Results 31 to 40 of about 437 (210)
A Novel Short-Range Prediction Model for Railway Track Irregularity
In recent years, with axle loads, train loads, transport volume, and travel speed constantly increasing and railway network steadily lengthening, shortcomings of current maintenance strategies are getting to be noticed from an economical and safety ...
Peng Xu +3 more
doaj +1 more source
On-Board Detection of Longitudinal Track Irregularity Via Axle Box Acceleration in HSR
Track irregularity detection serves as one of the most essential technologies to interpret the in-service condition of the high-speed railway (HSR) and ensure the comfortability and safety in HSR service.
Xianfu Sun +4 more
doaj +1 more source
Developmental and Epileptic Encephalopathy due to Biallelic Pathogenic Variants in PIGM
ABSTRACT Objective PIGM encodes a critical enzyme in the glycosylphosphatidylinositol (GPI)‐anchor biosynthesis pathway. While promoter‐region mutations in PIGM have been associated with a relatively mild phenotype characterized by portal vein thrombosis and absence seizures, recent evidence suggests that coding‐region mutations result in a more severe
Júlia Sala‐Coromina +11 more
wiley +1 more source
The impact of wheel wear and track irregularity amplitudes on the operation of high-speed trains
This study proposes a coupled framework integrating wheel wear, track irregularities, and frozen conditions, while incorporating track irregularity amplitudes and ice mass into the analysis.
Xikang Hu +3 more
doaj +1 more source
Research on track damage identification based on the response of vehicle-rail contact point
In this paper, spring element is used to simulate the vertical support of ballast and sleepers to the rail, which is called “elastic support”. Low-pass filtering technology was adopted to extract the response of the driving frequency component in ...
Changsheng Xiang +4 more
doaj +1 more source
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky +5 more
wiley +1 more source
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source
Track and preventive maintenance are necessary for the safe and comfortable operation of railways. Track displacement measured by track inspection vehicles or trolleys has been primarily used for track management.
Hitoshi Tsunashima, Nozomu Yagura
doaj +1 more source
This study demonstrates how optimizing laser power, scanning speed, and hatching distance in laser powder bed fusion can boost the productivity of Inconel 718 manufacturing by up to 29% while maintaining mechanical integrity. The work delivers a validated process window and cost–time analysis, offering industry‐ready guidelines for efficient additive ...
Amir Behjat +7 more
wiley +1 more source
Creating Ti–Fe α/β Alloys by Diffusion‐Driven Solid‐State Processing
This study proposes making alloys containing fast diffusing elements that are difficult to produce by ingot metallurgy, by diffusion‐driven solid‐state HIP processing of elemental powders and low‐temperature homogenisation. Here, novel Fe‐Ti α–β alloys are formed having fine α–β lamellae, a small β prior grain size without significant intermetallics ...
Jiaqi Xu +10 more
wiley +1 more source

