Intelligent process monitoring and analysis for every spot, layer and component minimises risk and reduces quality assurance costs.
在法兰克福的首届Formnext展览会上，高端添加剂制造（AM）解决方案提供商EOS在3.1 Hall 3.1的架子F70上启动了一个新的流程监测和分析系统，称为Eostate Meltpool Monitoring。
An add-on to the EOS M 290 DMLS (direct metal laser sintering) system, the innovative tool paves the way for complete part traceability as well as automated surveillance and analysis of the melt pool during the DMLS build process for every spot, layer and part.
借助Eostate Meltpool，EOS通过添加高性能在线监视，扩大了其现有的AM监视解决方案的全面组合，从而确保了复杂构建过程的更大透明度。因此，该技术针对研发和制造客户的质量要求。
We developed this powerful, intelligent monitoring solution jointly with plasmo Industrietechnik GmbH, a global supplier of automated, high technology quality assurance systems. Our goal is to set a benchmark for high-end, in-process monitoring for AM.
With EOSTATE MeltPool Monitoring, we offer a powerful, expert tool to those who need to improve their quality assurance procedures during AM and who want to build up deep insights into the DMLS process to, for example, support further process development.
Tobias Abeln博士 - CTO，EOS
可靠的质量保证工具在增强对新技术的信任方面起着重要作用。基于AM的系列制造的客户的决定性因素是可重现的，最优质的零件，每零件的成本最低。
EOSTATE MeltPool Monitoring allows part quality assurance to be moved from post- to in-process, not only supporting better risk management, but also reducing time and costs for quality assurance and as a consequence overall cost per part.
EOSTATE MeltPool observes the light emitted by the melt pool. The key elements are a pair of photodiodes located on- and off-axis, a camera adapter, a specialised signal amplifier and spectral filters to separate process light from reflected laser light.
The associated software offers automatic data error correction and real-time process visualisation and evaluation. For data analysis, the EOSTATE MeltPool Analysis Toolbox visualises data in 2D or 3D mappings and enables the evaluation of indication clusters. The tool works based on three advanced algorithms to obtain different data interpretations.
从the collected data, conclusions for the resulting quality in the final part can be drawn. For this, customers define corresponding parameters (MPM Parameters) using the open and flexible EOSTATE MeltPool Analysis Toolbox and can set their thresholds according to their particular quality requirements. Live monitoring during the build process of a real part helps to automatically identify error indications based on these MPM parameters.