waam

Physics-guided thermal forecasting for Wire Arc Additive Manufacturing (WAAM) using real thermocouple data, leakage-aware machine learning, thermal-memory models, and sensor-constrained inverse PINN methods.

Transpilation from Gcode to KRL. Welding torch control via RJ45 cable connection between rpi5 and KRC4 using KRC4 internal I/O

Synthetic WAAM demo for residual-based arc-length monitoring, trend detection, and rule-based closed-loop control evaluation.

Experimental process–structure–property characterization of ER70S-6 low-alloy steel produced by robotic GMA-WAAM.

Acoustic-Driven HMM–RL Framework for WAAM Process Monitoring