4 citations · 4 across the 4 of their papers we have counts for
4 papers
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…
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…
Mass Loss and Displacement Modeling for Multi-Axis Milling
Adrian Karl Rüppel, Patrick Ochudlo, Mathias Bickel +3
During the cutting process, material of the workpiece is continuously being removed by the cutting tool, which results in a reduction of mass as well as a displacement in the cente…
Evolving the Digital Industrial Infrastructure for Production: Steps Taken and the Road Ahead
Jan Pennekamp, Anastasiia Belova, Thomas Bergs +16
The Internet of Production (IoP) leverages concepts such as digital shadows, data lakes, and a World Wide Lab (WWL) to advance today's production. Consequently, it requires a techn…