Wear and compression behavior study of carbon nanotube in aluminium Nano composites

In this study, carbon nanotube (CNT) reinforced in aluminium (Al) matrix for different weight percentages were fabricated by powder metallurgy (PM). A mechanical mixing process i.e. ball milling which employs mechanical alloying technique and results in effective dispersion of CNTs in aluminium powder was employed and two different ball materials namely tungsten ball and aluminium oxide ball was used for same composition of CNT/Al composites in order to understand different mill ball material effects on mechanical properties of CNT/Al composites. The powder mixtures were consolidated by microwave sintering. The microstructural analysis of both ball milled powder and sintered specimen were carried out where in case of powder samples effective dispersion of CNTs in aluminium powder was observed and in case of solid sintered samples the grain boundaries and bonding between the particles was observed. The wear test, the compression test of CNT and Al composites was carried out. The considered weight percentages varied from 0.5% to 1.3% for both alumina ball milled and tungsten ball milled specimens. The alumina ball milled specimens was observed to have high compressive strength and improved wear behaviour compared to tungsten ball milled specimens but in both cases 1.3 wt. % CNT reinforced samples showed best results. With CNT reinforcement Al, grains were refined under the pinning effect of CNTs at grain boundaries. The results proved that the alumina ball milled samples with 1.3 wt. percentage CNT reinforced composites had improved compression and wear behavior.

Authors

Publication Details

Journal
International Journal of Engineering & Technology
Published
2026-04-20
DOI
https://doi.org/10.14419/ijet.v7i3.29.19185
Primary Topic
Aluminum Alloys Composites Properties
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Wear and compression behavior study of carbon nanotube in aluminium Nano composites

Anupama B. Somanakatti, Prashant S. Hatti, Dr K. Narasimha
International Journal of Engineering & Technology
Aluminum Alloys Composites Properties
article

Wear and compression behavior study of carbon nanotube in aluminium Nano composites

Anupama B. Somanakatti, Prashant S. Hatti, Dr K. Narasimha
article en

Abstract

In this study, carbon nanotube (CNT) reinforced in aluminium (Al) matrix for different weight percentages were fabricated by powder metallurgy (PM). A mechanical mixing process i.e. ball milling which employs mechanical alloying technique and results in effective dispersion of CNTs in aluminium powder was employed and two different ball materials namely tungsten ball and aluminium oxide ball was used for same composition of CNT/Al composites in order to understand different mill ball material effects on mechanical properties of CNT/Al composites. The powder mixtures were consolidated by microwave sintering. The microstructural analysis of both ball milled powder and sintered specimen were carried out where in case of powder samples effective dispersion of CNTs in aluminium powder was observed and in case of solid sintered samples the grain boundaries and bonding between the particles was observed. The wear test, the compression test of CNT and Al composites was carried out. The considered weight percentages varied from 0.5% to 1.3% for both alumina ball milled and tungsten ball milled specimens. The alumina ball milled specimens was observed to have high compressive strength and improved wear behaviour compared to tungsten ball milled specimens but in both cases 1.3 wt. % CNT reinforced samples showed best results. With CNT reinforcement Al, grains were refined under the pinning effect of CNTs at grain boundaries. The results proved that the alumina ball milled samples with 1.3 wt. percentage CNT reinforced composites had improved compression and wear behavior.

International Journal of Engineering & TechnologyVol. 7(3.29)
Openalex Percentile: Top 10%
Aluminum Alloys Composites Properties
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.