Evidence map›Paper›PMID 38473478›Full record

ArticleMaterials (Basel, Switzerland)2024

NiTi-Cu Bimetallic Structure Fabrication through Wire Arc Additive Manufacturing.

Shalini Singh, Elena Demidova, Natalia Resnina, Sergey Belyaev, Palani Anand Iyamperumal, Christ Prakash Paul, Konda Gokuldoss Prashanth

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Shalini SinghMechatronics and Instrumentation Laboratory, Discipline of Mechanical Engineering, Indian Institute of Technology Indore, Indore 453552, Madhya Pradesh, India.ORCID 0000-0002-2724-0587
Elena DemidovaDepartment of General Mathematics & Informatics, Saint-Petersburg State University, Saint-Petersburg 199034, Russia.
Natalia ResninaDepartment of General Mathematics & Informatics, Saint-Petersburg State University, Saint-Petersburg 199034, Russia.
Sergey BelyaevDepartment of General Mathematics & Informatics, Saint-Petersburg State University, Saint-Petersburg 199034, Russia.
Palani Anand IyamperumalMechatronics and Instrumentation Laboratory, Discipline of Mechanical Engineering, Indian Institute of Technology Indore, Indore 453552, Madhya Pradesh, India.
Christ Prakash PaulRaja Ramanna Centre for Advanced Technology, Indore 452013, Madhya Pradesh, India.
Konda Gokuldoss PrashanthDepartment of Mechanical and Industrial Engineering, Tallinn University of Technology, 19086 Tallinn, Estonia.ORCID 0000-0001-5644-2527

Funding

DST-RSF joint funding RSF # 19-49-02014, DST #DST/INT/RUS/RSF/P-36
6 · The paper itself

Abstract

This study endeavors to comprehensively explore and elucidate the seamless integration of NiTi shape memory alloys (SMAs) into multifaceted applications through the utilization of novel joining techniques. The primary focus lies in the utilization of wire arc additive manufacturing (WAAM) to deposit Nitinol (NiTi) onto Copper (Cu), thereby introducing a transformative approach for their integration into electro-mechanical systems and beyond. Through a detailed examination of the NiTi/Cu bimetallic junction, using advanced analytical techniques including SEM, XRD, and DSC analyses, this research aims to unravel the intricate complexities inherent within the interface. The SEM images and X-ray patterns obtained reveal a complex and nuanced interface characterized by a broad mixed zone comprising various constituents, including Ti(Ni,Cu)

Indexed as

shape memory alloysstructurewire arc additive manufacturing

Identifiers

PMID38473478
PMCPMC10933859

What OpenQuestion holds

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LicenceCC BY
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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.