Evidence map›Paper›PMID 32727120›Full record

ArticleMaterials (Basel, Switzerland)2020

Improving the Buffer Energy Absorption Characteristics of Movable Lander-Numerical and Experimental Studies.

Jinhua Zhou, Shan Jia, Jiacheng Qian, Meng Chen, Jinbao Chen

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2020. 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
–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

3 citing papers in PubMed.

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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.

Jinhua ZhouCollege of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Shan JiaCollege of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Jiacheng QianCollege of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Meng ChenCollege of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Jinbao ChenCollege of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.

Funding

Fundamental Research Funds for the Central Universities NS2018052National Natural Science Foundation of China 61773265
6 · The paper itself

Abstract

To improve the soft-landing crash performance of the movable lander (ML), this study presents an investigation of a newly designed gradual energy-absorbing structure subjected to impact loads using an ML for theoretical calculation and numerical simulations. In this work, we present a novel computational approach to optimizing the energy absorption (EA) of the ML. Our framework takes as inputting the geometrical parameter (GP) as well as EA. The finite element model of the HB1, HB2, and HB3 was established and effectively verified using numerical simulation and experimental data. The relationship between the GP of the buffer material and the EA was obtained through static experiment and impact experiment, and the cushioning performance of the lander was optimized according to the ML load mass, contact speed, and EA function. According to the optimization results, we chose an outer diameter of 240 mm, an inner diameter of 50 mm, heights of HB1 = 140 mm, HB2 = 110 mm, and HB3 = 225 as the collocation, and completed the numerical simulation of three different cases. By comparing the results of theoretical calculation and numerical simulation experiments, it can be found that the overload response rates of the main body in 4 type landing, 2-2 type landing, and 1-2-1 type landing are 4.72 G, 2.61 G, and 2.33 G, respectively. It also laid the foundation for the theoretical and methodological research of the ML and manned lander in the future.

Indexed as

buffering performanceenergy absorption (EA)geometric parameters (GP)movable lander (ML)

Identifiers

PMID32727120
PMCPMC7435996

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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.