Artificial intelligence systems for tool condition monitoring in machining: Analysis and critical review

DY Pimenov, A Bustillo, S Wojciechowski… - Journal of Intelligent …, 2023 - Springer
The wear of cutting tools, cutting force determination, surface roughness variations and other
machining responses are of keen interest to latest researchers. The variations of these …

[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 …

Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach: A review of two decades of research

S Gawde, S Patil, S Kumar, P Kamat, K Kotecha… - … Applications of Artificial …, 2023 - Elsevier
Industry 4.0 is an era of smart manufacturing. Manufacturing is impossible without the use of
machinery. The majority of these machines comprise rotating components and are called …

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 …

Indirect monitoring of machining characteristics via advanced sensor systems: a critical review

ME Korkmaz, MK Gupta, Z Li, GM Krolczyk… - … International Journal of …, 2022 - Springer
On-line monitoring of the machining processes provides to detect the amount and type of
tool wear which is critical for the determination of remaining useful lifetime of cutting tool …

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 …

[HTML][HTML] Advance monitoring of hole machining operations via intelligent measurement systems: A critical review and future trends

R Binali, M Kuntoğlu, DY Pimenov, ÜA Usca, MK Gupta… - Measurement, 2022 - Elsevier
This review paper summarizes the application of smart manufacturing systems utilized in
drilling and hole machining processes. In this perspective, prominent sensors such as …

[HTML][HTML] Tool wear, surface roughness, cutting temperature and chips morphology evaluation of Al/TiN coated carbide cutting tools in milling of Cu–B–CrC based …

ÜA Usca, M Uzun, S Şap, M Kuntoğlu, K Giasin… - journal of materials …, 2022 - Elsevier
Ceramics-based composites are a special class of materials carrying combined properties
that belongs to alloys and metals according to market demands. This makes composites …

A state-of-the-art review on sensors and signal processing systems in mechanical machining processes

M Kuntoğlu, E Salur, MK Gupta, M Sarıkaya… - … International Journal of …, 2021 - Springer
Sensors are the main equipment of the data-based enterprises for diagnosis of the health of
system. Offering time-or frequency-dependent systemic information provides prognosis with …