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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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Automatic chatter detection in grinding [PDF]
International Journal of Machine Tools and Manufacture, 2003 Two methods for automatic chatter detection in outer diameter plunge feed grinding are proposed. The methods employ entropy and coarse-grained information rate (CIR) as indicators of chatter. Entropy is calculated from a power spectrum, while CIR is calculated directly from fluctuations of a recorded signal.
Janez Gradišek +4 more
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Topological feature vectors for chatter detection in turning processes [PDF]
The International Journal of Advanced Manufacturing Technology, 2022 Machining processes are most accurately described using complex dynamical systems that include nonlinearities, time delays, and stochastic effects. Due to the nature of these models as well as the practical challenges which include time-varying parameters, the transition from numerical/analytical modeling of machining to the analysis of real cutting ...
Melih C. Yesilli +2 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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Transfer learning for autonomous chatter detection in machining
Journal of Manufacturing Processes, 2022 Large-amplitude chatter vibrations are one of the most important phenomena in machining processes. It is often detrimental in cutting operations causing a poor surface finish and decreased tool life. Therefore, chatter detection using machine learning has been an active research area over the last decade.
Yesilli, Melih C. +2 more
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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
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The self-excitation damping ratio: A chatter criterion for time-domain milling simulations [PDF]
, 2004 Regenerative chatter is known to be a key factor that limits the productivity of high speed machining. Consequently, a great deal of research has focused on developing predictive models of milling dynamics, to aid engineers involved in both research and ...
Altintas +15 more
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Chatter detection algorithm based on machine vision [PDF]
The International Journal of Advanced Manufacturing Technology, 2011 Production of precise high-value mechanical elements requires a hundred percent on-site control. Chatter may occur due to random events. Although an unaided human eye can also easily identify the presence of chatter marks, it is economically ineffective. Therefore, an algorithm based on machine vision signals was proposed for surface inspection.
Szydłowski, Michał, Powałka, Bartosz
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On the stability of high-speed milling with spindle speed variation [PDF]
, 2010 Spindle speed variation is a well-known technique to suppress regenerative machine tool vibrations, but it is usually considered to be effective only for low spindle speeds.
BP Mann +43 more
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