Research Work
Prediction and control of the porosity formation during the additive manufacturing of Stainless Steel 316L using optical based In-situ monitoring method
In recent years, Direct Energy Deposition (DED), as one of the key metal additive manufacturing (AM) processes, has gained considerable traction. It is an effective method for fabricating complex components and for repair manufacturing. Despite technological advancements, the challenge of porosity formation continues to impact the mechanical integrity and performance of final components. Porosities can arise from various factors, including specific process parameters and inherent material properties. Current methods for identifying and addressing porosity-related defects predominantly rely on post-manufacturing inspections, which are both time-consuming and resource-intensive. Therefore, developing a proactive approach to predict the location and occurrence of porosity and to control its formation during the AM process is critically important. My research focuses on using optical-based in-situ monitoring technique, particularly Optical Emission Spectroscopy (OES), within the DED process to establish a novel method for real-time prediction, localization, categorization, and control of porosity during the additive manufacturing of Stainless Steel 316L.
Outcome
Acknowledgement
