Evidence map›Paper›PMID 39170250›Full record

ArticleHeliyon2024

Predictive modelling and optimization of WEDM parameter for Mg-Li alloy using ANN integrated CRITIC-WASPAS approach.

V Kavimani, P M Gopal, Sumesh Keerthiveettil Ramakrishnan, Jayant Giri, Abdullah Alarifi, T Sathish

Abstract read
PubMed Full text at PMC Publisher
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 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

6 authors.

V KavimaniDepartment of Mechanical Engineering, Karpagam Academy of Higher Education, Coimbatore, India.
P M GopalDepartment of Mechanical Engineering, Karpagam Academy of Higher Education, Coimbatore, India.
Sumesh Keerthiveettil RamakrishnanFaculty of Mechanical Engineering, Department of Materials Engineering, Czech Technical University in Prague, Karlovonamesti 13, Prague 02, 12000, Prague, Czech Republic.
Jayant GiriDepartment of Mechanical Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, India.
Abdullah AlarifiDepartment of Chemistry, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia.
T SathishSaveetha School of Engineering, SIMATS, Chennai, 602 105, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work intended to improve the precision and machining efficiency of Magnesium alloy (Mg-Li-Sr) using Wire electrical discharge machining (WEDM). Mg-Li-Sr alloy is prepared through inert gas assisted stir casting route. Taguchi approach is used for experimental design for WEDM parameter such as pulse OFF time, pulse ON time, wire feed rate, servo voltage and current. L27 orthogonal array is considered to understand the influence of control parameter such as Kerf Width (KW), Roughness of the surface (Ra), Material Removal Rate (MRR). Integration of the CRITIC (Criteria Importance Through Intercriteria Correlation) -WASPAS (Weighted Aggregated Sum Product Assessment) multi-objective optimization method with Artificial Neural Network (ANN) modelling with different network structure for prediction and optimization is a novel approach that significantly improves prediction accuracy and machining outcomes. The developed ANN model with better R

Indexed as

ANNCRITIC-WASPASMg-Li alloyModelling and optimizationWEDM

Identifiers

PMID39170250
PMCPMC11336484

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.