Evidence map›Paper›PMID 35888473›Full record

ArticleMaterials (Basel, Switzerland)2022

Searching New Solutions for NiTi Sensors through Indirect Additive Manufacturing.

Pedro Carreira, Daniel Gatões, Nuno Alves, Ana Sofia Ramos, Maria Teresa Vieira

Open access · goldAbstract read
In one paragraph

Article in Materials (Basel, Switzerland), 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
0.5field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  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

5 authors at 2 institutions in 1 country.

Pedro CarreiraCDRSP-Centre for Rapid and Sustainable Product Development, Polytechnic Institute of Leiria, 2411-901 Leiria, Portugal.ORCID 0000-0002-4698-3650
Daniel GatõesUniversity of Coimbra, CEMMPRE-Centre for Mechanical Engineering, Materials and Processes, Department of Mechanical Engineering, Polo II, R. Luís Reis Santos, 3030-788 Coimbra, Portugal.ORCID 0000-0001-8078-6530
Nuno AlvesCDRSP-Centre for Rapid and Sustainable Product Development, Polytechnic Institute of Leiria, 2411-901 Leiria, Portugal.ORCID 0000-0002-5016-0868
Ana Sofia RamosUniversity of Coimbra, CEMMPRE-Centre for Mechanical Engineering, Materials and Processes, Department of Mechanical Engineering, Polo II, R. Luís Reis Santos, 3030-788 Coimbra, Portugal.ORCID 0000-0002-8486-5436
Maria Teresa VieiraUniversity of Coimbra, CEMMPRE-Centre for Mechanical Engineering, Materials and Processes, Department of Mechanical Engineering, Polo II, R. Luís Reis Santos, 3030-788 Coimbra, Portugal.ORCID 0000-0001-9981-3826
University of Coimbra · PTInstituto Politécnico de Leiria · PT

Funding

Fundação para a Ciência e Tecnologia PTDC/CTM-CTM/29101/2017Fundação para a Ciência e Tecnologia UIDB/EMS/00285/2020
6 · The paper itself

Abstract

Shape Memory Alloys (SMAs) can play an essential role in developing novel active sensors for self-healing, including aeronautical systems. However, the NiTi SMAs available in the market are almost limited to wires, small sheets, and coatings. This restriction is mainly due to the difficulty in processing NiTi through conventional processes. Thus, the objective of this study is to evaluate the potential of one of the most promising routes for NiTi additive manufacturing-material extrusion (MEX). Optimizing the different steps during processing is mandatory to avoid brittle secondary phases formation, such as Ni

Indexed as

additive manufacturing (AM)Metal Extrusion (MEX)Nickel-Titanium (NiTi)Shape Memory Alloys (SMAs)Titanium Hydride (TiH2)

Identifiers

PMID35888473
PMCPMC9319937
OpenAlexW4285793802

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.