Verbesserungen beim Laserschneiden mit Methoden des maschinellen Lernens

Although laser cutting of metals is a well-established process, there is considerable potential for improvement with regard to various requirements for the manufacturing industry. First, this potential is identified and then it is shown how improvements could be made using machine learning. For this...

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Bibliografiska uppgifter

Huvudupphov:	Felica Tatzel, Leonie
Materialtyp:	Online
Språk:	tyska
Utgiven:	KIT Scientific Publishing 2022
Ämnen:	cut quality convolutional neural network machine learning stainless steel Laser cutting Schnittqualität Maschinelles Lernen Edelstahl Laserschneiden Faltendes neuronales Netz thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
Länkar:	ONIX_20220218_9783731511281_17
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