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 …

A review of indirect tool condition monitoring systems and decision-making methods in turning: Critical analysis and trends

M Kuntoğlu, A Aslan, DY Pimenov, ÜA Usca, E Salur… - Sensors, 2020 - mdpi.com
The complex structure of turning aggravates obtaining the desired results in terms of tool
wear and surface roughness. The existence of high temperature and pressure make difficult …

Deep transfer learning based on sparse autoencoder for remaining useful life prediction of tool in manufacturing

C Sun, M Ma, Z Zhao, S Tian, R Yan… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Deep learning with ability to feature learning and nonlinear function approximation has
shown its effectiveness for machine fault prediction. While, how to transfer a deep network …

The effect of addition of hBN nanoparticles to nanofluid-MQL on tool wear patterns, tool life, roughness and temperature in turning of Ni-based Inconel 625

ÇV Yıldırım, M Sarıkaya, T Kıvak, Ş Şirin - Tribology International, 2019 - Elsevier
Nickel-based Inconel 625 is employed in critical applications because of its excellent
properties. But the machinability of this material is very poor. In recent years, the use of …

Advances in artificial intelligence for image processing: techniques, applications, and optimization

S Boopathi, BK Pandey, D Pandey - Handbook of research on thrust …, 2023 - igi-global.com
AI has had a substantial influence on image processing, allowing cutting-edge methods and
uses. The foundations of image processing are covered in this chapter, along with …

Automatic detection and classification of steel surface defect using deep convolutional neural networks

S Wang, X Xia, L Ye, B Yang - Metals, 2021 - mdpi.com
Automatic detection of steel surface defects is very important for product quality control in the
steel industry. However, the traditional method cannot be well applied in the production line …

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 …

Artificial intelligence for automatic prediction of required surface roughness by monitoring wear on face mill teeth

DY Pimenov, A Bustillo, T Mikolajczyk - Journal of Intelligent …, 2018 - Springer
Nowadays, face milling is one of the most widely used machining processes for the
generation of flat surfaces. Following international standards, the quality of a machined …

A review on lubricant condition monitoring information analysis for maintenance decision support

JM Wakiru, L Pintelon, PN Muchiri… - Mechanical systems and …, 2019 - Elsevier
Lubrication Condition monitoring (LCM) is not only utilized as an early warning system in
machinery but also, for fault diagnosis and prognosis under condition-based maintenance …

Automatic identification of tool wear based on convolutional neural network in face milling process

X Wu, Y Liu, X Zhou, A Mou - Sensors, 2019 - mdpi.com
Monitoring of tool wear in machining process has found its importance to predict tool life,
reduce equipment downtime, and tool costs. Traditional visual methods require expert …