
Generate an image: # Invar36 WAAM multi-source data-driven JEPA–LNN–MPC industrial-grade method flowchart --- ## Overall Goal > Aiming at Invar36 thin-walled component wire arc additive manufacturing (WAAM), construct a closed-loop method of **multi-source data → physical skeleton JEPA → LNN residual dynamics → forward prediction → MPC process planning** to achieve predictable macroscopic geometric forming, controllable thin-wall instability, and plannable process parameters. --- ## I. Complete Method and Experimental Closed-Loop Flowchart (Single Image Expression) ``` ┌────────────────────────────────────────────────────────────┐ │ Invar36 WAAM Experimental System │ │ Current/Voltage Melt Pool Camera Thermocouple FEM Simulation Laser Scanning │ └───────────────┬───────────────────────────────┬──────────┘ │ │ ▼ ▼ ┌──────────────────────────┐ ┌─────────────────────────┐ │ Multi-source Online Process Data x(t) │ │ Offline Result Data y_final │ │ I,V,Melt Pool Image,T(t),FEM │ │ Final Geometry/Contour/Defects │ └───────────────┬──────────┘ └──────────────┬──────────┘ │ │ ▼ │ ┌────────────────────────────────────────────────────────────┐ │ Multi-source Data Preprocessing & Synchronous Alignment Module │ │ • Signal
Multilayer graphene was dispersed in 50 ml of deionized wate...