Roughness Prediction in the End Milling of Additively Manufactured Maraging Steel with Machine Learning
Author:
Affiliation:
1. Federal University of ABC,Engineering, Modeling and Applied Social Sciences Center,Santo André,Brazil
Funder
São Paulo Research Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10374478/10374482/10374690.pdf?arnumber=10374690
Reference24 articles.
1. Industry 4.0 as a data-driven paradigm: a systematic literature review on technologies
2. Towards criteria for sustainable process selection: On the modelling of pure subtractive versus additive/subtractive integrated manufacturing approaches
3. Additive manufacturing: expanding 3D printing horizon in industry 4.0
4. A survey of machine learning in additive manufacturing technologies
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