Yu-Sheng Lu , Chia-Wei Huang , Tang-Yu Lai , Thi-Xuyen Bui , Chun-Ta Tseng , Te-Hua Fang
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引用次数: 0
Abstract
This study employs molecular dynamics (MD) simulations to construct WS2-coated nickel (Ni) substrates and investigate their tribological and thermal conductivity properties. The effects of varying scratching depths, speeds, and temperatures on the tribological performance were explored, alongside analyses of temperature differences, overall temperature, and model size on thermal conductivity using non-equilibrium MD (NEMD). Results reveal that WS2/Ni heterostructures exhibit self-repair mechanisms that mitigate surface damage during scratching, reducing friction coefficients compared to bare Ni substrates. The friction coefficient increased with deeper scratching due to atomic accumulation and extrusion, while higher scratching speeds maintained low friction levels, indicating robust lubrication. Furthermore, higher ambient temperatures reduced the friction coefficient. However, thermal conductivity was unaffected by temperature variation between hot and cold zones. Thermal conductivity increased with model size and decreased at elevated temperatures, exhibiting minimal anisotropy overall. These findings highlight the potential of WS2/Ni heterostructures for applications requiring high-performance lubrication and thermal management in sectors such as precision machinery and aerospace.
期刊介绍:
Mechanics of Materials is a forum for original scientific research on the flow, fracture, and general constitutive behavior of geophysical, geotechnical and technological materials, with balanced coverage of advanced technological and natural materials, with balanced coverage of theoretical, experimental, and field investigations. Of special concern are macroscopic predictions based on microscopic models, identification of microscopic structures from limited overall macroscopic data, experimental and field results that lead to fundamental understanding of the behavior of materials, and coordinated experimental and analytical investigations that culminate in theories with predictive quality.