Sigma Labs Inc (SASI)

[VisionaryInc]

Oerlikon completed study detailing the effectiveness of Printrite3D in AM printers.

Could possibly be the next OEM agreement to come.

Would be a significant capture for the entire AM market.

Sigma Labs proven yet again to be accurate and the best way to certify parts in real time.


Additive Manufacturing by Laser Powder Bed is well-established in several sectors as a manu-
facturing method of metallic components.

However, it has some limitations due to some quality and repeatability concerns for critical applications with high fatigue and damage tolerance requirements.
The complexity of the process and its multi-physical nature make it dicult to anticipate the presence of defects and leads to some unexpected defects.

Therefore, Oerlikon AM GmbH is
assessing in-process monitoring solutions in order to analyse in real-time the process, identify the sources of variability and for the tuning of the Key Process Variables.

Investigations by Optical Microscopy or Computed Tomography scan were performed on several test samples and were compared with the metrics obtained with PRINTRITE3D® developed by Sigma Labs Inc.

Initial results showed that the system is able to highlight laser/material interaction
variation across the build platform and to detect some discrepancies such as voids and lack of
fusions.

*Electronic address:[e-mail];

URL: https://www.oerlikon.com/am/en/

IV. CONCLUSION
It appears that the analysis of outliers and the statistical distribution of the TEP signal
makes it possible to identify potential defective parts quickly. Printrite3D allows a quick
selection of non-compliant parts which might require a targeted inspection, thereby the
inspection ressources can be more eectively used.

Analysis of outliers and the observations of the lower and upper tails of the distributions
of the data can be used to highlight unusual interaction between the laser and the powder
bed.

If the system cannot be a complete substitute of conventionnal NDT methods, it could be used as a cheap and quick way to discriminate discrepancies at the layer level.

It was demonstrated that IPQA/IQPM solution could be a Laser Powder Bed machines
agnostic system to detect issues during the process and implemented as a real time process
monitoring system.

Furthermore, a statistical process control system can be built around
the analysis of signals in serial production by detection of unexpected events for preventive
maintenance purpose or process input drifts.


[1] O.Rehme, C.Emmelmann, Reproducibility for properties

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