Abstract In the “Industry 4.0” era, autonomous and self-adaptive industrial machining attracts significant attention in professional manufacturing. This trend originates from the rising …
During milling operations, wear of cutting tool is inevitable; therefore, tool condition monitoring is essential. One of the difficulties in detecting the state of milling tools is that they …
Among the diverse challenges in machining processes, chatter has a significant detrimental effect on surface quality and tool life, and it is a major limitation factor in achieving higher …
Milling is an extremely adaptable process that can be utilized to fabricate a wide range of shapes and intricate 3D geometries. The versatility of the milling process renders it useful for …
J Wang, Z Xiang, X Cheng, J Zhou, W Li - Sensors, 2023 - mdpi.com
Tool wear condition significantly influences equipment downtime and machining precision, necessitating the exploration of a more accurate tool wear state identification technique. In …
X Lai, K Zhang, Q Zheng, Z Li, G Ding, K Ding - Measurement, 2023 - Elsevier
Real-time and accurate monitoring of tool wear status is critical for optimizing product quality and production costs. Deep learning has received much attention as an emerging data …
L Bai, H Liu, J Zhang, W Zhao - Robotics and Computer-Integrated …, 2023 - Elsevier
Tool breakage occurs randomly during machining operations, which induces more severe impacts on the quality of components compared to progressive tool wear. It is widely …
Tool condition monitoring (TCM) systems have evolved into an essential requirement for contemporary manufacturing sectors of Industry 4.0. These systems employ sensors and …
L Bai, J Zhang, E Budak, Y Tang, W Zhao - Journal of Manufacturing …, 2024 - Elsevier
The demand for intelligent process monitoring is increasing in aerospace manufacturing to ensure tight tolerances and high surface quality. Real-time monitoring in machining is …