Evidence map›Paper›PMID 35750791›Full record

ArticleScientific reports2022

Design and development of non-magnetic hierarchical actuator powered by shape memory alloy based bipennate muscle.

Kanhaiya Lal Chaurasiya, A Sri Harsha, Yashaswi Sinha, Bishakh Bhattacharya

Abstract read
In one paragraph

Article in Scientific reports, 2022. 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. Article
  2. 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

4 authors.

Kanhaiya Lal ChaurasiyaDepartment of Mechanical Engineering, Indian Institute of Technology Kanpur, Kanpur, 208016, India.
A Sri HarshaDepartment of Mechanical Engineering, Indian Institute of Technology Kanpur, Kanpur, 208016, India.
Yashaswi SinhaDepartment of Mechanical Engineering, Indian Institute of Technology Kanpur, Kanpur, 208016, India.
Bishakh BhattacharyaDepartment of Mechanical Engineering, Indian Institute of Technology Kanpur, Kanpur, 208016, India. bishakh@iitk.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Actuators are ubiquitous to generate controlled motion through the application of suitable excitation force or torque to perform various operations in manufacturing and industrial automation. The demands placed on faster, smaller, and efficient actuators drive innovation in actuator development. Shape memory alloy (SMA) based actuators have multiple advantages over conventional actuators, including high power-to-weight ratio. This paper integrates the advantages of pennate muscle of a biological system and the unique properties of SMA to develop SMA-based bipennate actuator. The present study explores and expands on the previous SMA actuators by developing the mathematical model of the new actuator based on the bipennate arrangement of the SMA wires and experimentally validating it. The new actuator is found to deliver at least five times higher actuation forces (up to 150 N) in comparison to the reported SMA-based actuators. The corresponding weight reduction is about 67%. The results from the sensitivity analysis of the mathematical model facilitates customization of the design parameters and understanding critical parameters. This study further introduces an Nth level hierarchical actuator that can be deployed for further amplification of actuation forces. The SMA-based bipennate muscle actuator has broad applications ranging from building automation controls to precise drug delivery systems.

Indexed as

MusclesShape Memory AlloysEquipment DesignMotionTorqueShape Memory Alloys

Identifiers

PMID35750791
PMCPMC9232532

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Registered trials

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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.