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Boosting Additive Manufacturing Quality, Economics and Efficiency with Monitoring and Alerts

Organizations have faced challenges in realizing true productivity improvements in the additive manufacturing/3D metal processes. While cost reductions in producing parts can be realized by monitoring and implementing scrap fraction productivity improvements, the cost and efficiency benefits can be accelerated substantially with the addition of diagnosis and alert technology.

This session will discuss the benefits of adopting melt pool monitoring technology that gives you a clear view of in-process anomalies, as well as the diagnostic and alert tools to not only improve part performance metrics but also the efficiency and return on investment of your entire additive manufacturing process.

Specifically, we will cover:
  • How manual and autonomous diagnosis of signatures enable a cumulative return on investment for a monitoring system
  • QA measurement and diagnostic standards that impact productivity and yield.
  • How the combination of monitoring, alerts and machine learning can provide continuous improvement in parts efficiency and overall manufacturing economics.
  • Examples of monitoring alerts and subsequent signatures using the PrintRite3D and Coaxial Sensor technology.
  • Analysis of PrintRite3D signatures from Fraunhofer IAPT.
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