Intelligent pattern recognition of SLM machine energy data

• Autorzy: Uhlmann E. , Pastl Pontes R. , Laghmouchi A. , Hohwieler E. , Feitscher R.
• Języki publikacji: EN

Abstrakty

EN

Selective Laser Melting (SLM) is an additive manufacturing process, in which the research has been increasing over the past few years to meet customer-specific requirements. Different parameters from the process and the machine components have been monitored in order to obtain vital information such as productivity of the machine and quality of the manufactured workpiece. The monitoring of parameters related to energy is also realized, but the utilisation of such data is usually performed for determining basic information, for instance, from energy consumption. By applying machine learning algorithms on these data, it is possible to identify not only the steps of the manufacturing process, but also its behaviour patterns. Along with these algorithms, evidences regarding the conditions of components and anomalies can be detected in the acquired data. The results can be used to point out the process errors and component faults and can be adopted to analyse the energy efficiency of the SLM process by comparing energy consumption of one single layer during the manufacturing of different components. Moreover, the state of the manufacturing process and the machine can be determined automatically and applied to predict failures in order to launch appropriate counter measures.

Słowa kluczowe

EN

pattern recognition; data analysis; additive manufacturing; energy data

• Wydawca: Wydawnictwo Wrocławskiej Rady FSNT NOT
• Czasopismo: Journal of Machine Engineering
• Rocznik: 2017
• Tom: Vol. 17, No. 2
• Strony: 65--76
• Opis fizyczny: Bibliogr. 24 poz., rys., tab.

Twórcy

autor

Uhlmann E.

• Fraunhofer Institute for Production Systems and Design Technology (IPK), Germany
• Technische Universität Berlin – Institute for Machine Tools and Factory Management (IWF), Germany

autor

Pastl Pontes R.

• Fraunhofer Institute for Production Systems and Design Technology (IPK), Germany

autor

Laghmouchi A.

• Fraunhofer Institute for Production Systems and Design Technology (IPK), Germany

autor

Hohwieler E.

• Fraunhofer Institute for Production Systems and Design Technology (IPK), Germany

autor

Feitscher R.

• Fraunhofer Institute for Production Systems and Design Technology (IPK), Germany

Bibliografia

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Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).