Chatter Detection in Robotic Milling Using Entropy Features [PDF]
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
doaj +2 more sources
Ensemble-Based Semi-Supervised Learning for Milling Chatter Detection [PDF]
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
doaj +2 more sources
In-Process Chatter Detection in Milling: Comparison of the Robustness of Selected Entropy Methods [PDF]
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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On-Line Energy-Based Milling Chatter Detection [PDF]
Milling exhibits forced vibrations at tooth passing frequency and its harmonics, as well as chatter vibrations close to one of the natural modes. In addition, there are sidebands, which are spread at the multiples of tooth passing frequency above and below the chatter frequency, and make the robust chatter detection difficult.
Caliskan, Hakan +2 more
openaire +3 more sources
Efficient Real-Time Tool Chatter Detection Through Bandpass Filtering [PDF]
Tool Chatter or Self-Excited Vibration is a common issue in machining processes. This phenomenon arises due to various factors, such as tool rigidity, depth of cut, spindle speed, etc., leading to poor surface finish, excessive tool wear, and premature ...
Javier Arenas +3 more
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Multisensory Chatter Detection in Band Sawing [PDF]
AbstractWith the development and application of expensive, difficult to cut metals and metal alloys, the minimization of waste material for final operations has, together with the quality of the band sawing process, become more and more important. As the onset of chatter can have a very detrimental effect on the quality of the cut, on the quality of ...
Potočnik, Primož +2 more
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Improving generalisation and accuracy of on-line milling chatter detection via a novel hybrid deep convolutional neural network [PDF]
Unstable chatter seriously reduces the quality of machined workpiece and machining efficiency. In order to improve productivity, on-line chatter detection has attracted much interest in the past decades.
Liao, Zhirong +13 more
core +2 more sources
Exploring the Potential of Transfer Learning for Chatter Detection
Chatter detection and avoidance are indispensable for many industries that rely on the machining process. The physics-based analytical models and recently successful machine learning methods can provide solutions using data from a unique setting. When the primary conditions of machining alter, new data needs to be collected, and analysis/training ...
Hakki Özgür Ünver, Batihan Sener
openaire +3 more sources
Automatic chatter detection in grinding [PDF]
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
openaire +1 more source
A Comparison of Wavelet Packet, Wavelet Leaders Multifractal, and p-Leader Multifractal Method in Chatter Detection [PDF]
An efficient stability analysis contributes to the improvement of machining stability and chatter suppression. First, this paper presents three chatter detection approaches that were developed on the application of wavelet transforms.
Wang, Y +4 more
core +1 more source

