Evidence map›Paper›PMID 36654926›Full record

Article3D printing and additive manufacturing2020

Three-Dimensional-Printed Shape Memory Biomass Composites for Thermal-Responsive Devices.

Hongjie Bi, Xin Jia, Gaoyuan Ye, Zechun Ren, Haiying Yang, Rui Guo, Min Xu, Liping Cai, Zhenhua Huang

Abstract read
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Article in 3D printing and additive manufacturing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

9 authors.

Hongjie BiKey Laboratory of Bio-based Material Science and Technology of the Ministry of Education of China, College of Material Science and Engineering, Northeast Forestry University, Harbin, China.
Xin JiaKey Laboratory of Bio-based Material Science and Technology of the Ministry of Education of China, College of Material Science and Engineering, Northeast Forestry University, Harbin, China.
Gaoyuan YeKey Laboratory of Bio-based Material Science and Technology of the Ministry of Education of China, College of Material Science and Engineering, Northeast Forestry University, Harbin, China.
Zechun RenKey Laboratory of Bio-based Material Science and Technology of the Ministry of Education of China, College of Material Science and Engineering, Northeast Forestry University, Harbin, China.
Haiying YangKey Laboratory of Bio-based Material Science and Technology of the Ministry of Education of China, College of Material Science and Engineering, Northeast Forestry University, Harbin, China.
Rui GuoKey Laboratory of Bio-based Material Science and Technology of the Ministry of Education of China, College of Material Science and Engineering, Northeast Forestry University, Harbin, China.
Min XuKey Laboratory of Bio-based Material Science and Technology of the Ministry of Education of China, College of Material Science and Engineering, Northeast Forestry University, Harbin, China.
Liping CaiCollege of Engineering, University of North Texas, Denton, Texas, USA.
Zhenhua HuangCollege of Engineering, University of North Texas, Denton, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, unique three-dimensional (3D)-printed shape memory biomass composites were prepared by the melt blending and extrusion of polyurethane, polycaprolactone (PCL), and wood flour (WF) with adjustable contents. The addition content of PCL was used to adjust the shape memory transition temperature and improve the shape fixing rate of composites. The crystallization, thermal, mechanical, and shape memory properties of different composites were investigated. The results of X-ray diffraction and differential scanning calorimetry tests showed that the crystallization peak and melting temperature of different composites were not obviously changed. As the PCL content increased, the tensile strength of the composites decreased first and then increased, and the elongation at break gradually decreased. Thermal response shape memory test results showed that, when the PCL content was 30 wt.%, the composites had high shape recovery rate and fixed rate (both ∼100%). In addition, carbon black (CB) was added as a photothermal conversion material to the composite with a preferred ratio to achieve the photothermal response shape memory performance. With the addition of CB, the thermal conductivity of composites was improved. Under the same conditions, the thicker the 3D-printed specimens, the longer the specimen shape recovery time; the greater the light intensity, the shorter the specimen shape recovery time. Compared with the composite without CB, the flower model printed with the composites containing CB had a better photothermal response shape memory performance.

Indexed as

3D printingbiomass compositesphotothermal conversionshape memorythermal response

Identifiers

PMID36654926
PMCPMC9586233

What OpenQuestion holds

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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.