Sim2Adapt
Development of Multiscale Approaches to Improve the Application of Self-adaptive Coatings in Low Friction Mechanical Systems
Challenge
This project tackles the critical challenge of achieving consistent low-friction performance in mechanical systems without relying on environmentally harmful liquid lubricants. While self-adaptive coatings offer a promising alternative by forming friction-reducing tribolayers during sliding, their behavior is highly sensitive to contact conditions, leading to unpredictable results in real-world applications. Current models fail to capture the dynamic evolution of tribological properties at the microscale, especially as wear alters surface characteristics over time. The project aims to overcome this limitation by developing multiscale models that integrate evolving contact mechanics with in-situ experimental insights, enabling reliable design and application of self-adaptive coatings across diverse operating conditions.
Solution
To address the inconsistent performance of self-adaptive coatings in sliding contacts, this project proposes a novel multiscale modeling approach that integrates numerical simulations with in-situ experimental characterization. By capturing the dynamic evolution of tribological behavior at local contact zones—where frictional properties transition from those of the as-deposited material to self-adapted states—the model will reflect real-time changes in surface roughness and mechanical properties due to wear. This integrated framework will enable the prediction and control of tribolayer formation under varying contact conditions, ultimately guiding the selection and application of coatings that deliver reliable low-friction and high-wear resistance performance across diverse mechanical systems.
Objectives, Activities and Results expected / achieved
The expected outcome of this project is the development of a robust, predictive framework capable of modeling the evolving tribological behavior of self-adaptive coatings under diverse sliding conditions. By integrating multiscale simulations with in-situ experimental data, the project will generate insights into the mechanisms governing tribolayer formation and its dependence on contact parameters. This will enable the identification of coating compositions and surface designs that consistently deliver low friction and high wear resistance. Ultimately, the results will provide clear guidelines for selecting and applying self-adaptive coatings tailored to specific mechanical systems, contributing to more sustainable and energy-efficient technologies.
Project Reference
2022.08459.PTDCFunding
Intervention Region
PortugalTotal Investment
249.395,50IPN Investment
101.686,51Total Eligible
249.395,50IPN Eligible
101.686,51National public financial support – Total
249.395,50National public financial support – IPN
101.686,51Duration
36 MonthsStart Date
2023-03-12End Date
2026-03-11Approval Date
2022-12-07Consortium
Universida de CoimbraInstituto Pedro Nunes
Keywords
Self-adaptive coatings;Low friction;
High wear resistance;
Numerical simulations.
