Open Access
Welding Metallurgy of
Reads0
Chats0
About:
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
More filters
Dissertation
Development of a metal 3D printing process for jewelry production utilizing titanium
TL;DR: Roozbahani et al. as mentioned in this paper developed a metal 3D printing process for jewelry production utilizing Titanium Master Thesis, 2019 63 pages, 54 figures and 19 table.
Journal ArticleDOI
The Effect of Arc Current on Microstructure and Mechanical Properties of Hybrid LasTIG Welds of High-Strength Low-Alloy Steels
TL;DR: In this paper, a hybrid laser-tungsten inert gas (LasTIG) welding system was applied for 3mm-thick S460MC and S700MC high-strength low-alloy steel sheet butt welding with the aim to reduce the cooling rate compared with laser welding.
Journal ArticleDOI
The Mechanism for HAZ Liquation of Nickel-Based Alloy 617B During Gas Tungsten Arc Welding
TL;DR: The mechanism for HAZ liquation of alloy 617B during gas tungsten arc welding (GTAW) was investigated in this paper, and it was found that the constitutional liquation mechanism of M23C6 carbides is responsible for the haaz liquation in alloy 6 17B.
Dissertation
Solidification and phase transformations in a dissimilar steel weld 18MND5/309L/308L : evolution of microstructure and mechanical properties
TL;DR: In this article, a mesoscopic thermodynamic and kinetic model based on Calphad databases has been developed to fully couple long-range diffusion in a multi-component system with precipitates nucleation and growth.
Analysis of Welding Characteristics on Stainless Steel for the Process of TIG and MIG with Dye Penetrate Testing
TL;DR: In this article, the mechanical properties of austentic stainless steel for the process of TIG and MIG welding are discussed. And the voltage is taken constant and various characteristics such as strength, hardness, ductility, grain structure, modulus of elasticity, tensile strength breaking point, HAZ are observed in two processes and analyzed and finally concluded.
References
More filters
Journal ArticleDOI
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.
Journal ArticleDOI
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.