A wide range of in-situ/ex-situ sensors and measurement devices have increasingly been instrumented on laser-based additive manufacturing (AM) machines. Manufacturers use these sensors and devices to collect a variety of data to monitor process performance to ensure part quality. Integrating the data from these different sensors and devices is needed to monitor the AM process and inspect the fabricated part. Each sensor type has unique characteristics, and the data collected from each sensor is in its own, local coordinate system. Because of this, registering data is now necessary and it has two parts: aligning the actual data and providing metadata about each sensor. This talk justifies the need for data registration and analyzes gaps in the current registration approaches. The speaker will review pre-process, in-process and post-process data landscape and identify a set of metadata elements for registering sensor data. Furthermore, aligning microstructural and mechanical-property data to the common coordinate system will be described and discussed. The speaker will then go through a course of actions for data registration with the associated metadata elements. The methods and procedure are then input to the standardization of AM data registration in a joint ISO and ASTM effort. Lastly, conclusions will be provided.
- Describe the need to register AM data to ensure part qualification.
- List a variety of sensors and devices used to monitor AM processes and inspect the fabricated parts for a set of possible defects.
- Use the described data registration methods to align multimodal sensor data to a global reference coordinate system for the downstream applications.