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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.

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Effect of electron beam welding parameters on dissimilar joints of aisi 430 ferritic stainless steel and aisi 1020 low carbon steel

TL;DR: In this article, the optimization of welding parameters of electron beam welded joints of dissimilar materials namely AISI 430 ferritic stainless steel and low carbon steel (0.21% C) was presented.
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Modeling Fusion Welds: A Multi-Scale Submodeling Approach

Bonifaz Ea
TL;DR: A transient non-linear multi-scale finite element heat flow-mechanical model to determine micro-residual stresses was developed and a strong dependence of micro residual stresses on grain size is clearly observed.

The development of low cost GMAW Fe-Al-Cr filler metals for corrosion resistant weld overlay applications

TL;DR: In this article, the authors investigated the hydrogen cracking susceptibility and corrosion resistance of Fe-AI-Cr powder cored and solid core wires with hydrogen trapping and arc stabilizing additions and found that hydrogen cracking occurs in these claddings at elevated Al and Cr compositions and is strongly related to the microstructure of the weld fusion zone and the amount of diffusible hydrogen present in the weld overlay.
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The Effect of Filler ER4043 and ER5356 on Porosity Distribution of Welded AA6061 Aluminum Alloy

TL;DR: In this paper, the effect of different fillers ER4043 (Al-5%Si) and ER5356 (Al 5%Mg) on porosity formation of AA6061 alloy welded joints was investigated.
References
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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.
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Dislocation network in additive manufactured steel breaks strength–ductility trade-off

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.