Effect of weld travel speed on solidification cracking behavior. Part 1: weld metal characteristics

Henrik Nilsson METAL DEPOSITION EXPERIMENTS Electrode angle and weld speed

Effect of Acicular Ferrite on Cracking Sensibility in the Weld Metal of Q690+Q550 High Strength Steels

High strength steels Q690+Q550 were welded using three different welding wires without preheating by gas shielded arc welding process. Microstructural characteristics of weld metals and nucleation mechanism of acicular ferrite were investigated by means of scanning electron microscope (SEM), energy dispersive spectrum (EDS) and transmission electron microscope (TEM). The straight Y-groove test ...

Stress Corrosion Cracking Susceptibility of 304L Substrate and 308L Weld Metal Exposed to a Salt Spray

304 stainless steels (SS) were considered as the materials for a dry storage canister. In this study, ER (Electrode Rod) 308L was utilized as the filler metal for the groove and overlay welds of a 304L stainless steel substrate, which was prepared via a gas tungsten arc-welding process in multiple passes. The electron backscatter diffraction (EBSD) map was used to identify the inherent microstr...

Microstructural characterisation of as-deposited and reheated weld metal — High Strength Steel Weld Metals

The problems encountered with the interpretation of martensite and the various forms of bainite that are found in high strength steel weld metals have been addressed. Field emission gun scanning electron microscopy was found to overcome resolution difficulties often met with light optical microscopy and conventional scanning electron microscopy. The various microstructural constituents were cha...

Prediction of Weld Width of Shielded Metal Arc Weld under Magnetic Field using Artificial Neural Networks

I. Abstract: The prediction of the optimal weld bead width is an important aspect in shielded metal arc welding (SMAW) process as it is related to the strength of the weld. This paper focuses on investigation of the development of the simple and accurate model for prediction of weld bead width of butt joint of SMAW process. Artificial neural networks technique was used to train a program in C++...