Influence of carbon variation on the microstructure and hardness of CrTiAlCN coatings

This study investigates the effect of varied carbon content on the microstructure and mechanical behavior of CrTiAlCN coatings deposited on Si wafers using unbalanced magnetron sputtering in an argon (Ar), nitrogen (N 2 ) and acetylene (C 2 H 2 ) gas mixture. In order to achieve varying carbon contents, coatings were deposited using different C 2 H 2 flow rates. The structural, morphological, surface chemical binding states, nanostructure, and nanohardness of the CrTiAlCN coatings were analyzed using microstructural and mechanical characterizations. The results reveal that increasing carbon content considerably influences the microstructural evolution of the CrTiAlCN coatings, driving a transition from columnar morphology to a more compact and refined structure. Such densification enhances hardness, primarily due to lattice distortions caused by incorporated carbon atoms and the formation of stronger chemical bonds (e.g., Ti–C, Al–C). However, excessive carbon incorporation likely results in the formation of amorphous carbon-rich phases, which act as soft inclusions, thereby reducing nanohardness. These results underscore the importance of optimizing carbon content in CrTiAlCN coatings to achieve an optimal balance between microstructural integrity and mechanical performance, rendering them highly effective for advanced tool protection applications.

Authors

Institutions

Publication Details

Journal
Journal of Materials Research and Technology
Published
2025-04-04
DOI
https://doi.org/10.1016/j.jmrt.2025.03.300
Primary Topic
Metal and Thin Film Mechanics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Influence of carbon variation on the microstructure and hardness of CrTiAlCN coatings

Anand Vyas, Awais Akhtar, Haihui Ruan
Journal of Materials Research and Technology
Metal and Thin Film Mechanics
article

Influence of carbon variation on the microstructure and hardness of CrTiAlCN coatings

Anand Vyas, Awais Akhtar, Haihui Ruan
article en

Abstract

This study investigates the effect of varied carbon content on the microstructure and mechanical behavior of CrTiAlCN coatings deposited on Si wafers using unbalanced magnetron sputtering in an argon (Ar), nitrogen (N 2 ) and acetylene (C 2 H 2 ) gas mixture. In order to achieve varying carbon contents, coatings were deposited using different C 2 H 2 flow rates. The structural, morphological, surface chemical binding states, nanostructure, and nanohardness of the CrTiAlCN coatings were analyzed using microstructural and mechanical characterizations. The results reveal that increasing carbon content considerably influences the microstructural evolution of the CrTiAlCN coatings, driving a transition from columnar morphology to a more compact and refined structure. Such densification enhances hardness, primarily due to lattice distortions caused by incorporated carbon atoms and the formation of stronger chemical bonds (e.g., Ti–C, Al–C). However, excessive carbon incorporation likely results in the formation of amorphous carbon-rich phases, which act as soft inclusions, thereby reducing nanohardness. These results underscore the importance of optimizing carbon content in CrTiAlCN coatings to achieve an optimal balance between microstructural integrity and mechanical performance, rendering them highly effective for advanced tool protection applications.

Journal of Materials Research and TechnologyVol. 36
Hong Kong Polytechnic University (HK)
Openalex Percentile: Top 93%
Metal and Thin Film Mechanics
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.