| About this Abstract |
| Meeting |
Materials Science & Technology 2020
|
| Symposium
|
Additive Manufacturing: Equipment, Instrumentation and Measurement
|
| Presentation Title |
Combining In-situ Monitoring and X-ray Computed Tomography to Assess the Quality of Parts Manufactured by Powder Bed Fusion |
| Author(s) |
Philip Sperling, Patrick Fuchs |
| On-Site Speaker (Planned) |
Philip Sperling |
| Abstract Scope |
In recent powder bed fusion technologies for additive manufacturing different monitoring sensors are available. These monitoring technologies generate a huge amount of data during the production process. In the future this data could be used to avoid, reduce or precisely target following destructive or non destructive testing methods or even stop the production in an early stage. In the current state of insitu monitoring solutions the indications and process instabilities shown are very hard to interprete. Further investigations and correlations with post process testing measures are necessary. In our paper , we show how to correlate in situ monitoring data
with computed tomography results. For this, we produced two different sets of test pieces on metal powder bed fusion systems. Further, we show different approaches of analyzing the in situ data for process instabilities and how to use modern machine learning methods to correlate process signatures with part quality metrics. |