[HTML][HTML] Application of measurement systems in tool condition monitoring of Milling: A review of measurement science approach

DY Pimenov, MK Gupta, LRR da Silva, M Kiran… - Measurement, 2022 - Elsevier
Milling is a high-performance method that allows an efficient machining of both flat and
complexly shaped surfaces. During the milling process, the cutting tool (cutters), its cutting …

Machine learning and IoT-based approach for tool condition monitoring: A review and future prospects

MQ Tran, HP Doan, VQ Vu, LT Vu - Measurement, 2023 - Elsevier
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 …

Tool wear prediction in face milling of stainless steel using singular generative adversarial network and LSTM deep learning models

M Shah, V Vakharia, R Chaudhari, J Vora… - … International Journal of …, 2022 - Springer
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 …

Chatter detection in milling processes—a review on signal processing and condition classification

JH Navarro-Devia, Y Chen, DV Dao, H Li - The International Journal of …, 2023 - Springer
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 …

Review of advances in tool condition monitoring techniques in the milling process

T Mohanraj, ES Kirubakaran… - Measurement …, 2024 - iopscience.iop.org
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 …

Tool wear state identification based on SVM optimized by the improved northern goshawk optimization

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 …

A frequency-spatial hybrid attention mechanism improved tool wear state recognition method guided by structure and process parameters

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 …

Real-time tool breakage monitoring based on dimensionless indicators under time-varying cutting conditions

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 …

[HTML][HTML] Machine-learning-and Internet-of-Things-driven techniques for monitoring tool wear in machining process: a comprehensive review

S Kasiviswanathan, S Gnanasekaran… - Journal of Sensor and …, 2024 - mdpi.com
Tool condition monitoring (TCM) systems have evolved into an essential requirement for
contemporary manufacturing sectors of Industry 4.0. These systems employ sensors and …

Vibration energy-based indicators for multi-target condition monitoring in milling operations

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 …