Abstract 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 of the unity of fuse d signal features and deep learning architecture. The for... https://www.goodvibesbadhabiters.shop/product-category/dual-penetration-strapon/
Prediction of surface roughness based on fused features and ISSA-DBN in milling of die steel P20
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