A Different Perspective on the Solid Lubrication Performance of Black Phosphorous: Friend or Foe?
Researchers investigate black phosphorous (BP) as a standalone solid lubricant coating through ball‐on‐disc linear‐reciprocating sliding experiments in dry conditions. Testing on different metals shows BP doesn't universally reduce friction and wear. However, it achieves 33% friction reduction on rougher iron surfaces and 23% wear reduction on aluminum.
Matteo Vezzelli+5 more
wiley +1 more source
Author Correction: Quantum capacities of transducers. [PDF]
Wang CH, Li F, Jiang L.
europepmc +1 more source
A Novel Simulation Approach for Damage Evolution during Tailored Forming
Traditional damage models are struggling to accurately and efficiently simulate large‐scale three‐dimensional models with a great number of degrees of freedoms. A new gradient‐enhanced damage model based on the extended Hamilton principle can significantly reduce the computation time while ensuring mesh‐independence which is suitable to use in tailored
Fangrui Liu+2 more
wiley +1 more source
Correction: Optimizing positron emission tomography for accurate plant imaging using Monte Carlo simulations to correct positron range effects. [PDF]
Saaidi R, Tayalati Y, El Fatimy A.
europepmc +1 more source
Fluid Dynamics in Physics, Engineering and Environmental Applications [PDF]
Jaime Klapp+3 more
openalex +1 more source
Hybrid materials enable high‐performance components but are challenging to process. This study explores an inductive heating concept with spray cooling for steel–aluminum specimens in a two‐step process including friction welding and cup backward extrusion.
Armin Piwek+7 more
wiley +1 more source
Retraction Note: Eco-reliable operation based on clean environmental condition for the grid-connected renewable energy hubs with heat pump and hydrogen, thermal and compressed air storage systems. [PDF]
Eladeb A+7 more
europepmc +1 more source
Gaussian Curvature in Propagation Problems in Physics and Engineering [PDF]
Ezzat G. Bakhoum
openalex +1 more source
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi+4 more
wiley +1 more source
Author Correction: Single-shot reconstruction of three-dimensional morphology of biological cells in digital holographic microscopy using a physics-driven neural network. [PDF]
Kim J, Kim Y, Lee HS, Seo E, Lee SJ.
europepmc +1 more source