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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), S.464-469
ISSN: 2212-8271
International Conference on Intelligent Computation in Manufacturing Engineering (ICME) <10, 2016, Ischia>
Zeitschriftenaufsatz, Konferenzbeitrag, Elektronische Publikation
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.