Results 81 to 90 of about 259 (237)

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

open access: yesDeep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu   +4 more
wiley   +1 more source

Reduced-Order Modelling of Wall Heat Flux in Rotating Detonation Rocket Combustors with One-Dimensional Coolant Coupling

open access: yesAerospace
Rotating detonation engines combine compact geometry with the potential for higher specific impulse compared to deflagration-based propulsion, enabled by pressure-gain combustion. However, their increased thermal loads present a major challenge.
Victor Petri Milo   +3 more
doaj   +1 more source

Recent Advance for PVDF Based Flexible Piezoelectric Sensors

open access: yesEcoEnergy, EarlyView.
This review focus on the structural regulation of PVDF via boundary confinement, blending regulation, electric‐field‐assisted orientation, and chemical modification for flexible piezoelectric sensors. ABSTRACT The rapid advancement of flexible electronics, wearable devices, and biomedical engineering has spurred increasing demand for sensor materials ...
Chaoran Tan   +4 more
wiley   +1 more source

Controlled Nanoarchitecture of Aligned Electrospinning Fiber Composite Electrolyte Based on Plant and Animal Biopolymers for Safe Na‐Ion Batteries

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Aligned Electrospun Composite Electrolyte. The resurgence of solid‐state Na+ battery, sustained through lithium deficiency and mounting costs, offers an auspicious alternative to solid‐state Li+ battery. This study introduces a nanoarchitectural approach that integrates electrospinning with a simple solution casting technique to develop a mechanically ...
Md. Mehadi Hassan   +5 more
wiley   +1 more source

Visualization of the Detonation Wave Structure in a Small-Scale Hydrogen–Oxygen Rotating Detonation Combustor

open access: yesAerospace
This study presents the high-speed visualization of the detonation wave structure in a small-scale hydrogen–oxygen rotating detonation combustor. A 68 mm Rotating Detonation Combustor was modified with a quartz-glass ring, such that radial optical access
Wolfgang Armbruster   +7 more
doaj   +1 more source

Triboelectric–Electromagnetic Generator‐Enabled Hybrid Power Backpack for Self‐Powered Field Safety Management

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A lightweight hybrid backpack integrating SC‐TENGs and R‐EMGs harvests biomechanical energy during walking. With a low activation speed of 3 km h−1 and a high specific power of 0.18 W kg−1, it enables self‐powered field safety management. The power backpack refers to an energy‐harvesting solution engineered to mitigate battery reliance in wearable ...
Jie Chen   +6 more
wiley   +1 more source

Numerical Analysis of the Characteristic Chemical Timescale of a C2H4/O2 Non-Premixed Rotating Detonation Engine

open access: yesEnergies
A three-dimensional numerical investigation using ethylene–oxygen was conducted to examine the characteristics of detonation waves in a non-premixed rotating detonation engine (RDE) across three equivalence ratio conditions: fuel-lean, stoichiometric ...
Mohammed Niyasdeen Nejaamtheen   +2 more
doaj   +1 more source

Stabilized detonation for hypersonic propulsion. [PDF]

open access: yesProc Natl Acad Sci U S A, 2021
Rosato DA   +5 more
europepmc   +1 more source

Learning Rocking Dynamics From Sparse Shake‐Table Data With Interpretable Physics‐Informed Neural Networks

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT We present a hybrid interpretable Physics‐Informed Neural Network Long‐Short Term Memory (Hybrid PINN LSTM) framework for predicting the seismic response of rocking blocks. Existing analytical models rely on uncertain idealizations, while purely data‐driven and machine‐learning approaches lack physical consistency and interpretability.
Shirley Shen   +1 more
wiley   +1 more source

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