Results 221 to 230 of about 58,770 (304)

Drop Friction and Failure on Superhydrophobic and Slippery Surfaces. [PDF]

open access: yesACS Nano
Naga A   +4 more
europepmc   +1 more source

In Situ Synthesized Glycerol‐Releasing Nanocarriers Unlock Superlubricity in Oil‐Based Lubricants

open access: yesMacromolecular Materials and Engineering, EarlyView.
This study presents an in situ synthesis of glycerol‐based nanocarriers in hydrophobic lubricant oils via inverse miniemulsion polymerization. Encapsulating glycerol within a glycerol‐based polyurethane shell resolves miscibility issues between glycerol and the hydrophobic base oil, yielding novel nanoadditives with tunable glycerol loading.
Sarah S. Lembke   +4 more
wiley   +1 more source

Experimental study of lubricating wear phenomena in Ag-Mg alloy systems. [PDF]

open access: yesSci Rep
Venkatasudhahar M   +6 more
europepmc   +1 more source

Cold EI—The Way to Improve GC‐MS and Increase Its Range of Applications

open access: yesMass Spectrometry Reviews, EarlyView.
ABSTRACT Gas chromatography‐mass spectrometry (GC‐MS) with Cold electron ionization (EI) is based on interfacing the GC and MS with a supersonic molecular beam (SMB) along with electron ionization of vibrationally cold sample compounds in the SMB in a contact‐free fly‐through ion source (hence the name Cold EI).
Aviv Amirav   +3 more
wiley   +1 more source

Advancing Severe Plastic Deformation for Tubular Samples: Systematic Review and Machine Learning Optimization

open access: yesMetalMat, EarlyView.
This review highlights recent advancements in Severe Plastic Deformation (SPD) techniques tailored for tubular samples. The mechanisms of processing are critically discussed with emphasis on microstructural control and the governing process parameters that enable refinement to ultrafine‐ and nano‐grained structures. Comparative insights into equivalent
Eman M. Zayed   +5 more
wiley   +1 more source

Designing High‐Entropy Alloys With Low Stacking Fault Energy Through Interpretable Machine Learning

open access: yesMaterials Genome Engineering Advances, EarlyView.
In this study, we developed an interpretable machine learning (ML) ensemble framework and, by integrating the VEC criterion with the proposed machine learning scoring parameter in the alloy composition screening process, successfully designed multiple CoCrFeNiMn‐based HEAs with TWIP/TRIP effects and without the BCC phase.
Shuai Nie   +6 more
wiley   +1 more source

Effect of Variations in the Ring Thickness on the Dynamic Performance of the Bimetal Gears

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT This study used a six‐degrees‐of‐freedom dynamic model to analyze the dynamic response of bimetal spur gears. Aluminum alloy forms the core of the bimetal gears, and a uniform‐thickness steel ring surrounds the teeth. Gear mesh stiffness of bimetal gears and the transmission error have been assessed using a numerical approach based on finite ...
Bikramjit Singh   +2 more
wiley   +1 more source

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