Multilayered Polyimide Nanocomposite Coatings for Enhanced Tribological Performance

Abstract This study reports the development and tribological evaluation of multilayered polyimide (PI) nanocomposite coatings to enhance both mechanical and tribological performance. A multilayer architecture was adopted, wherein a primer layer was introduced to improve adhesion between the substrate and the functional top layer, which directly influences tribological behavior. The composite coating exhibited significant reductions in wear volume as compared to pristine PI coating: 58.37% reduction at 2 N for GG_MM (base layer polyimide + graphene oxide, top layer MoS2 + Ti3C2Tx MXene), 50.84% at 4 N for GO–MoS2–MXene (GMM) (base layer and top layer polyimide + graphene oxide + MoS2 + Ti3C2Tx MXene), and 66.52% reduction at 2 N for GMGM coating. The incorporation of nanofillers led to increased hardness and elastic modulus of the polyimide matrix. This enhancement is attributed to functional groups on the nanoparticle surfaces, which facilitated chemical crosslinking with the polyimide chains, thereby restricting polymer chain mobility and suppressing plastic deformation. In contrast, nanoparticles lacking functional surface groups exhibited minimal influence on the mechanical properties. Tribological tests conducted under Hertzian contact pressures ranging from 0.21 to 0.31 GPa indicated that, with increasing load, plastic flow became the dominant wear mechanism, underscoring the load-dependent nature of the tribological performance.

Authors

Institutions

Publication Details

Journal
Journal of Tribology
Published
2025-11-04
DOI
https://doi.org/10.1115/1.4070298
Citations
2
Primary Topic
Tribology and Wear Analysis
Type
article
Field-Weighted Citation Impact
1.73

Funders

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

Multilayered Polyimide Nanocomposite Coatings for Enhanced Tribological Performance

Maziar Ramezani, Om P. Khatri, A. P. Harsha, Gulshan Verma
2 citations
Journal of Tribology
Tribology and Wear Analysis
1.73
article

Multilayered Polyimide Nanocomposite Coatings for Enhanced Tribological Performance

Maziar Ramezani, Om P. Khatri, A. P. Harsha, Gulshan Verma
article en
2 citations

Abstract

Abstract This study reports the development and tribological evaluation of multilayered polyimide (PI) nanocomposite coatings to enhance both mechanical and tribological performance. A multilayer architecture was adopted, wherein a primer layer was introduced to improve adhesion between the substrate and the functional top layer, which directly influences tribological behavior. The composite coating exhibited significant reductions in wear volume as compared to pristine PI coating: 58.37% reduction at 2 N for GG_MM (base layer polyimide + graphene oxide, top layer MoS2 + Ti3C2Tx MXene), 50.84% at 4 N for GO–MoS2–MXene (GMM) (base layer and top layer polyimide + graphene oxide + MoS2 + Ti3C2Tx MXene), and 66.52% reduction at 2 N for GMGM coating. The incorporation of nanofillers led to increased hardness and elastic modulus of the polyimide matrix. This enhancement is attributed to functional groups on the nanoparticle surfaces, which facilitated chemical crosslinking with the polyimide chains, thereby restricting polymer chain mobility and suppressing plastic deformation. In contrast, nanoparticles lacking functional surface groups exhibited minimal influence on the mechanical properties. Tribological tests conducted under Hertzian contact pressures ranging from 0.21 to 0.31 GPa indicated that, with increasing load, plastic flow became the dominant wear mechanism, underscoring the load-dependent nature of the tribological performance.

Journal of TribologyVol. 148(4)
Flinders University (AU), Auckland University of Technology (NZ), Robotics Research (United States) (US), Indian Institute of Technology BHU (IN), Indian Institute of Technology Indore (IN), Indian Institute of Petroleum (IN)
Auckland University of Technology, New Zealand, Ministry of Education, India, Scheme for Promotion of Academic and Research Collaboration
Openalex Percentile: Top 14%
Tribology and Wear Analysis
1.73
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.