A Novel Unsupervised Machine Learning-Based Method for Chatter Detection in the Milling of Thin-Walled Parts [PDF]
Sensors, 2021 Data-driven chatter detection techniques avoid complex physical modeling and provide the basis for industrial applications of cutting process monitoring.
Runqiong Wang +5 more
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Extraction and Assessment of Features Using Shannon Entropy and Rényi Entropy for Chatter Detection in Micro Milling [PDF]
MicromachinesChatter is a common phenomenon in micromachining processes that adversely affects machining quality, reduces tool life, and generates excessive noise that contributes to environmental pollution.
Zehui Zheng +5 more
doaj +2 more sources
Multi-modal denoised data-driven milling chatter detection using an optimized hybrid neural network architecture [PDF]
Scientific ReportsChatter, a type of self-excited vibration, deteriorates surface quality and reduces tool life and machining efficiency. Chatter detection serves as an effective approach to achieve stable cutting.
Haining Gao +9 more
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Multi-Sensory Tool Holder for Process Force Monitoring and Chatter Detection in Milling [PDF]
SensorsSensor-based monitoring of process and tool condition in milling is a key technology for improving productivity and workpiece quality, as well as enabling automation of machine tools.
Alexander Schuster +3 more
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GA-PE-VMD and MSE Methods for Milling Chatter Feature Extraction of Thin-walled Parts
Journal of Harbin University of Science and Technology, 2023 In the high-speed milling of aviation parts, due to the low stiffness of thin-walled structure, it is easy to produce chatter. Chatter leads to poor surface quality, dimensional error and reducing the service life of tools and machines.Therefore, a ...
WANG Hanbin +4 more
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Chatter Detection in Robotic Milling Using Entropy Features
Applied Sciences, 2022 Chatter detection in robotic milling is a difficult issue due to the complex dynamic behavior of robots. In this paper, a novel approach to detecting chatter in the robotic milling process is proposed.
Bin Yang, Kai Guo, Jie Sun
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In-Process Chatter Detection in Milling: Comparison of the Robustness of Selected Entropy Methods
Journal of Manufacturing and Materials Processing, 2022 This article deals with the issue of online chatter detection during milling. The aim is to achieve a verification of the reliability and robustness of selected methods for the detection of chatter that can be evaluated on the machine tool in real time ...
Barbora Hauptfleischová +4 more
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Ensemble-Based Semi-Supervised Learning for Milling Chatter Detection
Machines, 2022 Chatter is one of the most deleterious phenomena during the machining process, and leads to a low quality of workpiece surface, a noisy workplace, and decreases in tool and machine life.
Weichao Liu, Pengyu Wang, Youpeng You
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Optimization of Milling Processes: Chatter Detection via a Sensor-Integrated Vice
Machines, 2023 The future of the milling process is the fully autonomous operation of the machine tools. Developments in terms of automation and machine tool design are now enabling fully autonomous operation.
Panagiotis Stavropoulos +4 more
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In-Process Chatter Detection Using Signal Analysis in Frequency and Time-Frequency Domain
Machines, 2021 All machining processes involve vibrations generated by structural sources such as a machine’s moving parts or by the interaction between cutting tools and work-pieces.
Michele Perrelli +3 more
doaj +1 more source