Quantitative Wear Models for Microscale Material Removal

Area of Science:

• Materials Science
• Mechanical Engineering
• Tribology

Background:

• Microscale material removal involves complex wear mechanisms like plastic deformation, adhesion, attrition, tribochemical reactions, oxidation, and fracture.
• No single wear law accurately predicts material loss across all conditions due to varying mechanisms and operating environments.

Purpose of the Study:

• To review and analyze quantitative wear models for microscale material removal.
• To assess the assumptions, applicable regimes, and failure conditions of various wear models.
• To provide guidelines for selecting appropriate wear models based on active mechanisms and contact states.

Main Methods:

• Examination of classical wear models (Archard-type, Reye-type).
• Analysis of atomistic (Arrhenius-type) and mechanism-specific models (adhesive, tribochemical, oxidation, fracture).
• Evaluation of influencing factors: material properties, tool characteristics, operating conditions, and environment.

Main Results:

• Wear models differ significantly in their underlying assumptions and applicability.
• Model reliability is strongly dependent on the active wear mechanism and the evolving contact state.
• Material properties, tool design, operating parameters, and environmental factors collectively impact wear behavior.

Conclusions:

• Selecting wear models based on the dominant wear mechanism and contact state enhances prediction reliability.
• Current limitations include poor handling of regime transitions, parameter identification challenges, and the gap between atomistic and engineering models.
• Future advancements require multi-regime modeling, better integration of coupled effects, and improved in situ characterization.