Results 101 to 110 of about 4,894 (287)

Optimization of Welding Sequence for Frame Structures Based on Discrete Particle Swarm Optimization to Mitigate Welding Deformation

open access: yesMetals
Welding deformation in large thick-plate structures can severely compromise manufacturing quality, making its prediction and control a critical engineering challenge.
Jigang Liu   +3 more
doaj   +1 more source

Variation Simulation of Spot Welding Sequence for Sheet Metal Assemblies

open access: yes, 2010
One of many factors affecting the final geometrical outcome of a sheet metal assembly is the spot welding sequence, used when the parts are welded together.
Wärmefjord, Kristina   +4 more
core  

Optimization of Welding Sequence and Improvement of Welding Process for Large-Diameter Curved Penetrations of Thick Plates

open access: yes
To reduce welding deformation during the automated welding of intersection seams on thick plate curved penetrations and thereby improve welding quality and efficiency, an optimized method for segmented and multi-layer multi-pass welding sequences, along ...
Haipeng Miao   +4 more
core   +1 more source

3D‐Printed Magnetoelectronics for Interactive Appliances and Self‐Aware 4D‐Printed Mechatronics

open access: yesAdvanced Science, EarlyView.
3D‐printed magnetoelectronics integrate high‐performance magnetic field sensing directly into complex structural components. Flexible spring and cross‐shaped sensors exhibit giant magnetoimpedance and 3D Hall sensing for vector field reconstruction. Applications include smart‐home switches, robotic joysticks, volumetric magnetometers, and self‐aware 4D‐
Eduardo Sergio Oliveros‐Mata   +5 more
wiley   +1 more source

Finite Element Analysis of Welding Distortion in a Large Thin-plate Panel Structure [PDF]

open access: yes
Welding distortion not only negatively affects the dimensional accuracy but also significantly degrades the quality and performance. Although many researchers and engineers have made great efforts to control and reduce welding deformation, it is still a ...
Ma, Ninshu   +2 more
core   +2 more sources

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

open access: yesAdvanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou   +3 more
wiley   +1 more source

An Investigation into the Influence of Weld Bead Sequence on Residual Stress Distribution in a High-Speed Train Bogie Beam Using Thermo-Elastic–Plastic Finite Element Analysis

open access: yesMetals
The bogie serves as a critical structural component in high-speed trains, subjected to dynamic loads throughout its operational lifecycle. Enhancing the fatigue life of the bogie necessitates not only ensuring welding quality but also effectively ...
Gaojian Wang   +5 more
doaj   +1 more source

Prediction and Welding sequence of Minimum Welding Deformation in Large Steel Block Welding [PDF]

open access: yesJournal of Welding and Joining, 2017
Jeong-ung Park   +2 more
openaire   +1 more source

Taming Flexibility: Synergistic Pore and Polarity Engineering in a MOF for High‐Efficiency Xe/Kr Separation

open access: yesAdvanced Science, EarlyView.
Through a mixed‐ligand strategy that precisely regulates pore size and framework polarity, the Xe adsorption behavior is transformed from flexible to near‐rigid. ZIF‐7‐Cl(20) achieves sensitive recognition, efficient capture, and high selectivity for Xe, enabling high‐efficiency separation from Xe/Kr mixtures.
Tao Zhao   +10 more
wiley   +1 more source

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