Recent advances on machine learning applications in machining processes
F Aggogeri, N Pellegrini, FL Tagliani - Applied sciences, 2021 - mdpi.com
This study aims to present an overall review of the recent research status regarding Machine
Learning (ML) applications in machining processes. In the current industrial systems …
Learning (ML) applications in machining processes. In the current industrial systems …
[HTML][HTML] AI-based optimisation of total machining performance: A review
K Ullrich, M von Elling, K Gutzeit, M Dix… - CIRP Journal of …, 2024 - Elsevier
Advanced modelling and optimisation techniques have been widely used in recent years to
enable intelligent manufacturing and digitalisation of manufacturing processes. In this …
enable intelligent manufacturing and digitalisation of manufacturing processes. In this …
Transfer learning enabled convolutional neural networks for estimating health state of cutting tools
Abstract Effective Prognostics and Health Management (PHM) for cutting tools during
Computerized Numerical Control (CNC) processes can significantly reduce downtime and …
Computerized Numerical Control (CNC) processes can significantly reduce downtime and …
Cutting tool prognostics enabled by hybrid CNN-LSTM with transfer learning
An effective strategy to predict the remaining useful life (RUL) of a cutting tool could
maximise tool utilisation, optimise machining cost, and improve machining quality. In this …
maximise tool utilisation, optimise machining cost, and improve machining quality. In this …
Deep spatial-temporal feature extraction and lightweight feature fusion for tool condition monitoring
Y Li, X Wang, Y He, Y Wang, Y Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Tool condition monitoring (TCM) is vital to maintain the quality of workpieces during
machining. Recently, data-driven methods based on multisensory data have been applied to …
machining. Recently, data-driven methods based on multisensory data have been applied to …
Classification of tool wear state based on dual attention mechanism network
J Zhou, C Yue, X Liu, W **a, X Wei, J Qu… - Robotics and Computer …, 2023 - Elsevier
To assure the quality of product processing, precise abrasion detections must be performed
on the machine's cutting tools. Consequently, the improvement of abrasion detection is …
on the machine's cutting tools. Consequently, the improvement of abrasion detection is …
A multi-model data-fusion based deep transfer learning for improved remaining useful life estimation for IIOT based systems
Remaining useful life (RUL) estimation, a key component in predictive maintenance (PdM),
aims to reduce maintenance cycles in the prognostic health of mechanical equipment (s) …
aims to reduce maintenance cycles in the prognostic health of mechanical equipment (s) …
Distance-based multivariate anomaly detection in wire arc additive manufacturing
Wire Arc Additive Manufacturing (WAAM) offers the possibility to build up large-scale metal
parts. Data which is obtained from a multivariate sensor system in-situ must be analyzed …
parts. Data which is obtained from a multivariate sensor system in-situ must be analyzed …
Integrating intelligent machine vision techniques to advance precision manufacturing: a comprehensive survey in the context of mechatronics and beyond
Measuring machining parameters is essential for influencing the quality and precision of the
finished product in the manufacturing and machining industries. Machine vision systems …
finished product in the manufacturing and machining industries. Machine vision systems …
Deep learning and rule-based image processing pipeline for automated metal cutting tool wear detection and measurement
Tool wear causes costs and quality problems in metal cutting manufacturing processes. This
paper contains an approach of digitalization and big data analytical methods to quantify the …
paper contains an approach of digitalization and big data analytical methods to quantify the …