| Autor: |
Anosov, M.S., Klochkova, N.S., Laptev, I.L., Kochin, A.N. |
| Rok vydání: |
2019 |
| DOI: |
10.26160/2309-8864-2019-7-140-144 |
| Popis: |
The article considers the influence of various factors on the surface roughness during turning. It is quite difficult to take into account all the factors affecting the roughness of the treated surface. However, taking into account the most important (cutting conditions, geometry of the cutting tool, etc.) allows obtaining fairly reliable data on the predicted surface roughness. One of the most promising tools for establishing the relationship of a large number of different parameters are artificial neural networks. Based on the analysis carried out in the work, a neural network architecture is proposed for predicting roughness parameters during turning. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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