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In this work, self-lubricating and electrically conductive polymers on a polypropylene (PP) matrix were prepared and investigated. These properties were obtained by additivating PP with carbon black (CB) and multi-walled carbon nanotubes (MWCNTs), in combination with a surface active ionic liquid (IL, trihexyltetradecylphosphonium docusate [P][DOC]). These polymeric composites are expected to achieve coefficients of friction (COFs) comparable to lubricated systems. Combined with electrical conductivity, these materials could be applied in electrically loaded tribosystems. The COF was reduced by up to 25% compared to that of plain PP, and high electrical conductivity and self-lubrication were achieved. Fundamental differences between the carbon-based fillers in their interaction with IL were investigated with high-resolution surface analysis (TEM, AFM) and Raman and ATR-FTIR spectroscopy. By varying the tribological test parameters, the application limits of self-lubrication were identified. It was demonstrated that the contact pressure has a strong influence on the COF. Therefore, this work points to potential applications in ( 3D-printed) bearings and electrically loaded bearings where electrical conductivity and relatively low COFs are required.
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http://dx.doi.org/10.1039/d3ra00712j | DOI Listing |
Sci Adv
September 2025
School of Biomedical Engineering, ShanghaiTech University, Shanghai, China.
Developing intelligent robots with integrated sensing capabilities is critical for advanced manufacturing, medical robots, and embodied intelligence. Existing robotic sensing technologies are limited to recording of acceleration, driving torque, pressure feedback, and so on. Expanding and integrating with the multimodal sensors to mimic and even surpass the human feeling is substantially underdeveloped.
View Article and Find Full Text PDFSud Med Ekspert
September 2025
Bureau of Forensic Medical Examination, Ufa, Russia.
Objective: To study the electrical conductivity of the knee joints' synovial fluid of human's corpse for assessment of the possibility of its application as criterion of forensic medical diagnosis of postmortem interval.
Material And Methods: The work was carried out on practical forensic medical material on the basis of the Bureau of Forensic Medical Expertise in the Republic of Bashkortostan. During the study, 103 corpses of both sexes, different ages who died from various causes were investigated.
Adv Mater
September 2025
Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China.
Van der Waals (vdW) layered materials have gained significant attention owing to their distinctive structure and unique properties. The weak interlayer bonding in vdW layered materials enables guest atom intercalation, allowing precise tuning of their physical and chemical properties. In this work, a ternary compound, NiInSe (x = 0-0.
View Article and Find Full Text PDFACS Appl Mater Interfaces
September 2025
Department of Mechanical Engineering, State University of New York at Binghamton, Binghamton, New York 13902, United States.
Soft conductive composites are significant components of soft and wearable electronics. Existing soft conductive composites encounter difficulties in attaining 10% of copper's electrical conductivity while maintaining high stretchability. In this work, a novel "soft conductive junction" concept is introduced to overcome the conductivity-stretchability trade-off.
View Article and Find Full Text PDFPhys Chem Chem Phys
September 2025
State Key Laboratory of Materials for Integrated Circuits, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
Selenium, as an important semiconductor material, exhibits significant potential for understanding lattice dynamics and thermoelectric applications through its thermal transport properties. Conventional empirical potentials are often unable to accurately describe the phonon transport properties of selenium crystals, which limits in-depth understanding of their thermal conduction mechanisms. To address this issue, this study developed a high-precision machine learning potential (MLP), with training datasets generated molecular dynamics simulations.
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