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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.
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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.
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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
Application of Differential Transform Method for Estimating Thermal Cycle Developed in GTA Welding of High Carbon Steel Joints
TL;DR: In this paper, a detailed study of temperature cycle formed during Gas Tungsten Arc welding of high carbon steel (AISI 1090) butt joints is revealed, where the temperature distribution along fusion boundary to longitudinal direction of the weldment is estimated by mounting thermocouples on the plate along with Data Acquisition System.
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Effects of interface conditions on heat and mass transfer during modeling of laser dissimilar welding
TL;DR: In this paper, an improved 3D heat and mass transfer model was developed to study the effects of interface conditions during modelling of laser dissimilar welding, where the interface conditions consist of...
Dissertation
Quality Parameter Analysis at GKN Aerospace Sweden
Christian Larsson,Sagar Vaishak +1 more
TL;DR: In this paper, the turbine structure was the product in focus and weld quality was addressed as the key issue, which was then systematized in the form of a map to show the relation between influencing parameters and their relation to the weld quality.
A theory for accelerated stress corrosion cracking in arc-welded aluminum alloys and mitigation by precision additive dressing
TL;DR: In this paper, the authors show that the heat-affected zone (HAZ) of fusion welds has proven more susceptible to SCC than the TMAZ of FSW.
Response of Weldment Heat Affected Zone Hardness to the Operational Welding Current Resistance
TL;DR: In this paper, the welding of selected engineering materials: aluminium, mild steel and cast iron using the shielded metal arc technique and evaluation of the heat affected zone (HAZ) hardness of their respective weldments similarly cooled in palm oil.