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![Schematic illustration of machine learning and digital twin–based modeling approaches for monitoring and control of friction stir welding (FSW), showing integration of realtime sensor data, predictive machine learning models, and digital twin simulation for HAZ property prediction and process optimization [4].](/journal/templates/html/17/6316/figures/6316.fig.005.svg)
Impact of Welding Standards on Heat Affected Zone: A Critical Review of the Methods, Consumables, and Environmental Degradation on the Performance of API 5L X52 in Sour Service
Online Journal of Engineering Sciences
| Vol 5, Issue 1
Figure 5
Figure 5.
Schematic illustration of machine learning and digital twin–based modeling approaches for monitoring and control of friction stir welding (FSW), showing integration of realtime sensor data, predictive machine learning models, and digital twin simulation for HAZ property prediction and process optimization [4].