94 citations · 98 across the 4 of their papers we have counts for
4 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…
Influence of Spattering on In-process Layer Surface Roughness during Laser Powder Bed Fusion
Haolin Zhang, Chaitanya Krishna Prasad Vallabh, Xiayun Zhao
Laser powder bed fusion (LPBF) holds promise to efficiently produce metal parts. However, LPBF incurs stochastic melt pool (MP) spattering, which would roughen workpiece in-process…
Single-camera Two-Wavelength Imaging Pyrometry for Melt Pool Temperature Measurement and Monitoring in Laser Powder Bed Fusion based Additive Manufacturing
Chaitanya Krishna Prasad Vallabh, Xiayun Zhao
Melt pool (MP) temperature is one of the determining factors and key signatures for the properties of printed components during metal additive manufacturing (AM). The state-of-the…