Evidence map›Paper›PMID 40753344›Full record

ArticleScientific reports2025

EDM-based analysis of Fe-based shape memory alloys using Cu-W electrodes with multiple output optimization and microstructural validation.

Ranjit Singh, Sambit Satpathy, Dhirendra Kumar Shukla, Ravi Pratap Singh, Rajeev Trehan, Jibitesh Kumar Panda, Biplab Bhattacharjee

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

7 authors.

Ranjit SinghDepartment of Industrial and Production Engineering, NIT Jalandhar, Jalandhar, 144027, Panjab, India.
Sambit SatpathyCSE Department, Galgotias College of Engineering and Technology, Greater Noida, Uttar Pradesh, 201306, New Delhi, India.
Dhirendra Kumar ShuklaCSE Department, Galgotias University, Greater Noida, 203201, Uttar Pradesh, India.
Ravi Pratap SinghDepartment of Industrial and Production Engineering, NIT Jalandhar, Jalandhar, 144027, Panjab, India.
Rajeev TrehanDepartment of Industrial and Production Engineering, NIT Jalandhar, Jalandhar, 144027, Panjab, India.
Jibitesh Kumar PandaDepartment of Mechatronics, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India. jibitesh.panda@manipal.edu.
Biplab BhattacharjeeDepartment of Mechanical Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Ramapuram, Chennai, 600089, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shape Memory Alloys (SMAs) are pivotal in diverse industrial applications due to their exceptional properties, including actuation, biocompatibility, and adaptability in aerospace, biomedical, and military domains. However, their complex machinability often leads to high costs and suboptimal surface quality when processed using traditional methods. Using Response Surface Methodology (RSM) with a Central Composite Design (CCD), this study evaluated the effects of input parameters, including pulse on time (T

Indexed as

CCDDesirabilityEDMRSMSEMSMAWOTEWOW

Identifiers

PMID40753344
PMCPMC12318125

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.