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Copper (Cu)'s electrical conductivity makes it attractive for industrial usage. Due to its inferior mechanical characteristics, thermal expansion, and wear resistance, its applications are limited. This manuscript solves these issues while retaining its major feature, excellent electrical conductivity. In this regard, different quantities of graphene (Gr) and fly ash (FA) nanoparticles were combined with Cu in a planetary ball mill at 440 rpm for 20 h using powder metallurgy (PM). The microstructure of the generated powders was characterized using X-ray diffraction technique and transmission electron microscopy. The powders underwent compression and were then subjected to firing at three distinct temperature levels, reaching a maximum of 850 °C. In addition, an analysis was conducted on the microstructure, mechanical properties, wear resistance, thermal expansion behaviour, and electrical conductivity of the sintered samples. Based on the findings, the inclusion of a hybrid of Gr and FA ceramics effectively led to a reduction in particle sizes. The bulk density slightly decreases with the addition of hybrid ceramic while increasing with the rise in sintering temperature. The hybrid composited Cu/0.8 vol.% Gr/8 vol.% FA recorded an increase in the microhardness, ultimate stress, and Young's modulus of 25, 20, and 50%, respectively, relative to the Cu matrix. Furthermore, the wear rate and coefficient of thermal expansion for the same sample decreased by 67 and 30%, respectively. Finally, increasing the sintering temperature showed a clear improvement in the mechanical, electrical, and corrosion properties. Based on the results obtained, it can be concluded that the prepared hybrid nanocomposites can be used in power generation, power transmission, electronic circuits, and other applications.
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http://dx.doi.org/10.1038/s41598-024-52563-w | 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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