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Turkey-based pilot customer TUSAS Engine Industries (TEI) has revealed its learnings on the automated, intelligent and real-time process monitoring tool.
Towards the end of 2015, EOS introduced its EOSTATE MeltPool solution as an add-on to the EOS M 290 DMLS system. This innovative tool was desiggned to pave the way for complete part traceability as well as an automated surveillance and analysis of the melt pool during the DMLS build process – every spot, every layer, every part. With the tool EOS expands its existing comprehensive portfolio of monitoring solutions, ensuring even greater transparency of the complex build process.
After market introduction, EOS exposes its products to a subsequent testing phase with a handful of pilot customers. This phase has been recently completed. TEI has been one of the customers to support this. Lukas Fuchs, Application Development Consultant, MeltPool for Monitoring Solutions, at EOS states, “The decisive factor for customers on the road towards series manufacturing based on AM is reproducible top-quality parts at the lowest costs per part possible. The EOSTATE MeltPool Monitoring allows to move part quality assurance from post- to in-process, as such not only supporting a better risk management, but as well reducing time and costs for quality assurance and as a consequence overall costs per part.” And he continues, “It is a powerful expert tool to those who need to improve their quality assurance procedures for AM and who want to build up deep insights into the DMLS process to eg support further process development.”
Semih Pilatin, Technology Programs Manager at TEI, states, “We consider the EOSTATE Meltpool monitoring system as an initial step for online control and part quality inspection. As such, it was part of our initial technical specifications for the DMLS process and we felt privileged to be one of the first pilot customers to test it.” And he continues, “We are planning to use this tool for aerospace engine parts manufacturing where tight tolerances and high performance are expected. With this tool, we can capture potential part defects online at an early stage and with minimal effort to assess the part quality.”
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