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Constructing the continuum-physics core of a digital twin for tribological contacts under boundary and mixed lubrication conditions

CORDIS · observation · Publication date unknown

ynamic lubrication. This is achieved by a massive effort to produce a variety of atomistic benchmark data by molecular dynamics (MD) with non-reactive force fields for the lubricant rheology and with machine learning potentials for the lubricant-surface tribochemistry. Coarse-grained extreme-scale MD of lubricated µm-sized rough surfaces and high-throughput all-atom MD for nm-sized parallel channels will allow for an effective validation and training of novel physics-based CEs for an extended TEHL model. This makes the proposed LubeTwin a predictive tool linking nanoscale molecular structure of constituents to the friction of components at the macroscale. The final goal is to quantitatively describe lubrication in tribological experiments under high loads and to predict optimal conditions for super-low friction and wear in energy-efficient and sustainable machines. Embedded in a large interdisciplinary environment of multiscale modelers and experimentalists, a team of nine scientists will find ideal conditions to realize the vision of LubeTwin. Tribology, Friction, Digital Twin, Extr

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award

status

SIGNED

region

EU

value

2453946

unit

EUR