Evidence map›Paper›PMID 39247355›Full record

ArticleHeliyon2024

Effect of powder composition, PTAW parameters on dilution, microstructure and hardness of Ni-Cr-Si-B alloy deposition: Experimental investigation and prediction using machine learning technique.

Venkatesh Chenrayan, Kiran Shahapurkar, Chandru Manivannan, L Rajeshkumar, N Sivakumar, R Rajesh Sharma, R Venkatesan

Abstract read
In one paragraph

Article in Heliyon, 2024. 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. Issues Relative to the Welding of Nickel and Its Alloys.Materials (Basel, Switzerland) · 2025
    Review
  4. 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.

Venkatesh ChenrayanAU-Sophisticated Testing and Instrumentation Centre (AU-STIC) and Department of Mechanical Engineering, Alliance School of Applied Engineering, Alliance University, Bengaluru, 562106, India.
Kiran ShahapurkarCentre of Molecular Medicine and Diagnostics (COMManD), Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, 600077, India.
Chandru ManivannanDepartment of Mechanical Engineering, Dhirajlal Gandhi College of Technology, Salem, India.
L RajeshkumarAU-Sophisticated Testing and Instrumentation Centre (AU-STIC) and Department of Mechanical Engineering, Alliance School of Applied Engineering, Alliance University, Bengaluru, 562106, India.
N SivakumarDepartment of Computer Science Engineering, School of Advanced Computing, Alliance University, Bengaluru, India.
R Rajesh SharmaDepartment of Computer Science Engineering, School of Advanced Computing, Alliance University, Bengaluru, India.
R VenkatesanDepartment of Mechanical Engineering, SRM-TRP Engineering College, Tiruchirapalli, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The implementation of hard-facing alloy on the existing materials caters the need for high-performance surfaces in terms of wear and high temperatures. The present research explore the effect of Plasma Transferred Arc Welding (PTAW) parameters and powder composition on dilution, microstructure and hardness of the commonly used hard-facing alloy Ni-Cr-Si-B powder. The hard-facing alloy was deposited with three weight proportions of boron (2.5 %, 3 % and 3.5 %). The statistical-based Grey Relational Analysis (GRA) followed by a Machine Learning Algorithm (MLA) was implemented to identify the ideal parameters and degree of significance of each parameter and for the prediction of the responses. The dilution percentage, microstructure analysis, and phase detection were estimated through elemental analysis, Scanning electron Microscopy (SEM) and X-ray Diffraction Analysis (XRD) respectively. The experimental and modelling results revealed that 400 mm/min of scanning speed, 8 gm/min of powder delivery, 14 mm of stand-off distance, and 120 A of current were the optimal parameters along with 3.5 wt% of boron powder composition to yield a better dilution, microstructure and hardness.

Indexed as

Chromium borideDilutionGRAGrain growthHeat affected zoneMachine learning

Identifiers

PMID39247355
PMCPMC11378951

What OpenQuestion holds

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LicenceCC BY-NC
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.