Tool condition monitoring for high-performance machining systems—A review

A Mohamed, M Hassan, R M'Saoubi, H Attia - Sensors, 2022 - mdpi.com
In the era of the “Industry 4.0” revolution, self-adjusting and unmanned machining systems
have gained considerable interest in high-value manufacturing industries to cope with the …

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 identification and prediction method based on stack sparse self-coding network

Y Qin, X Liu, C Yue, M Zhao, X Wei, L Wang - Journal of Manufacturing …, 2023 - Elsevier
In the process of metal cutting, the effective monitoring of tool wear is of great significance to
ensure the machining quality of parts. Aiming at the problem of tool wear monitoring, a tool …

Tool wear condition monitoring in milling process based on current sensors

Y Zhou, W Sun - IEEE Access, 2020 - ieeexplore.ieee.org
Accurate tool condition monitoring (TCM) is essential for the development of fully automated
milling processes. This is typically accomplished using indirect TCM methods that …

Tool wear condition monitoring by combining variational mode decomposition and ensemble learning

J Yuan, L Liu, Z Yang, Y Zhang - Sensors, 2020 - mdpi.com
Most online tool condition monitoring (TCM) methods easily cause machining interference.
To solve this problem, we propose a method based on the analysis of the spindle motor …

Online analytics framework of sensor-driven prognosis and opportunistic maintenance for mass customization

T Xia, X Fang, N Gebraeel, L Xi… - Journal of …, 2019 - asmedigitalcollection.asme.org
In mass customization, a manufacturing line is required to be kept in reliable operation to
handle product demand volatility and potential machine degradations. Recent advances in …

A hybrid model for turning force based on shear and extrusion deformation considering cutting-edge radius

P Li, Z Chang - Journal of Manufacturing Processes, 2022 - Elsevier
Turning is a machining process widely used in many industries, such as aviation,
aerospace, and optics. The existing turning force model considers the shear deformation …

Integration of artificial intelligence in an injection molding process for on-line process parameter adjustment

M Charest, R Finn, R Dubay - 2018 Annual IEEE International …, 2018 - ieeexplore.ieee.org
Significant growth in the application of Artificial Intelligence (AI) due to the introduction of the
Industrial Internet of things (IIoT) and cloud computing is leading to the practical presence of …

[HTML][HTML] Improvement of tool utilization when hard turning with cBN tools at varying process parameters

O Gutnichenko, M Nilsson, R Lindvall, V Bushlya… - Wear, 2021 - Elsevier
Hard turning of helical gear hubs produced from low-carbon alloyed steel with a bulk
hardness of HRC 35, and case hardened up to HRC 60–63 with PCBN tools was …

A study of tool tipping monitoring for titanium milling based on cutting vibration

W Mou, Z Jiang, S Zhu - The International Journal of Advanced …, 2019 - Springer
In titanium milling machining, tool condition monitoring (TCM) is very important owing to the
short tool life and expensive cost. And the TCM is the key technology for automated …