Results 61 to 70 of about 7,548 (270)

A predictive model of energy savings from top of rail friction control

open access: yes, 2014
In this paper the authors present a predictive model of train energy requirements due to the application of a top of rail friction modifier (TOR-FM) versus dry wheel / rail conditions. Using the VAMPIRE® Pro simulation package, train energy requirements
VanderMarel, Joel   +3 more
core   +1 more source

Effects of Radius of Curved Rail on Rail Wear

open access: yes, 2015
One of the most sensible issues in the railway industry is the impact on infrastructure of train operations and the damage on vehicles provoked by the track conditions. These issues have a significant impact on the life cycle costs of the railway networks.
openaire   +6 more sources

Increasing the Reuse Potential of High‐Strength Steels by Extending the Fatigue Life through Surface Treatments

open access: yessteel research international, EarlyView.
Surface reconditioning through mechanical and electrochemical polishing is shown to extend the fatigue life of predamaged 42CrMo4 steel by over 12 times. By removing ≈100 μm of surface material, surface‐driven fatigue damage is mitigated. This study introduces a reuse potential metric to evaluate fatigue recovery and support sustainable steel reuse. To
Ayush Shrivastava   +7 more
wiley   +1 more source

Press Hardening for Sustainable Lightweight Chassis Design in Heavy‐Duty Vehicles: A Material Performance and Life Cycle Assessment Approach

open access: yessteel research international, EarlyView.
The article explores how high‐strength steels and press hardening revolutionize lightweight chassis design for heavy‐duty vehicles. It reveals that press hardened steels combined with shot peening can cut weight by up to 34% and reduce environmental impact by 21%–32%.
Violeta Vargas‐Parra   +7 more
wiley   +1 more source

Insights Into Paint‐Bake Toughening of Resistance Spot Welds of a 2.0 GPa Warm‐Stamped Medium‐Mn Steel

open access: yessteel research international, EarlyView.
Paint baking of resistance spot welded joints of 2.0 GPa warm‐stamped medium‐Mn steel activates low‐temperature tempering, forming fine cementite in the fusion zone and enhancing toughness. Crack propagation resistance increases, shifting the failure mode from partial interfacial to complete pullout, with peak load and energy absorption rising ...
Sunusi Marwana Manladan   +8 more
wiley   +1 more source

WHEEL–RAIL WEAR INVESTIGATION ON A HEAVY HAUL BALLOON LOOP TRACK THROUGH SIMULATIONS OF SLOW SPEED WAGON DYNAMICS

open access: yesTransport, 2017
Heavy haul railway track infrastructure are commonly equipped with balloon loops to allow trains to be loaded/unloaded and/or to reverse the direction of travel.
Yan Quan Sun   +3 more
doaj   +1 more source

Side Wear Prediction of a Subway Outer Rail on Small Radius Curves Based on System Dynamics of Discrete Supported Track

open access: yesDiscrete Dynamics in Nature and Society, 2022
When a subway train runs on a small radius curve, it causes serious side wear of the outer rail, and a large number of the outer rails of the curve are replaced frequently due to excessive side wear.
Xianxian Yin   +3 more
doaj   +1 more source

Rail-wheel Interaction and Its Influence on Rail and Wheels Wear

open access: yesProcedia Manufacturing, 2019
Abstract Railway superstructure and the rolling stock form a complex mechanical system. Due to the interaction between the rolling stock and the rail, wears occur, both at the wheel profile, as on the rail. This wears generate interaction forces that accelerates the railway track deterioration.
Madalina Ciotlaus   +3 more
openaire   +1 more source

Investigating SME‐Inclusive Public‐Private AI Innovation Network: Evidence From U.S. Small Business Administration (1991–2023)

open access: yesThunderbird International Business Review, EarlyView.
ABSTRACT Understanding innovation policy is pivotal to enhancing national competitiveness for global value chain. This research investigates an SME‐Inclusive public‐private AI innovation network over time in the U.S. context (1991–2023), revealing how a government's demand‐based innovation policy bolsters technological prowess through isomorphism and ...
Jiyoon An
wiley   +1 more source

Lightweight Convolutional Neural Networks Model and Data Augmentation‐Based Background Regression for Rail Surface Defect Detection

open access: yesArtificial Intelligence for Engineering, EarlyView.
An ultra‐lightweight semantic segmentation network RailNet with only 0.905 M parameters is proposed for rail surface defect detection. Combined with a CDBM image enhancement and GAN‐based data augmentation, RailNet achieves superior segmentation accuracy and real‐time speed on edge devices.
Ziqing Wu   +4 more
wiley   +1 more source

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