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.

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Experimental

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.

additive-manufacturing laser-powder-bed-fusion process-monitoring quality-control materials-science
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 10 / 25

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Last pushed

Mar 27, 2025

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