Isothermal forging stands as an effective technology for the production of large-scale
titanium alloy multi-rib components. However, challenges have persisted, including die …

To ensure consistent performance of additively manufactured metal parts, it is advantageous
to identify alloys that are robust to process variations. This paper investigates the effect of …

The primary goal of this work is to provide easy-to-use and cutting-edge optimization
software designed to handle uncertainties, intended for use in research and education …

We present a data-driven, differentiable neural network model designed to learn the
temperature field, its gradient, and the cooling rate, while implicitly representing the melt …

This study employs a deep learning (DL) based stochastic approach to comprehensively
interpret the effects of current intensity and velocity variations on temperature evolutions and …

The wire arc additive manufacturing (WAAM) process involves a multitude of uncertain
parameters, making WAAM a complex system for analysis. To comprehensively investigate …