Experimental Investigation of the Machinability of Basalt Fiber Reinforced Epoxy Matrix Composites and the Effect of Nanoparticle Additives on Machining Quality

In this study, basalt fiber-reinforced epoxy matrix composite materials were produced using hand lay-up and vacuum infusion methods, both in their unreinforced form and with the addition of 0.25 wt% multi-wallet carbon nanotube (MWCNT) and 0.5 wt% hexagonal boron nitride (h-BN) nanoparticles.Additionally, hybrid basalt fiber-reinforced epoxy matrix composites were manufactured by keeping the MWCNT content constant at 0.25 wt% while varying the h-BN reinforcement levels to 0.25 wt%, 0.5 wt%, and 0.75 wt%.The effects of nanoparticle reinforcement, cutting speed, and feed rate on parameters such as cutting force, delamination, and average surface roughness (Ra) during drilling processes were investigated.Among the cutting forces observed, the lowest thrust forces during drilling were achieved for all samples at a feed rate of 300 mm/min and a spindle speed of 4800 rpm.When comparing reinforcement levels, the lowest cutting force values were obtained in sample N5, which contained the highest h-BN nanoparticle reinforcement.In terms of surface roughness, the lowest value of 0.95 m was achieved for sample N5 at a feed rate of 300 mm/min and a spindle speed of 4800 rpm during the drilling process.Regarding delamination, it was observed that increasing h-BN content, combined with low feed rates and high spindle speeds, reduced delamination damage in drilling processes

Authors

Publication Details

Journal
Gazi Journal of Engineering Sciences
Published
2025-08-31
DOI
https://doi.org/10.30855/gmbd.070525a11
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experimental Investigation of the Machinability of Basalt Fiber Reinforced Epoxy Matrix Composites and the Effect of Nanoparticle Additives on Machining Quality

Necati Ataberk, Mehmet Tongur
Gazi Journal of Engineering Sciences
Advanced machining processes and optimization
article

Experimental Investigation of the Machinability of Basalt Fiber Reinforced Epoxy Matrix Composites and the Effect of Nanoparticle Additives on Machining Quality

Necati Ataberk, Mehmet Tongur
article en

Abstract

In this study, basalt fiber-reinforced epoxy matrix composite materials were produced using hand lay-up and vacuum infusion methods, both in their unreinforced form and with the addition of 0.25 wt% multi-wallet carbon nanotube (MWCNT) and 0.5 wt% hexagonal boron nitride (h-BN) nanoparticles.Additionally, hybrid basalt fiber-reinforced epoxy matrix composites were manufactured by keeping the MWCNT content constant at 0.25 wt% while varying the h-BN reinforcement levels to 0.25 wt%, 0.5 wt%, and 0.75 wt%.The effects of nanoparticle reinforcement, cutting speed, and feed rate on parameters such as cutting force, delamination, and average surface roughness (Ra) during drilling processes were investigated.Among the cutting forces observed, the lowest thrust forces during drilling were achieved for all samples at a feed rate of 300 mm/min and a spindle speed of 4800 rpm.When comparing reinforcement levels, the lowest cutting force values were obtained in sample N5, which contained the highest h-BN nanoparticle reinforcement.In terms of surface roughness, the lowest value of 0.95 m was achieved for sample N5 at a feed rate of 300 mm/min and a spindle speed of 4800 rpm during the drilling process.Regarding delamination, it was observed that increasing h-BN content, combined with low feed rates and high spindle speeds, reduced delamination damage in drilling processes

Gazi Journal of Engineering SciencesVol. 11(2)
Necmettin Erbakan Üniversitesi
Openalex Percentile: Top 62%
Advanced machining processes and optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.