Synergistic Optimization of Adhesion Resistance and Cutting Performance of Textured Tools with TiAlN Coating

2.25Cr1Mo0.25V steel, known for its high strength, corrosion resistance, and structural stability, is commonly used in petrochemical and nuclear power equipment. High-temperature/high-pressure cutting often induces severe rake-face wear and adhesive deterioration of the tool. This study presents a carbide tool incorporating a composite microtexture with a TiAlN coating and explores its synergistic optimization mechanism. The effects of this combined structure on cutting performance, film-substrate bonding strength, stress distribution, and adhesive failure were systematically investigated. Compared with the NT tool, the adhesive area is reduced by 53.3% and the film-substrate bonding strength is enhanced by 45.7%. Meanwhile, stress concentration is effectively relieved, leading to improved antiadhesion performance and wear resistance. The coating effectively prevents the diffusion of affinity elements at high temperatures, thereby improving the bonding strength between the coating and the substrate. This, in turn, further enhances the interfacial adhesion and produces a synergistic effect that delays tool failure. The study demonstrates that the synergistic effect of the microtextured and coating can simultaneously reduce friction and improve wear resistance and antiadhesion performance, providing theoretical insights and design guidance for efficient and precise cutting of high-temperature, difficult-to-machine materials.

Authors

Institutions

Publication Details

Journal
Langmuir
Published
2026-01-15
DOI
https://doi.org/10.1021/acs.langmuir.5c04749
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

Synergistic Optimization of Adhesion Resistance and Cutting Performance of Textured Tools with TiAlN Coating

Youzheng Cui, Ping Wang, Dongyang Wang, Hui Jiang et al.
Langmuir
Metal and Thin Film Mechanics
article

Synergistic Optimization of Adhesion Resistance and Cutting Performance of Textured Tools with TiAlN Coating

Youzheng Cui, Ping Wang, Dongyang Wang, Hui Jiang, Minli min Zheng, Yujia Xia, Zexing Wu
article en

Abstract

2.25Cr1Mo0.25V steel, known for its high strength, corrosion resistance, and structural stability, is commonly used in petrochemical and nuclear power equipment. High-temperature/high-pressure cutting often induces severe rake-face wear and adhesive deterioration of the tool. This study presents a carbide tool incorporating a composite microtexture with a TiAlN coating and explores its synergistic optimization mechanism. The effects of this combined structure on cutting performance, film-substrate bonding strength, stress distribution, and adhesive failure were systematically investigated. Compared with the NT tool, the adhesive area is reduced by 53.3% and the film-substrate bonding strength is enhanced by 45.7%. Meanwhile, stress concentration is effectively relieved, leading to improved antiadhesion performance and wear resistance. The coating effectively prevents the diffusion of affinity elements at high temperatures, thereby improving the bonding strength between the coating and the substrate. This, in turn, further enhances the interfacial adhesion and produces a synergistic effect that delays tool failure. The study demonstrates that the synergistic effect of the microtextured and coating can simultaneously reduce friction and improve wear resistance and antiadhesion performance, providing theoretical insights and design guidance for efficient and precise cutting of high-temperature, difficult-to-machine materials.

LangmuirVol. 42(3)
Harbin University of Science and Technology (CN), Qiqihar University (CN), Ministry of Education of the People's Republic of China (CN), China First Heavy Industries (China) (CN), CNC Technology (Czechia) (CZ)
Openalex Percentile: Top 87%
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.

Synergistic Optimization of Adhesion Resistance and Cutting Performance of Textured Tools with TiAlN Coating — Youzheng Cui, Ping Wang, et al. · Langmuir (2026) | TGRS Research Map | TGRS