ArticleScientific reports2026
A hybrid RSM-Spherical Fuzzy AHP-Fuzzy VIKOR approach for optimizing drilling of AM60 magnesium alloy using biodegradable MQL.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study investigates the effect of soybean-oil-based biodegradable cutting fluids on the drilling performance of AM60 magnesium alloy under dry, wet, and Minimum Quantity Lubrication (MQL) conditions to enhance machining efficiency and support sustainable manufacturing. A hybrid decision-making framework combining Response Surface Methodology (RSM) for modeling, Spherical Fuzzy AHP for criterion weighting, and Fuzzy VIKOR for ranking was implemented. Experiments were conducted using synthetic, semi-synthetic, and biodegradable MQL, with statistical validation via ANOVA, independent T-tests, and Tukey's HSD. Biodegradable MQL achieved the highest material removal rate (13.1 cm³/min), lowest surface roughness (2.3 μm), and minimum tool wear (6.8 μm) at 3000 RPM, 0.1 mm/min feed, and 0.75 mm depth of cut. Significant improvement in MRR was observed compared to synthetic lubrication (p = 0.045), while other geometric and dimensional responses showed comparable performance. The integrated hybrid framework effectively predicted machining responses and identified optimal drilling conditions. These results highlight biodegradable MQL as a sustainable alternative to conventional lubricants, offering practical benefits for high-precision applications in aerospace and automotive sectors, while demonstrating the efficacy of the RSM-Spherical Fuzzy AHP-Fuzzy VIKOR approach for multi-criteria optimization in magnesium alloy drilling.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.