Online thermal field prediction for metal additive manufacturing of thin walls

Y Tang, MR Dehaghani, P Sajadi, SB Balani… - Journal of Manufacturing …, 2023 - Elsevier
Various data-driven modeling methods have been developed to predict the thermal field in
metal additive manufacturing (AM). The generalization capability of these models has been …

An investigation of the mechanical characteristics of BH 340 gas metal arc welded joints using digital image correlation technique and regression analysis

D Zhao, K Guseinov, N Vdonin - The International Journal of Advanced …, 2024 - Springer
The aim of this study is to provide mechanical characteristics to assist relevant industrial
manufacturers in selecting suitable welding process parameters (welding current, voltage …

Design and Optimization of Thin-Walled Main Support Structure for Space Camera Based on Additive Manufacturing

J Peng, S Liu, D Wang, A Xu, X Huang, T Ma, J Wang… - Micromachines, 2024 - mdpi.com
In order to solve the design requirements of high stiffness and lightweight for the primary
support structure of a wide-field auroral imager, we propose a solution for designing and …

Low-Cost Melt Pool Temperature Prediction Using Visible Light Camera and Machine Learning in Laser Hot-Wire Directed Energy Deposition

M Rahmani Dehaghani… - International …, 2024 - asmedigitalcollection.asme.org
Laser wire directed energy deposition (DED-LB/w) offers notable efficiency in metal additive
manufacturing (AM), allowing rapid component fabrication with high material utilization …

[CITATION][C] Laser Metal Wire Deposition for Additive Manufacturing of Complex Solid Structures

A Solanki, R Singari, A Singholi - Journal of Advanced …, 2024 - World Scientific
Researchers previously encountered challenges in achieving high material efficiency and
precise control in laser metal wire deposition, such as variability in friction, fluctuations in …