3 papers
cs.CV2024
Efficient Cutting Tool Wear Segmentation Based on Segment Anything Model
Zongshuo Li, Ding Huo, Markus Meurer +1
Tool wear conditions impact the surface quality of the workpiece and its final geometric precision. In this research, we propose an efficient tool wear segmentation approach based…
cs.LG2024
Deep Learning Approach for Enhanced Transferability and Learning Capacity in Tool Wear Estimation
Zongshuo Li, Markus Meurer, Thomas Bergs
As an integral part of contemporary manufacturing, monitoring systems obtain valuable information during machining to oversee the condition of both the process and the machine. Rec…
cs.LG2024
Deep Learning Based Tool Wear Estimation Considering Cutting Conditions
Zongshuo Li, Markus Meurer, Thomas Bergs
Tool wear conditions impact the final quality of the workpiece. In this study, we propose a deep learning approach based on a convolutional neural network that incorporates cutting…