, China.
Shijie GuoState Key Laboratory for Reliability and Intelligence of Electrical Equipment, Hebei Key Laboratory of Robot Perception and Human-Robot Interaction, Hebei University of Technology, School of Mechanical Engineering, Tianjin, 300130, China.

Funding

National Key R&D Program of China 2021YFC0122700National Natural Science Foundation of China 61871173
6 · The paper itself

Abstract

In previous studies, the numerical simulation models of industrial airbags were verified to have high accuracy regarding their actual dynamics. However, numerical methods were scarcely utilized to simulate and investigate the inflation height behaviors of nursing bed airbag. For this problem, this study constructs a numerical simulation model illustrating the association between the internal pressure and inflating height of nursing bed airbag, under various external loads. Firstly, based on an averaged pressure prerequisite, an airbag dynamic model is established by the control volume approach (the air inside the airbag follows the gas state equation of Poisson's law). Besides, the elastic mechanical behaviors of airbag film material are determined according to a material constitutive model built by the quasi-static uniaxial tensile test. The obtained data are used as the boundary conditions, for the numerical dynamics modeling of the nursing bed airbag. Verification experiments clarify that this numerical modeling is accurate for describing airbag inflation behaviors, and then can be effectively applied to the design and optimization phases of nursing bed airbags. Based on the simulation modeling above, the mathematical equation of controlling airbag inflating height by its internal pressure is obtained. It provides a vital basis for the differentiated and intelligent control of the airbag nursing bed.

Indexed as

Air BagsAccidents, TrafficComputer SimulationAirbag internal pressureAirbag nursing bedControl volume methodInflating heightNumerical modeling

Identifiers

PMID36153463

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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.