About this Abstract |
Meeting |
MS&T22: Materials Science & Technology
|
Symposium
|
Additive Manufacturing: Equipment, Instrumentation and In-Situ Process Monitoring
|
Presentation Title |
A-20: Real-time Process Monitoring for Multivariate Statistical Process Control in Powder Bed Fusion Metal Additive Manufacturing |
Author(s) |
Venkatavaradan Sunderarajan, Suman Das |
On-Site Speaker (Planned) |
Venkatavaradan Sunderarajan |
Abstract Scope |
The application of Multivariate Statistical Process Control (MSPC) to optimize Powder bed Fusion (PBF) metal Additive Manufacturing (AM) process parameters, as well as to continuously track and adjust them is presently at a low level of maturity. The ability to implement MSPC will ubiquitously bolster industry sectors where PBF metal AM adoption is currently hindered by the absence of a reliable framework for quality control. It is critical to establish reliable relationships between the AM process parameters and the process/part characteristics. Herein, the instrumentation used to facilitate real-time process monitoring for this purpose shall be demonstrated. Various instruments, their specific characteristics, the corresponding process information gathered as well as the data generation relevant to capturing the real-time physics of the process will be comprehensively detailed. This will enable us to validate currently known relationships between process variables and part quality metrics and to elucidate hitherto obscure and potentially complex ones. |