Abstract Robotic Wire and Arc Additive Manufacturing (WAAM) is an ideal process for
manufacturing large-scale or large-format parts efficiently and economically, as compared …

The arc welding process involve complex physical and chemical phenomena, which makes
mathematical modeling difficult. Its modeling uses the heat source concept to model the …

In robotic GMAW-based additive manufacturing, the surface evenness of the deposited layer
was significant to the dimensional accuracy and the stable fabrication process, and it was …

Dimension prediction of robotic wire and arc additive manufacturing (WAAM) part is
fundamentally dependent on the modelling accuracy of single-bead profile and its …

Penetration morphology has an important influence on the weld quality. Due to the nonlinear
and strong coupling characteristics of welding process, neural network is often used to …

The research paper investigates the prediction capability of the artificial neural network for
weld quality assessment from the captured voltage signals in a gas metal arc welding …

The ferrite content of austenitic stainless steel welds seriously affects to perform stainless
steel welds. Keeping the ferrite content at the lower limit can reduce the thermal crack …

Bead size and shape are important considerations for industry design and quality detection.
It is hard to deduce an appropriate mathematical model for predicting the bead geometry in …

In order to realize the intelligence and flexibility of V-groove robot welding of medium-thick
plates, a multi-layer welding process control strategy for welding with a weaving robot is …

This paper builds an infinity shaped (“∞”-shaped) laser scanning welding test platform
based on a self-developed motion controller and galvanometer scanner control gateway …