Tribology International conference 2027 main topics include:

Session 1. Advanced Tribology, Surface Engineering & Interface Science

• Fundamental mechanisms of friction, wear and lubrication.
• Advanced coatings, surface modification and engineered interfaces.
• Nanomaterials, composites and solid lubricants.
• Bio-inspired, self-healing and multifunctional surfaces.
• Tribology under extreme operating conditions.

Session 2. Sustainable, Circular & Bio-Inspired Tribology

• Green and bio-based lubricants.
• Environmentally friendly materials and lubrication technologies.
• Circular design, recycling and remanufacturing of components.
• Life-cycle assessment and carbon-footprint reduction.
• Energy efficiency and lifetime extension of tribological systems.

Session 3. Tribology for Electrification, Clean Energy & Climate-Neutral Industry

• Tribology in electric vehicles and electrified powertrains.
• Friction and wear in renewable energy systems.
• Tribological challenges in hydrogen technologies and fuel cells.
• High-performance bearings, gears and seals.
• Energy-efficient and climate-neutral industrial applications.

Session 4. AI-Driven Tribology, Digital Twins & Autonomous Systems

• Artificial intelligence and machine learning for tribology.
• Digital twins and multiscale computational modelling.
• Smart sensors and real-time condition monitoring.
• Predictive maintenance and wear-life prediction.
• Data-driven optimisation and intelligent lubrication systems.

Session 5. Tribology for Health, Mobility, Safety & Human-Centred Technologies

• Biotribology and artificial joint implants.
• Friction, wear and lubrication in medical devices.
• Tribology of prosthetics and rehabilitation technologies.
• Reliability and safety of critical mechanical components.
• Human–material interactions and tribology in transport systems.

Session 6. Advanced Characterisation, Tribological Testing & Data-Driven Validation

• Advanced experimental methods for friction and wear.
• In-situ characterisation and surface analysis.
• Innovative tribometers and sensor-integrated testing.
• Standardisation, reproducibility and measurement uncertainty.
• Data-driven validation and lifetime prediction.