ArticleScientific reports2026
A novel sustainable hybrid intuitionistic fuzzy decision-making model for machinability ranking of Al-Cu-Mg-SiC-graphite-peanut shell hybrid composites.
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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study presents the development and systematic evaluation of novel aluminum-based metal matrix composites (AMMCs) reinforced with silicon carbide (SiC), graphite, and peanut shell ash (PSA), alloyed with copper (Cu) and magnesium (Mg), to enhance machinability, mechanical performance, and sustainability. Two hybrid composites were fabricated using stir casting: Sample A (Al-82%, SiC-5%, Cu-2%, Mg-1%, PSA-10%) and Sample B (Al-80%, SiC-10%, Cu-3%, Mg-2%, PSA-5%). The composites were characterized through microstructural analysis, tensile testing, hardness, FTIR (Fourier-Transform Infrared Spectroscopy), DSC (Differential Scanning Calorimetry), UV-Vis (Ultraviolet-Visible Spectroscopy), and XRD (X-Ray Diffraction). Machining trials were conducted under conventional and ultrasonic-assisted conditions, with machining parameters including cutting speed (A) ranging from 11 to 42 mm/min (mean: 26.51 mm/min, standard deviation: 13.22), feed rate (B) ranging from 0.05 to 0.15 mm/rev (mean: 0.098 mm/rev, standard deviation: 0.037), and depth of cut (C) varying from 0.5 to 0.95 mm (mean: 0.698 mm, standard deviation: 0.168), all treated as continuous numeric variables. Optimization was performed using Response Surface Methodology (D-optimal, reduced quadratic model) integrated with Fuzzy AHP and Intuitionistic Fuzzy MARCOS. Results indicated that Sample A exhibited superior ductility, energy absorption, and thermal stability due to the presence of bio-carbon phases, while Sample B demonstrated higher hardness, strength, and thermal conductivity attributed to refined SiC-Cu reinforcements. FTIR confirmed organic phases in Sample A and stronger inorganic bonding in Sample B, whereas XRD revealed crystalline SiC/Cu peaks in Sample B and amorphous bio-carbon in Sample A. Among machining runs, optimum performance was achieved in Run 7 (cutting speed: 42 mm/min, feed rate: 0.05 mm/rev, depth of cut: 0.85 mm, Sample B), with low surface roughness (1.118 µm), minimal tool wear (2.94 µm), high material removal rate (10.764 cm
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.