High-speed Interpretable Representation Learning of Melt Pool Signatures in Metal Additive Manufacturing
IEEE Conference on Automation Science and Engineering（2024）
Key words
Additive Manufacturing,Melt Pool,Metal Additive Manufacturing,Deep Learning,High Speed,3D Printing,Video Frames,Handcrafted Features,Printing Process,Variational Autoencoder,Interpretation Of Features,Data-driven Techniques,Training Set,Monte Carlo Simulation,Support Vector Machine,Decoding,Deep Neural Network,Sequencing Of Samples,Energy Density,Black Box,Maximum A Posteriori,Feature Space,Understanding Of System,Increase In Energy Density,Input Feature Vector,Data-driven Learning,Image Space,Secondary Loss,Mean Vector,PI Controller
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