However, it has also become clear that questions remain regarding the stability of the effects across different routes, vehicles, and operating conditions. Further questions concern the interaction between rail head lubrication and wheel flange lubrication, as well as how data-driven systems can be scaled without adding complexity for operators.
The focus of the project is shifting from proving feasibility to optimising and expanding the knowledge gained:
Extending the system to additional routes and vehicle types
Integration of intelligent flange lubrication alongside rail head lubrication
Analysis of interactions between vehicles, infrastructure and operating conditions
Strengthening of monitoring, control logic and operational robustness
The goal is to move from isolated applications to scalable, operational solutions that support asset maintenance, cost efficiency and environmental performance throughout the entire life cycle. The project thus marks the transition from research results to a basis for long-term application.
