Evidence map›Paper›PMID 42354778›Full record

ArticleMicromachines2026

Flow Behaviour of Liquid and Gaseous Dielectrics and Debris Transport in the Inter-Electrode Gap of Micro-EDM Milling: A CFD Study.

Mohammad Bigdeli, Francesco Giovanni Modica, Valeria Marrocco, Irene Fassi

Abstract read
In one paragraph

Article in Micromachines, 2026. 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

4 authors.

Mohammad BigdeliInstitute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, National Research Council of Italy-STIIMA-CNR, Via P. Lembo 38/F, 70124 Bari, Italy.
Francesco Giovanni ModicaInstitute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, National Research Council of Italy-STIIMA-CNR, Via P. Lembo 38/F, 70124 Bari, Italy.ORCID 0000-0003-4025-645X
Valeria MarroccoInstitute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, National Research Council of Italy-STIIMA-CNR, Via P. Lembo 38/F, 70124 Bari, Italy.ORCID 0000-0002-5499-2389
Irene FassiInstitute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, National Research Council-STIIMA-CNR, Via A. Corti 12, 20133 Milan, Italy.ORCID 0000-0002-6144-2123

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents a transient computational fluid dynamics (CFD) analysis of dielectric flow behaviour and debris transport in micro-EDM milling, considering the effects of dielectric properties, inter-electrode gap (IEG) size (20-30 µm), and tool rotational speed (400-850 rpm). Four dielectric media, nitrogen gas, deionized water, HEDMA111 EDM oil, and sunflower seed oil, were investigated using a two-dimensional FEM-based model coupled with particle tracking simulations to evaluate debris mobility within the machining region. The results demonstrate that dielectric properties, particularly viscosity, strongly influence hydrodynamic behaviour and particle transport within the IEG. Under the adopted equal mass flow rate condition, nitrogen gas exhibited the highest flow velocities and the fastest debris evacuation due to the combined effects of its low viscosity and the resulting higher inlet velocity. Deionized water and HEDMA111 oil exhibit comparable intermediate behaviour, indicating that moderate viscosity variations within liquid dielectrics do not significantly alter the overall flow regime. In contrast, sunflower seed oil generates the most damped flow conditions, with reduced velocities and prolonged particle residence due to increased viscous resistance. Variations in IEG size produce only minor changes in evacuation efficiency compared with the dominant influence of dielectric properties, while tool rotational speed primarily affects velocity magnitude without altering qualitative transport behaviour.

Indexed as

debris transportdielectric fluidflushing efficiencyinter-electrode gap (IEG)k–ω turbulence modelmicro-EDM millingparticle tracing

Identifiers

PMID42354778
PMCPMC13303725

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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.