Deep learning based automated quantification of powders used in additive manufacturing
This study proposes a novel deep learning technique for efficient powder morphology characterization, crucial for successful additive manufacturing. The method segments powder particles in microscopy images using Pix2Pix image translation model, enabling precise quantification of size distribution a...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
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| Series: | Additive Manufacturing Letters |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772369024000495 |
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