Evidence map›Paper›PMID 37984867›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Soft Self-Healing Robot Driven by New Micro Two-Way Shape Memory Alloy Spring.

Xianrong Liang, Chenggang Yuan, Chaoying Wan, Xiaolong Gao, Chris Bowen, Min Pan

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Bioinspired Stimuli-Responsive Materials for Soft Actuators.Biomimetics (Basel, Switzerland) · 2024
    Review
  6. Soft Self-Healing Robot Driven by New Micro Two-Way Shape Memory Alloy Spring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    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

6 authors at 3 institutions in 2 countries.

Xianrong LiangDepartment of Mechanical Engineering, University of Bath, Bath, UK.
Chenggang YuanDepartment of Mechanical Engineering, University of Bath, Bath, UK.
Chaoying WanInternational Institute for Nanocomposites Manufacturing (IINM), WMG, University of Warwick, Coventry, CV4 7AL, UK.
Xiaolong GaoCollege of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, 100029, China.
Chris BowenDepartment of Mechanical Engineering, University of Bath, Bath, UK.
Min PanDepartment of Mechanical Engineering, University of Bath, Bath, UK.ORCID https://orcid.org/0000-0002-2901-3388
University of Bath · GBBeijing University of Chemical Technology · CNUniversity of Warwick · GB

Funding

Leverhulme Trust Leverhulme Research Fellowship RF-2020-503University of Bath Alumni Fund F1920A-RS02
6 · The paper itself

Abstract

Soft robotic bodies are susceptible to mechanical fatigue, punctures, electrical breakdown, and aging, which can result in the degradation of performance or unexpected failure. To overcome these challenges, a soft self-healing robot is created using a thermoplastic methyl thioglycolate-modified styrene-butadiene-styrene (MG-SBS) elastomer tube fabricated by melt-extrusion, to allow the robot to self-heal autonomously at room temperature. After repeated damage and being separated into several parts, the robot is able to heal its stiffness and elongation to break to enable almost complete recovery of robot performance after being allowed to heal at room temperature for 24 h. The self-healing capability of the robot is examined across the material scale to robot scale by detailed investigations of the healing process, healing efficiency, mechanical characterization of the robot, and assessment of dynamic performance before and after healing. The self-healing robot is driven by a new micro two-way shape-memory alloy (TWSMA) spring actuator which achieved a crawling speed of 21.6 cm/min, equivalent to 1.57 body length per minute. An analytical model of the robot is created to understand the robot dynamics and to act as an efficient tool for self-healing robot design and optimization. This work therefore provides a new methodology to create efficient, robust, and damage-tolerant soft robots.

Indexed as

micro two-way shape memory alloy springself-healing elastomersself-healing robotssoft robots

Identifiers

PMID37984867
PMCPMC10787064
OpenAlexW4388851605

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.