An inclusive parametric study for performance improvement in WEDM process of pure titanium using Naive Bayes classifier.

Jay Vora, Shahil Rathod, Masoud Seidi, Saeed Yaghoubi, Rakesh Chaudhari, Subraya Krishna Bhat

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. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jay VoraDepartment of Mechanical Engineering, School of Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat, 382007, India.

Shahil RathodDepartment of Mechanical Engineering, School of Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat, 382007, India.

Masoud SeidiDepartment of Computer Engineering, Faculty of Engineering, Ilam University, Ilam, Iran.

Saeed YaghoubiDepartment of Mechanical Engineering, Faculty of Engineering, Ilam University, Ilam, Iran. S.yaghoubi@ilam.ac.ir.

Rakesh ChaudhariDepartment of Mechanical Engineering, School of Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat, 382007, India. Rakesh.chaudhari@sot.pdpu.ac.in.

Subraya Krishna BhatDepartment of Mechanical and Industrial Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India. sk.bhat@manipal.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Titanium alloys have exceptional hardness and high toughness, which can cause significant challenges in traditional machining. Wire-electrical discharge machining (WEDM) process offers excellent accuracy and high precision compared to conventional machines. Design of experimental (DOE) technique provides a systematic way to conduct the experimental runs with the least trials by saving time and cost. Thus, the current work focuses on the modelling of WEDM process at numerous input process environments using Taguchi and BBD-RSM approach. The variable input factors of WEDM process include pulse-on-time (T

Indexed as

Box–Behnken designDesign of experimentNaive BayesTaguchi designWire-electrical discharge machining

Identifiers

PMID41068309

DOI10.1038/s41598-025-19360-5

PMCPMC12511615

What Socratic 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 Socratic graph.