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Prediction of surface roughness based on fused features and ISSA-DBN in milling of die steel P20
The roughness of the part surface is one of the most crucial standards for evaluating machining quality due to its relationship with service performance. For a preferable comprehension of the evolution of surface roughness, this study proposes a novel surface roughness prediction model on the basis...
Autores principales: | Guo, Miaoxian, Zhou, Jin, Li, Xing, Lin, Zhijian, Guo, Weicheng |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518346/ https://www.ncbi.nlm.nih.gov/pubmed/37743378 http://dx.doi.org/10.1038/s41598-023-42968-4 |
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