The concept and progress of intelligent spindles: a review

H Cao, X Zhang, X Chen - International Journal of Machine Tools and …, 2017 - Elsevier
Intelligent spindles are core components of the next-generation of intelligent/smart machine
tools in the Industry 4.0 Era. The purpose of this paper is to clarify the concept of intelligent …

[HTML][HTML] Neuro-fuzzy systems in construction engineering and management research

GG Tiruneh, AR Fayek, V Sumati - Automation in construction, 2020 - Elsevier
Neuro-fuzzy systems (NFS) can explicitly represent and model the input–output
relationships of complex problems and non-linear systems, like those inherent in real-world …

Prediction of milled surface characteristics of carbon fiber-reinforced polyetheretherketone using an optimized machine learning model by gazelle optimizer

W Rajhi, AMM Ibrahim, AHI Mourad, M Boujelbene… - Measurement, 2023 - Elsevier
Motivated by the nonlinear behavior of composite materials under different machining
operations, this work aims at developing an optimized artificial intelligence model to predict …

A review on factors affecting machinability and properties of fiber-reinforced polymer composites

IM Alarifi - Journal of Natural Fibers, 2023 - Taylor & Francis
The natural, glass, and carbon fiber reinforced polymer composites are currently being
replaced conventional materials due to their lower specific weight and superior strength …

Tool wear prediction in milling CFRP with different fiber orientations based on multi-channel 1DCNN-LSTM

B Li, Z Lu, X Jin, L Zhao - Journal of Intelligent Manufacturing, 2024 - Springer
In the machining of carbon fiber reinforced polymer (CFRP) components, tool wear grows
rapidly due to the highly abrasive property of carbon fibers, resulting in unfavorable part …

[HTML][HTML] Effects of fiber orientation on tool wear evolution and wear mechanism when cutting carbon fiber reinforced plastics

WU Weizhou, LI Shipeng, QIN Xuda… - Chinese Journal of …, 2023 - Elsevier
The aim of the present paper is to reveal the influence of different fiber orientations on the
tool wear evolution and wear mechanism. Side-milling experiments with large-diameter …

Tool wear prediction in edge trimming of carbon fiber reinforced polymer using machine learning with instantaneous parameters

F Jin, Y Bao, B Li, X Jin - Journal of Manufacturing Processes, 2022 - Elsevier
Rapid tool wear occurs during the edge trimming of CFRP components due to the high
strength and abrasive nature of the carbon fibers, leading to potential surface damage and …

Monitoring of tool wear using measured machining forces and neuro-fuzzy modelling approaches during machining of GFRP composites

AI Azmi - Advances in Engineering Software, 2015 - Elsevier
The challenges of machining, particularly milling, glass fibre-reinforced polymer (GFRP)
composites are their abrasiveness (which lead to excessive tool wear) and susceptible to …

A review on the applications of neuro-fuzzy systems in business

S Rajab, V Sharma - Artificial Intelligence Review, 2018 - Springer
This paper presents a review of the application of neuro-fuzzy systems (NFS) in business on
the basis of the research articles issued in various reputed international journals and …

An analytical approach on stochastic model for cutting force prediction in milling ceramic matrix composites

X Zhang, T Yu, J Zhao - International Journal of Mechanical Sciences, 2020 - Elsevier
Fiber-reinforced ceramic matrix composites are increasingly applied in the aerospace,
energy and electronic industries. Nevertheless, the milling process of ceramic matrix …