Machine learning cutting force, surface roughness, and tool life in high speed turning processes
Machine learning approaches can serve as powerful tools in machining optimization processes. Model performance, including accuracy, stability, and robustness, are major criteria to choose among different methods. Besides, the applicability, ease of implementations, and cost-effectiveness should be c...
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Published in | Manufacturing letters Vol. 29; pp. 84 - 89 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.08.2021
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Subjects | |
Online Access | Get full text |
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