Ultrasonic Vibratory Drilling Carbon Fiber/Graphene Nanoparticle Reinforced Polymers to Produce Desired Hole Quality: Experimental Analysis and Optimization

Carbon fiber-reinforced polymers are widely used in advanced applications due to their superb specifications. One of the principal problems in drilling such polymers is delamination which deteriorates the composite strength and can lead to part rejection during assembly. Ultrasonic vibration-assisted drilling is a newly developed machining method that induces higher workpiece quality. In this study, a comprehensive experimental examination was conducted with both mechanical and materialistic views. The materialistic parameters include graphene nanoparticles and lay-up arrangement. Furthermore, the mechanical parameters include drilling feed rate, tool type, and ultrasonic vibration. To follow this aim, different carbon fiber-reinforced polymer specimens were fabricated with various lay-up arrangements and graphene nanoparticle amounts. Besides, an analysis of variance was utilized to indicate the significant parameters. The results showed that the feed rate has the most effect on thrust force and delamination damage. Besides, graphene nanoparticles% and tool type were the significant parameters of delamination. To find the optimal settings, grey relational analysis was used. That was suggested to produce carbon fiber-reinforced polymer segments with symmetrical lay-up arrangements to reduce delamination damage. Furthermore, a lower feed rate value with 5% cobalt high-speed steel tool was suggested. Exerting ultrasonic vibration on the tool was also beneficial to improve the hole quality.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-04-01
DOI
https://doi.org/10.22060/ajme.2025.23532.6143
Citations
1
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
0.71
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ultrasonic Vibratory Drilling Carbon Fiber/Graphene Nanoparticle Reinforced Polymers to Produce Desired Hole Quality: Experimental Analysis and Optimization

1 citations
SHILAP Revista de lepidopterología
Advanced machining processes and optimization
0.71
article

Ultrasonic Vibratory Drilling Carbon Fiber/Graphene Nanoparticle Reinforced Polymers to Produce Desired Hole Quality: Experimental Analysis and Optimization

article en
1 citations

Abstract

Carbon fiber-reinforced polymers are widely used in advanced applications due to their superb specifications. One of the principal problems in drilling such polymers is delamination which deteriorates the composite strength and can lead to part rejection during assembly. Ultrasonic vibration-assisted drilling is a newly developed machining method that induces higher workpiece quality. In this study, a comprehensive experimental examination was conducted with both mechanical and materialistic views. The materialistic parameters include graphene nanoparticles and lay-up arrangement. Furthermore, the mechanical parameters include drilling feed rate, tool type, and ultrasonic vibration. To follow this aim, different carbon fiber-reinforced polymer specimens were fabricated with various lay-up arrangements and graphene nanoparticle amounts. Besides, an analysis of variance was utilized to indicate the significant parameters. The results showed that the feed rate has the most effect on thrust force and delamination damage. Besides, graphene nanoparticles% and tool type were the significant parameters of delamination. To find the optimal settings, grey relational analysis was used. That was suggested to produce carbon fiber-reinforced polymer segments with symmetrical lay-up arrangements to reduce delamination damage. Furthermore, a lower feed rate value with 5% cobalt high-speed steel tool was suggested. Exerting ultrasonic vibration on the tool was also beneficial to improve the hole quality.

SHILAP Revista de lepidopterología
University of Kashan (IR), Arak University of Technology (IR)
Openalex Percentile: Top 24%
Advanced machining processes and optimization
0.71
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.