Additive Manufacturing - Visualizing Melt Pool Dynamics

This toolbox includes codes and example to visualize melt pools that are sensed and measured in the Laser powder bed fusion (LPBF) procecess

% This toolbox includes codes and the example to visualize melt pools that

% are sensed and measured in the Laser powder bed fusion (LPBF) process.

% LPBF is a key technology of additive manufacturing that enables the fab-

% rication of metal parts with complex geometry through a multi-layer process..

% Melt-pool morphological characteristics are eminent indicators for

% manufacturing process stability and part quality.

% Author: Dr. Hui Yang and Dr. Siqi Zhang

% Affiliation:

% The Pennsylvania State University

% 310 Leohard Building, University Park, PA

% Email: [e-mail]

% If you find this toolbox useful, please cite the following paper:

% [1] Zhang, S., Yang, H., Yang, Z., & Lu, Y. (2024). Engineering-Guided

% Deep Learning of Melt-Pool Dynamics for Additive Manufacturing Quality

% Monitoring. Journal of Computing and Information Science in Engineering,

% 24(10). DOI: 10.1115/1.4066026

% [2] Zhang, S., Lu, Y., & Yang, H. (2024). Multiscale basis modeling of

% 3D melt-pool morphological variations for manufacturing process monitoring.

% The International Journal of Advanced Manufacturing Technology, 1-12.

% DOI: 10.1007/s00170-024-13377-2

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