Results 71 to 80 of about 23,225 (270)

PARAMETRIC STUDY ON RAILWAY FASTENING SYSTEM RESPONSE SUBJECTED TO DIFFERENT AXLE LOAD [PDF]

open access: yesInternational Journal of Railway Research, 2021
There are several factors causing fastening systems to deteriorate faster than the designed life. The high repetitive loads from a moving train being one of the main factors, track irregularities, design and installation defects of track components, non ...
MATHIEU NTAKIYEMUNGU   +2 more
doaj  

Microstructure, Thermal Transport, and Dry‐Sliding Tribology of Powder‐Metallurgy Al7075 Composites Reinforced With Sol–Gel‐Derived ZnO–rGO Hybrid Nanoparticles

open access: yesAdvanced Engineering Materials, EarlyView.
Sol–gel‐derived ZnO–rGO hybrid nanoparticles enable Al7075 powder‐metallurgy composites to achieve concurrent gains in hardness and thermal conductivity while markedly lowering friction and wear. The hybrid architecture couples ZnO‐based load support with rGO‐assisted lamellar sliding and heat spreading, revealing a promising route toward lightweight ...
Bunyamin Aksakal   +3 more
wiley   +1 more source

Effects of principal stress rotation and drainage on the resilient stiffness of railway foundations

open access: yes, 2013
Railway foundations play an integral role in controlling the stability of the overlying track structure and the maintenance of the overall track geometry.
Mamou, A.
core  

Laser‐Induced Graphene from Waste Almond Shells

open access: yesAdvanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova   +9 more
wiley   +1 more source

Measurements of track stiffness and track irregularities todetect short waved support conditions

open access: yes, 2006
Short waved vertical irregularities of the track can cause high dynamic train-track interactionforces. These forces cause several problems, for example deterioration of track geometry anddamage of components.
Berggren, Eric,
core  

Effects of a varying track and soil stiffness on ground vibrations near railway lines

open access: yes, 2022
Usually, geometric irregularities are considered as the main cause of ground vibrations from trains. A varying stiffness of the track, the track support and the soil can also generate ground vibrations. The regular stiffness variation of the track on and
Auersch, Lutz
core   +1 more source

Research on wheel/rail coupled vibration of metro cars

open access: yes机车电传动, 2022
The wheel/rail coupled vibration modal is an inherent property of the wheel/rail system, and mastering the coupling vibration characteristics between wheel and rail is inevitable and practical to reduce wheel out of round wear and rail corrugation.
ZHOU Zuobin, WU Xingwen, CHI Maoru
doaj  

Multimodal Soft Surgical Robots Enabled by Eco‐Degradable, Sterilizable Polymers and Transient Electronics

open access: yesAdvanced Functional Materials, EarlyView.
A compostable PGS soft surgical robot with interchangeable modules integrates transient Mo tactile and Si thermal sensors for dual feedback. The device preserves its function after clinical‐grade sterilization, demonstrates stable actuation and cardiac tissue grasping with real‐time in vivo pulsatile monitoring, and biodegrades post‐use with soil‐safe, 
Minseong Chae   +27 more
wiley   +1 more source

A study on effect of track and vehicle factors on wheel load variation over short wavelength longitudinal irregularities

open access: yesMechanical Engineering Journal
In order to maintain good track condition, and to keep safety and ride-comfort, managing wheel load variation is important especially for high-speed railway.
Tatsushi KARASAWA   +3 more
doaj   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

open access: yesAdvanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou   +5 more
wiley   +1 more source

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