Applications of machine learning in monitoring and controlling the wire arc additive manufacturing: a review

Key Points

• Machine learning methods significantly improve monitoring capabilities in wire arc additive manufacturing processes.
• Key evidence highlights accelerated optimization of manufacturing processes by integrating advanced algorithms.
• This review discusses various data analysis approaches and their impact on controlling manufacturing quality and performance.
• Findings suggest that continued research into machine learning applications may lead to revolutionary changes in manufacturing efficiency.