Enhancement of microstructure homogeneity and hardness after heat treatment of forged flex splines with CNN-based preform design
This study presents the application of a convolutional neural network (CNN)-based preform design aimed at improving the deformation homogeneity of flex splines, a crucial component in strain wave gears. Flex splines were forged using an existing preform and a CNN-designed preform, followed by isothe...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Journal of Materials Research and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2238785425019556 |
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