Machine learning can improve the use of process capability data to predict tolerances in blanking and piercing manufacturing processes
Machine Learning (ML) models can be used during the design process to simplify and improve the accuracy of the prediction of manufacturing variation using existing process measurement data stored in a Process Capability DataBase (PCDB). Process Capability Data (PCD) relating to the blanking and pier...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Results in Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123023006503 |