| Autor: |
Shatagin, Dmitrii A., Anosov, Maksim S., Galkin, Andrei, Klochkova, Natalia |
| Zdroj: |
Materials Science Forum; February 2022, Vol. 1052 Issue: 1 p414-419, 6p |
| Abstrakt: |
The article proposes a method for choosing the optimal modes of 3D printing by electric arc surfacing on CNC machines using a digital twin of the process. As a digital twin, a neural network model is used that approximates the dependence of the stability of the surfacing process and the geometric parameters of the printed layer on the surfacing modes: voltage, current and minute feed. The possibility of optimizing 3D printing modes using neural network modeling based on a modified backpropagation method is shown. |
| Databáze: |
Supplemental Index |
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