[HTML][HTML] Process map** and anomaly detection in laser wire directed energy deposition additive manufacturing using in-situ imaging and process-aware machine …

A Assad, BD Bevans, W Potter, P Rao, D Cormier… - Materials & Design, 2024 - Elsevier
This work concerns the laser wire directed energy deposition (LW-DED) additive
manufacturing process. The objectives were two-fold:(1) process map**–demarcating the …

[HTML][HTML] Physics-informed online learning for temperature prediction in metal AM

P Sajadi, M Rahmani Dehaghani, Y Tang, GG Wang - Materials, 2024 - mdpi.com
In metal additive manufacturing (AM), precise temperature field prediction is crucial for
process monitoring, automation, control, and optimization. Traditional methods, primarily …

Selecting subsets of source data for transfer learning with applications in metal additive manufacturing

Y Tang, M Rahmani Dehaghani, P Sajadi… - Journal of Intelligent …, 2024 - Springer
Considering data insufficiency in metal additive manufacturing (AM), transfer learning (TL)
has been adopted to extract knowledge from source domains (eg, completed printings) to …

Effect of Closed-Loop Coaxial Melt Pool Temperature Control on Thermal History and Microstructure of Nickel Alloy 718 in Directed Energy Deposition

S Webster, J Jeong, JE Mogonye, J Zuback… - Journal of Materials …, 2025 - Elsevier
Advanced materials, better control methods, and unique toolpath planning strategies have
recently been enabled through development of novel, in-situ monitoring techniques in laser …

[HTML][HTML] A thermofluid temperature modeling, prediction of closed-loop cooling system of roll grinder based on circulation differential equations

Z Lin, P Feng, J Zhang - Applied Thermal Engineering, 2025 - Elsevier
Roll grinders are essential in high-precision roll manufacturing. However, lubricant
temperature fluctuations decrease the precision of grinders. The complicated dynamic heat …

MIMO system identification and uncertainty calibration with a limited amount of data using transfer learning

M Rahmani Dehaghani, P Sajadi, Y Tang… - … Journal of Systems …, 2024 - Taylor & Francis
Multiple-input multiple-output (MIMO) systems are fundamental in numerous advanced
engineering applications, from aerospace to telecommunications, where precise system …

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 …

Jema-Sindyc: End-to-End Control Using Joint Embedding Multimodal Alignment in Directed Energy Deposition

JP Sousa, B Brandau, R Hemschik, R Darabi… - Available at SSRN … - papers.ssrn.com
Abstract Bringing Artificial Intelligence (AI) models from digital simulations to real-world
applications presents significant challenges due to the complexity and variability of physical …

고밀도 에너지 열원을 적용한 와이어 용융 제어에 대한 리뷰

신중현, 강민정, 양재원 - 대한용접· 접합학회지, 2024 - dbpia.co.kr
As the industrial demand for welding with wire continues to rise, significant researches are
directed toward monitoring and controlling wire transfer to ensure consistent welding quality …