A critical review on applications of artificial intelligence in manufacturing

O Mypati, A Mukherjee, D Mishra, SK Pal… - Artificial Intelligence …, 2023 - Springer
The fourth industrial revolution, Industry 4.0, has brought internet, artificial intelligence (AI),
and machine learning (ML) concepts into manufacturing. There is an immediate need to …

Data-driven smart manufacturing: Tool wear monitoring with audio signals and machine learning

Z Li, R Liu, D Wu - Journal of Manufacturing Processes, 2019 - Elsevier
Tool wear in machining could result in poor surface finish, excessive vibration and energy
consumption. Monitoring tool wear in real-time is crucial to improve manufacturing …

Research progress of noise in high-speed cutting machining

W Wei, Y Shang, Y Peng, R Cong - Sensors, 2022 - mdpi.com
High-speed cutting technology has become a development trend in the material processing
industry. However, high-intensity noise generated during high-speed cutting exerts a …

Ball-end tool wear monitoring and multi-step forecasting with multi-modal information under variable cutting conditions

Y Hao, L Zhu, J Wang, X Shu, J Yong, Z Xie… - Journal of Manufacturing …, 2024 - Elsevier
Tool condition recognition is considered an indispensable solution with significant
advantages in improving production cost and quality in intelligent manufacturing. However …

On-line quality control and tool wear evaluation in trimming process by data analytics techniques

E Garcia-Llamas, JMG Castro… - IOP Conference …, 2023 - iopscience.iop.org
Sheet metal is an extremely common form of use in broad engineering sectors and
represents the main consumption of steel and aluminum in Europe. All production processes …

Perspectives on data-driven models and its potentials in metal forming and blanking technologies

M Liewald, T Bergs, P Groche, BA Behrens… - Production …, 2022 - Springer
Today, design and operation of manufacturing processes heavily rely on the use of models,
some analytical, empirical or numerical ie finite element simulations. Models do reflect …

Online monitoring and multi-objective optimisation of technological parameters in high-speed milling process

DH Tien, QT Duc, TN Van, NT Nguyen… - … International Journal of …, 2021 - Springer
Online monitoring and optimisation of technological parameters are very effective methods
of improving productivity and machining surface quality, especially in high-speed milling …

Investigating galling wear behaviour in sheet metal stamping using acoustic emissions

VV Shanbhag, BF Rolfe, N Arunachalam, MP Pereira - Wear, 2018 - Elsevier
Galling wear in sheet metal stamping processes can degrade the product quality and
adversely affect the mass production. Studies have shown that acoustic emissions sensors …

Approaches for preventing tool wear in sheet metal forming processes

T Trzepieciński - Machines, 2023 - mdpi.com
Sheet metal forming processes, the purpose of which is to give the shaped material
appropriate mechanical, dimensional and shape properties, are characterised by different …

An industrially viable wavelet long-short term memory-deep multilayer perceptron-based approach to tool condition monitoring considering operational variability

MU Gudelek, G Serin, AM Ozbayoglu… - Proceedings of the …, 2023 - journals.sagepub.com
Tool wear is a fundamental aspect of the machining process. Therefore, tool condition
monitoring is of paramount importance to ensure part quality and avoid catastrophic …