Precision glass thermoforming assisted by neural networks
Many glass products require thermoformed geometry with high precision. However, the traditional approach of developing a thermoforming process through trials and errors can cause a large waste of time and resources and often fails to produce successful outcomes. Hence, there is a need to develop an...
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| Glavni autori: | , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Elsevier
2025-09-01
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| Serija: | Machine Learning with Applications |
| Teme: | |
| Online pristup: | http://www.sciencedirect.com/science/article/pii/S2666827025000842 |
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