Results 81 to 90 of about 1,427,549 (363)
Reduction of Static Friction by Sonic Vibrations [PDF]
, 1959 Hans D. Fridman, P. Levesque
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Advanced Functional Materials, Volume 35, Issue 12, March 18, 2025.In this study, the unique role of the unusual lone‐pair‐π conjugation mechanism in poly(1,4‐anthraquinone) (P14AQ) is explored as an organic electrode material. Unlike traditional π‐π interactions, P14AQ's conjugation involves lone pairs of oxygen atoms interacting with the π cloud of adjacent units, enabling stable charge transport even with minimal π‐
Xiaotong Zhang, Piotr de Silva
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Shock and Vibration, 2019 An efficient parametric reduced-order modeling method combined with substructural matrix interpolation and automatic sampling procedure is proposed. This approach is based on the fixed-interface Craig-Bampton component mode synthesis method (CMS).
Ying Liu +3 more
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Fault Detection for Vibration Signals on Rolling Bearings Based on the Symplectic Entropy Method
Entropy, 2017 Bearing vibration response studies are crucial for the condition monitoring of bearings and the quality inspection of rotating machinery systems. However, it is still very difficult to diagnose bearing faults, especially rolling element faults, due to ...
Min Lei, Guang Meng, Guangming Dong
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Harvesting Ambient Vibration Energy over a Wide Frequency Range for Self-Powered Electronics.
ACS Nano, 2017 Vibration is one of the most common energy sources in ambient environment. Harvesting vibration energy is a promising route to sustainably drive small electronics.
Xiaofeng Wang +8 more
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Advanced Functional Materials, EarlyView.In this study, the interplay of dipolar dynamics and ionic charge transport in MOF compounds is investigated. Synthesizing the novel structure CFA‐25 with integrated freely rotating dipolar groups, local and macroscopic effects, including interactions with Cs cations are explored.
Ralph Freund +6 more
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Full-Vector Signal Acquisition and Information Fusion for the Fault Prediction
International Journal of Rotating Machinery, 2016 Fault prediction is the key technology of the predictive maintenance. Currently, researches on fault prediction are mainly focused on the evaluation of the intensities of the failure and the remaining life of the machine.
Lei Chen +4 more
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Advanced Functional Materials, EarlyView.This study introduces a conductive nerve guidance conduit integrated with wireless electrical stimulation through alternating magnetic fields, which induces currents and creates a supportive microenvironment for nerve regeneration. In vivo studies show that this approach significantly enhanced myelin restoration, gastrocnemius muscle regeneration ...
Shiheng Liu +7 more
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