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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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Effects of TIG Process on Corrosion Resistance of 321 Stainless Steel Welding Joint

TL;DR: In this article, the effects of different TIG welding parameters on corrosion resistance of 321austenitic stainless steel welding joint were studied by means of intergranular corrosion test, SCC test and SEM.
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Effect of Multipasses on Microstructure and Electrochemical Behavior of Weldments

TL;DR: In this paper, the effect of welding passes on microstructural changes of base metal, base metal (BM), and weld zone (WZ) were elucidated using optical microscopy, potentiodynamic Tafel scan, and linear polarization resistance (LPR) methods in plain water and 3.5 pct NaCl solution under standard temperature and pressure using corrosion kinetic parameters.
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In situ observations and measurements during solidification of CuNi weld pools

TL;DR: In this article, a two-scale in situ observation set-up has been used to investigate the physical phenomena around the solid/liquid interface in welding, where a spot gas tungsten arc welding process is used to observe weld pool solidification phenomenon after arc extinction.
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Role of Reversed Austenite Behavior in Determining Microstructure and Toughness of Advanced Medium Mn Steel by Welding Thermal Cycle.

TL;DR: The more stable retained austenite was speculated to improve impact toughness in heat-affected zone (HAZ) and the possible Transformation Induced Plasticity (TRIP) effect at −60 °C test temperature may lower the impact toughness to some degree.
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.