Davidlequnchen/Awesome-AM-process-monitoring-control
A curated collection of research papers with open-source implementations/datasets focused on in-situ process monitoring and adaptive control in laser-based additive manufacturing.
This collection helps additive manufacturing (AM) engineers and researchers develop "zero-defect" parts. It provides research papers with open-source code and datasets for monitoring and controlling laser-based AM processes like Laser Powder Bed Fusion (LPBF). Users can find and apply methods for real-time defect detection and adaptive adjustments during manufacturing.
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Use this if you are working in laser-based additive manufacturing and need to implement real-time monitoring and adaptive control strategies to improve part quality and reduce defects.
Not ideal if your primary focus is on non-laser additive manufacturing processes or if you are looking for ready-to-use commercial software solutions rather than research-oriented open-source implementations.
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Mar 27, 2025
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