Muhammad Zaiyad Muda

Thermal Data-Driven Quality Prediction in Wire Arc Additive Manufacturing via Machine Learning and Anomaly Detection

Maintaining consistent quality control is a significant challenge in Wire Arc Additive Manufacturing (WAAM). However, real-time monitoring remains difficult due to the impracticality of manual labelling of complex, continuous thermal data during production. This paper proposes a framework utilizing temperature data and...