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Welding Metallurgy of
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The article was published on 1987-01-01 and is currently open access. It has received 991 citations till now. The article focuses on the topics: Welding.read more
Citations
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A review on selective laser sintering/melting (SLS/SLM) of aluminium alloy powders: Processing, microstructure, and properties
TL;DR: In this article, the state of the art in selective laser sintering/melting (SLS/SLM) processing of aluminium powders is reviewed from different perspectives, including powder metallurgy (P/M), pulsed electric current (PECS), and laser welding of aluminium alloys.
Journal ArticleDOI
Dislocation network in additive manufactured steel breaks strength–ductility trade-off
Leifeng Liu,Qingqing Ding,Yuan Zhong,Ji Zou,Jing Wu,Yu-Lung Chiu,Jixue Li,Ze Zhang,Qian Yu,Zhijian Shen +9 more
TL;DR: In this article, the authors show that the pre-existing dislocation network, which maintains its configuration during the entire plastic deformation, is an ideal modulator that is able to slow down but not entirely block the dislocation motion.
Journal ArticleDOI
Critical review of automotive steels spot welding: process, structure and properties
TL;DR: In this article, the fundamental understanding of structure-properties relationship in automotive steels resistance spot welds is discussed. And a brief review of friction stir spot welding, as an alternative to RSW, is also included.
Journal ArticleDOI
Revisiting fundamental welding concepts to improve additive manufacturing: From theory to practice
TL;DR: In this article, a unified equation to compute the energy density is proposed to compare works performed with distinct equipment and experimental conditions, covering the major process parameters: power, travel speed, heat source dimension, hatch distance, deposited layer thickness and material grain size.
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Using deep neural network with small dataset to predict material defects
TL;DR: This study attempted to predict solidification defects by DNN regression with a small dataset that contains 487 data points and found that a pre-trained and fine-tuned DNN shows better generalization performance over shallow neural network, support vector machine, and DNN trained by conventional methods.
References
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Journal ArticleDOI
Effect of welding sequence on residual stress distributions in GTA welding of AA5251 plate
TL;DR: In this paper, a thermo-mechanical model has been used to predict the temperature history and residual stress distribution in gas tungsten arc welding of AA5251 plates.
Dissertation
Coupled Field Modeling of Gas Tungsten Arc Welding
TL;DR: In this article, a 3D model for the thermo-mechanical analysis of thin stainless steel butt-joint plates has been developed, which incorporates the effects of thermal energy redistribution through weld pool dynamics into the structural behavior calculations.
Journal ArticleDOI
Study of the effect of growth kinetic and nucleation law on grain structure simulation during gas tungsten arc welding of Cu-Ni plate
TL;DR: In this paper, the influence of growth kinetic models and nucleation models on the grain structure predicted by cellular automata (CA) during bead bead on Cu30Ni thin plate was investigated.
Investigation of the precipitation and hardening response of maraging stainless steels 17-4 and 13-8+Mo during multi-pass welding
TL;DR: In this article, the influence of multi-pass Weld thermal cycles on the Microstructure and Hardness of Maraging Steels 17-4 and 13-8+Mo was investigated.