Enhancing the robustness of rib-groove filling and strain homogeneity in the isothermal forging of titanium alloy multi-rib components

T Ding, K Wei, Y Hou, X Dong, L Huang… - Chinese Journal of …, 2024 - Springer
Isothermal forging stands as an effective technology for the production of large-scale
titanium alloy multi-rib components. However, challenges have persisted, including die …

[HTML][HTML] Development of Robust Steel Alloys for Laser-Directed Energy Deposition via Analysis of Mechanical Property Sensitivities

J Kelley, JW Newkirk, LN Bartlett, SP Isanaka, T Sparks… - Micromachines, 2024 - mdpi.com
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 …

MeltpoolINR: Predicting temperature field, melt pool geometry, and their rate of change in laser powder bed fusion

M Manav, N Perraudin, Y Lin, M Afrasiabi… - arXiv preprint arXiv …, 2024 - arxiv.org
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 …

Sensitivity study of process parameters of wire arc additive manufacturing using probabilistic deep learning and uncertainty quantification

TQD Pham, VX Tran - Concurrent Engineering, 2024 - journals.sagepub.com
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 …

Effects of Process and Heat Source Parameters on Temperature Evolution in Thin-wall Wire Arc Additive Manufacturing using Explainable Deep Learning

TQD Pham, CM Bui, T Van Le… - Science and …, 2023 - stdj.scienceandtechnology.com.vn
The wire arc additive manufacturing (WAAM) process involves a multitude of uncertain
parameters, making WAAM a complex system for analysis. To comprehensively investigate …