Tag: tribology

Researchers have built a hybrid machine learning framework that predicts how graphene-enhanced grease heats up, wears down, and transitions between ...

Molecular dynamics simulations show that polycrystalline CuCrCoFeNi high-entropy alloy coatings absorb most scratch-induced deformation through stacking faults, dislocation structures, and ...

Chinese researchers report that adding polyimide pulp and graphitized carbon nanotubes to PTFE cuts friction by nearly 70 percent and ...

A gallium-based liquid metal cuts molybdenum wear by up to 99.4 percent across room temperature to 300 degrees Celsius, but ...

A Taguchi-TOPSIS study shows that solution treatment temperature, holding time and cooling method strongly control the hardness, wear rate and ...

Researchers have built a dynamic wear prediction model for helical gear pairs that couples real-time contact stress, sliding, and lubrication ...

New research reveals that milk proteins and coffee components form friction-increasing aggregates while fat globules break them apart, explaining why ...

Researchers in India have developed self-healing epoxy composites reinforced with graphene oxide and carbon nanotube microcapsules, showing that a titanium ...

Researchers have combined verified finite element simulations with machine learning to predict fretting dissipated energy and slip regimes in under ...

Researchers have shown that adding ceramic particles such as zirconia, titania, alumina, and silica to soft sparking plasma electrolytic oxidation ...