A state-of-the-art review on chatter stability in machining thin− walled parts
Y Sun, M Zheng, S Jiang, D Zhan, R Wang - Machines, 2023 - mdpi.com
Thin− walled parts are widely used in many important fields because of performance and
structural lightweight requirements. They are critical parts because they usually carry the …
structural lightweight requirements. They are critical parts because they usually carry the …
Intelligent learning model-based skill learning and strategy optimization in robot grinding and polishing
C Chen, Y Wang, ZT Gao, FY Peng, XW Tang… - Science China …, 2022 - Springer
With the rapid advancement of manufacturing in China, robot machining technology has
become a popular research subject. An increasing number of robots are currently being …
become a popular research subject. An increasing number of robots are currently being …
A weighted adaptive transfer learning for tool tip dynamics prediction of different machine tools
In the batch machining of manufacturing enterprises, there are always different machine
tools of the same type used. Due to the influence of the uncertain degree of deterioration …
tools of the same type used. Due to the influence of the uncertain degree of deterioration …
A hybrid driven approach to integrate surrogate model and Bayesian framework for the prediction of machining errors of thin-walled parts
H Sun, F Peng, L Zhou, R Yan, S Zhao - International Journal of …, 2021 - Elsevier
Thin-walled structural parts are widely used in aerospace industry, the prediction of
machining errors of these parts has attracted more and more attention over the past …
machining errors of these parts has attracted more and more attention over the past …
Multi-fidelity modeling and neural network supported prediction of position and tool overhang length-dependent milling stability with limited labeled data
C Deng, Y Dong, J Miao, F Tan - Computers & Industrial Engineering, 2024 - Elsevier
Milling chatter negatively impacts surface quality and production efficiency. The stability lobe
diagram (SLD) offering chatter-free machining parameters is highly dependent on the tool tip …
diagram (SLD) offering chatter-free machining parameters is highly dependent on the tool tip …
Robot-process precision modelling for the improvement of productivity in flexible manufacturing cells
E Ferreras-Higuero, E Leal-Muñoz, JG de Jalón… - Robotics and Computer …, 2020 - Elsevier
Industrial robots are traditionally used at machining cells for machine feeding and workpiece
handling. A reassignment of tasks to improve the productivity requires a modelling of the …
handling. A reassignment of tasks to improve the productivity requires a modelling of the …
Operational adjustment modeling approach based on Bayesian network transfer learning for new flotation process under scarce data
H Yan, S Song, F Wang, D He, J Zhao - Journal of Process Control, 2023 - Elsevier
Establishing an intelligent operational adjustment model is significant for optimizing flotation
performance and realizing the stable control of the flotation process. When sufficient …
performance and realizing the stable control of the flotation process. When sufficient …
Experimental modal transferring of industrial robot with data augmentation through domain adaptation and transfer boosting
Pose-dependent modal properties of the robotic milling system determine the milling
stability, which significantly affects the machining accuracy and surface quality. Experimental …
stability, which significantly affects the machining accuracy and surface quality. Experimental …
Efficient stability prediction of milling process with arbitrary tool-holder combinations based on transfer learning
C Deng, J Tang, J Miao, Y Zhao, X Chen… - Journal of Intelligent …, 2023 - Springer
Chatter occurring in the milling process can seriously deteriorate the machining efficiency
and surface quality. The stability diagram predicted using the tool tip frequency response …
and surface quality. The stability diagram predicted using the tool tip frequency response …
[HTML][HTML] A physics-informed learning approach for milling stability analysis with deep subdomain adaptation network
D Zhao, X **, S Wan, J Hong - Mechanical Systems and Signal Processing, 2025 - Elsevier
Efficient and accurate chatter prediction is critical for selection of chatter-free process
parameters to improve machining productivity and surface quality of the workpiece …
parameters to improve machining productivity and surface quality of the workpiece …