Guest Editors
Dr. Sung-Jun Lee
Email: k3668591@chosun.ac.kr
Affiliation: Department of Mechanical Engineering, Chosun University, Gwang, 61452, Republic of Korea
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Research Interests: tribological modeling, surface engineering, friction simulation, wear prediction, contact mechanics, coating design, molecular dynamics, finite element analysis, computational fluid dynamics, tribochemistry simulation
Summary
Tribology, the science of friction, wear, and lubrication, plays a critical role in determining the performance, efficiency, and lifetime of mechanical systems across various industries. With the advancement of computational methods and high-performance computing, computational approaches have become indispensable tools for understanding complex tribological phenomena and designing advanced surface engineering solutions, enabling the prediction and optimization of material behavior at multiple scales without extensive experimental trials.
This Special Issue aims to showcase cutting-edge computational methodologies for tribological materials and surface engineering. We seek contributions that leverage molecular dynamics, finite element analysis, computational fluid dynamics, and other numerical techniques to investigate friction mechanisms, wear prediction, contact mechanics, and coating design. The issue will highlight innovative computational strategies that bridge the gap between fundamental tribological theory and practical engineering applications, ultimately contributing to the development of more durable and efficient materials and surface treatments.
Suggested themes for this Special Issue include, but are not limited to:
• Multiscale modeling of friction and wear mechanisms in advanced materials
• Computational design and optimization of protective coatings and surface treatments
• Molecular dynamics simulations of tribological interfaces and lubricant behavior
• Finite element analysis of contact mechanics and stress distribution in tribological systems
• CFD modeling of lubrication systems and tribochemical reactions
• Machine learning approaches for tribological property prediction and material selection
• Digital twin technologies for real-time tribological performance monitoring
Keywords
computational materials tribology; surface modification; materials wear mechanisms; multiscale materials modeling; machine learning; lubrication, nanocoatings; interface engineering; digital twin; triboinformatics
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