Smart Adjustment of Deep Drawing Process Parameters | 
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Bildgebende Sensorik und maschinelles Lernen für robustere Blechumformprozesse im Automobilbau
| Journal | Industrie 4.0 Management |
| Issue | Volume 34, 2018, Edition 4, Pages 53-56 |
| Share | Cite | Download |
Abstract
A complex process in sheet metal processing is multi stage deep drawing. Once set up, it can be considered as a black box. Usually, after the sheet metal has been processes the quality is assessed. In the research project Smart Press a system is developed, incorporating inline pictures of the processed sheet metal. Pictures of failures are related to the actual state of the machine. Neural Networks are used to model the highly complex relations between parameters and product attributes. Based on the assessed real time data, the process gets adjusted to suit the needs of each individual sheet.
Keywords
deep drawing, image processing, Künstliche neuronale Netze, Künstliche neuronale Netze, machine learning, neural networks
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