Additive Manufacturing - Visualizing Melt Pool Dynamics

版本 1.0.2 (45.8 KB) 作者: Hui Yang
This toolbox includes codes and example to visualize melt pools that are sensed and measured in the Laser powder bed fusion (LPBF) procecess
0.0
(0)
42.0 次下载
更新时间 2024/10/7

查看许可证

% 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: yanghui@gmail.com
% 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
https://youtu.be/8zeC7M6Nj-A
https://youtu.be/Iz0tQePA6Po
https://youtu.be/M0Zkg015x4I

引用格式

Hui Yang (2026). Additive Manufacturing - Visualizing Melt Pool Dynamics (https://ww2.mathworks.cn/matlabcentral/fileexchange/173645-additive-manufacturing-visualizing-melt-pool-dynamics), MATLAB Central File Exchange. 检索时间: .

Zhang, Siqi, et al. “Engineering-Guided Deep Learning of Melt-Pool Dynamics for Additive Manufacturing Quality Monitoring.” Journal of Computing and Information Science in Engineering, vol. 24, no. 10, ASME International, Aug. 2024, doi:10.1115/1.4066026.

查看更多格式

Zhang, Siqi, et al. “Multiscale Basis Modeling of 3D Melt-Pool Morphological Variations for Manufacturing Process Monitoring.” The International Journal of Advanced Manufacturing Technology, Springer Science and Business Media LLC, Mar. 2024, doi:10.1007/s00170-024-13377-2.

查看更多格式
MATLAB 版本兼容性
创建方式 R2015a
兼容任何版本
平台兼容性
Windows macOS Linux
标签 添加标签

版本 已发布 发行说明
1.0.2

modified title
1.0.1

adding the youtube video links
1.0.0