1 citations · 1 across the 3 of their papers we have counts for
3 papers
Integrating Machine Learning with Multimodal Monitoring System Utilizing Acoustic and Vision Sensing to Evaluate Geometric Variations in Laser Directed Energy Deposition
Ke Xu, Chaitanya Krishna Prasad Vallabh, Souran Manoochehri
Laser directed energy deposition (DED) additive manufacturing struggles with consistent part quality due to complex melt pool dynamics and process variations. While much research t…
Binocular Model: A deep learning solution for online melt pool temperature analysis using dual-wavelength Imaging Pyrometry
Javid Akhavan, Chaitanya Krishna Vallabh, Xiayun Zhao +1
In metal Additive Manufacturing (AM), monitoring the temperature of the Melt Pool (MP) is crucial for ensuring part quality, process stability, defect prevention, and overall proce…
TDIP: Tunable Deep Image Processing, a Real Time Melt Pool Monitoring Solution
Javid Akhavan, Youmna Mahmoud, Ke Xu +2
In the era of Industry 4.0, Additive Manufacturing (AM), particularly metal AM, has emerged as a significant contributor due to its innovative and cost-effective approach to fabric…