Results 111 to 120 of about 13,628 (207)

Enhanced Rail Surface Defect Segmentation Using Polarization Imaging and Dual-Stream Feature Fusion. [PDF]

Sensors (Basel)
Pan Y, Chen J, Wu P, Zhong H, Deng Z, Sun D.   +5 more
europepmc   +1 more source

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

steel 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, Sergi Parareda, Jose Jorge Espí‐Gallart, Jaume Pujante, Gustaf Gustafsson, Henrik Sieurin, David Frómeta, Daniel Casellas   +7 more
wiley   +1 more source

Real-Time Detection and Quantification of Rail Surface Cracks Using Surface Acoustic Waves and Piezoelectric Patch Transducers. [PDF]

Sensors (Basel)
Rezaei M, Eck S, Fichtenbauer S, Maierhofer J, Klambauer R, Bergmann A, Künstner D, Velic D, Gänser HP.   +8 more
europepmc   +1 more source

Investigation of the Reoxidation and Material Behavior of Directly Reduced Pellets and Fines Under Simulated Rail Transport Conditions

steel research international, EarlyView.
The study investigates the reoxidation behavior of DRI pellets (Midrex and H2‐reduced) under realistic conditions, considering the test parameters of temperature, humidity, storage duration, particle size (including fine fraction), and container geometry. The samples are analyzed based on mass changes.
Bernd Taferner, Johannes Schenk, Richard Schanner, Peter Gluschitz, Jan Eisbacher‐Lubensky   +4 more
wiley   +1 more source

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

steel 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, Savyasachi Nellikode, YeoJin Jang, Sumin Lee, Dileep Chandran Ramachandran, Sung‐bo Heo, Jinyoung Lee, Young‐Kook Lee, Yeong‐Do Park   +8 more
wiley   +1 more source

Rail surface defect data enhancement method based on improved ACGAN. [PDF]

Front Neurorobot
Zhendong H, Xiangyang G, Zhiyuan L, Xiaoyu A, Anping Z.   +4 more
europepmc   +1 more source

Crash Behavior of DP800–DP1000 Advanced High‐Strength Steel’s Dissimilar Resistance Spot Welded Joints Under Quasi‐static and High Strain Rates

steel research international, EarlyView.
The high‐strain‐rate behavior of resistance spot‐welded DP800–DP1000 joints is investigated. Results show that microstructural gradients across BM–HAZ–FZ govern hardness, strain rate sensitivity, and failure modes. While strength increases with strain rate, energy absorption is controlled by ductility, with DP800–DP800 joints showing superior ...
Pankaj Shrivastava, Velaphi Msomi
wiley   +1 more source

Strain‐Induced NbC Precipitation as a Governing Mechanism for Hot Deformation Resistance in CrNiMnMoB Ultrahigh‐Strength Steels

steel research international, EarlyView.
Strain‐induced NbC precipitation governs hot‐deformation resistance in CrNiMnMoB ultrahigh‐strength steel by suppressing dynamic recrystallization, increasing activation energy, and refining martensitic substructures. The precipitation response is controlled by temperature, supersaturation, and strain rate, with slow deformation promoting extensive NbC
Atef Hamada, Ali Khosravifard, Khaled Elanany, Ahmed W. Abdelghany, Jukka Kömi, Pasi Suikkanen, Mohammed Ali   +6 more
wiley   +1 more source

A Binocular Color Line-Scanning Stereo Vision System for Heavy Rail Surface Detection and Correction Method of Motion Distortion. [PDF]

J Imaging
Wang C, Luo W, Niu M, Li J, Song K.
europepmc   +1 more source

Prediction of Ceiling Temperature in Tunnel Fires Under Canyon‐Wind Conditions Using Ensemble Learning

Safety Science and Technology, EarlyView.
A LightGBM‐based ensemble learning framework with SHAP interpretability analysis was developed for predicting ceiling temperature in canyon‐wind tunnel fires. The model demonstrated robust generalization (R2 = 0.7476) under unseen extreme conditions, with fire‐source location identified as the primary factor driving temperature evolution.
Qinqin Zhu, Xinyu Wang, Ao Jiao, Feifei Liu, Junyi Li, Chuangang Fan   +5 more
wiley   +1 more source