Evidence map›Paper›PMID 34450947›Full record

ArticleSensors (Basel, Switzerland)2021

Development of a Combined Micro-Macro Mechanics Analytical Approach to Design Shape Memory Alloy Spring-Based Actuators and Its Experimental Validation.

Aniello Riccio, Carmine Napolitano, Andrea Sellitto, Valerio Acanfora, Mauro Zarrelli

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Research on Linear Actuators for Active Foil Bearings.Materials (Basel, Switzerland) · 2022
    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

5 authors.

Aniello RiccioDepartment of Engineering, University of Campania "Luigi Vanvitelli", 81031 Aversa, CE, Italy.ORCID 0000-0001-7426-6803
Carmine NapolitanoDepartment of Engineering, University of Campania "Luigi Vanvitelli", 81031 Aversa, CE, Italy.
Andrea SellittoDepartment of Engineering, University of Campania "Luigi Vanvitelli", 81031 Aversa, CE, Italy.ORCID 0000-0001-7766-8250
Valerio AcanforaDepartment of Engineering, University of Campania "Luigi Vanvitelli", 81031 Aversa, CE, Italy.ORCID 0000-0002-1222-5683
Mauro ZarrelliNational Research Council of Italy (CNR), Institute for Polymers, Composites and Biomaterials (IPCB), 80055 Portici, NA, Italy.ORCID 0000-0002-5018-5512

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, an analytical procedure for the preliminary design of shape memory alloy spring-based actuators is investigated. Two static analytical models are considered and interconnected in the frame of the proposed procedure. The first model, based on the works from An, is able to determine the material properties of the SMA components by means of experimental test data and is able to size the SMA component based on the requirements of the system. The second model, based on a work from Spaggiari, helps to design and size an antagonist spring system that allows one to obtain the geometric characteristics of springs (SMA and bias) and the mechanical characteristics of the entire actuator. The combined use of these models allows one to define and size a complex SMA actuator based on the actuation load requirements. To validate the design procedure, static experimental tests have been performed with the entire SMA actuator.

Indexed as

AlloysShape Memory AlloysEquipment DesignAlloysShape Memory Alloysanalytical modelsexperimental analysisshape memory alloySMA actuators

Identifiers

PMID34450947
PMCPMC8399900

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.