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Intelligent pattern recognition of a SLM machine process and sensor data

: Uhlmann, E.; Pontes, R.P.; Laghmouchi, A.; Bergmann, A.

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Procedia CIRP 62 (2017), pp.464-469
ISSN: 2212-8271
International Conference on Intelligent Computation in Manufacturing Engineering (ICME) <10, 2016, Ischia>
Journal Article, Conference Paper, Electronic Publication
Fraunhofer IPK ()

Selective Laser Melting is an additive manufacturing process, in which the research has been increasing over the past few years to meet customer-specific requirements. Therefore, new manufacturing parameters have been monitored raising the number of sensors in the machines. Consequently, it leads to a bigger amount of data and difficulties to perform manual data analysis. In order to improve the analysis, this paper illustrates a possibility of pattern recognition using a different historical process and sensors data from a SLM machine. The results are evaluated using an intelligent tool for algorithms configuration and data analysis developed at Fraunhofer IPK.