Intrinsic feature extraction using discriminant diffusion mapping analysis for automated tool wear evaluation

2018 ◽  
Vol 19 (11) ◽  
pp. 1352-1361 ◽  
Author(s):  
Yi-xiang Huang ◽  
Xiao Liu ◽  
Cheng-liang Liu ◽  
Yan-ming Li
Keyword(s):  
Feature Extraction ◽  
Tool Wear ◽  
Mapping Analysis ◽  
Wear Evaluation ◽  
Automated Tool ◽  
Intrinsic Feature

scholarly journals Feature extraction-based prediction of tool wear of Inconel 718 in face turning

2018 ◽  
Vol 60 (8) ◽  
pp. 443-450 ◽  
Author(s):  
M Murua ◽  
A Suárez ◽  
L N López de Lacalle ◽  
R Santana ◽  
A Wretland
Keyword(s):  
Feature Extraction ◽  
Tool Wear ◽  
Inconel 718

Tool wear evaluation on rubberized fly ash geopolymer milling

2019 ◽  
Author(s):  
Tan Chun Yu ◽  
M. Fathullah ◽  
M. M. A. Abdullah ◽  
Z. Shayfull ◽  
Faheem Tahir
Keyword(s):  
Fly Ash ◽  
Tool Wear ◽  
Wear Evaluation

scholarly journals Tool wear evaluation in drilling by acoustic emission

2010 ◽  
Vol 3 (1) ◽  
pp. 819-825 ◽  
Author(s):  
Martín P. Gómez ◽  
Alfredo M. Hey ◽  
José E. Ruzzante ◽  
Carlos E. D’Attellis
Keyword(s):  
Acoustic Emission ◽  
Tool Wear ◽  
Wear Evaluation

Study of the Radiometric Method and Use of the Liquid Scintillation Technique for Tool-Wear Determination

1965 ◽  
Vol 87 (1) ◽  
pp. 47-52 ◽  
Author(s):  
G. F. Wilson ◽  
W. Dennis McHenry
Keyword(s):  
Tool Wear ◽  
Liquid Scintillation ◽  
Radioactive Tracer ◽  
Radiometric Method ◽  
Primary Methods ◽  
Tracer Techniques ◽  
Wear Evaluation ◽  
Measuring Tool

A radiometric method of tool-wear evaluation was investigated and evaluated by comparing the results with those obtained from visual wear measurements. A liquid scintillation technique is presented for accurately determining tool wear for cutting limes as low as 0.003 min. It is recommended that the radioactive tracer techniques of measuring tool wear be used as supplemental methods in conjunction with visual wear determination procedures rather than primary methods of evaluating machining variables.

scholarly journals Tool Wear Evaluation of Selected Inserts after Turning by Electron Microscopy

2016 ◽  
Vol 16 (5) ◽  
pp. 1068-1073
Author(s):  
Nataša Náprstková ◽  
Jaromír Cais ◽  
Pavel Kraus ◽  
Tuong Nguyen Van
Keyword(s):  
Electron Microscopy ◽  
Tool Wear ◽  
Wear Evaluation

scholarly journals Tool wear evaluation based on vibration analysis during milling of MMC using diamond coated end mills

Mechanik ◽  
2020 ◽  
Vol 93 (1) ◽  
pp. 35-37
Author(s):  
Martyna Wiciak-Pikuła ◽  
Paweł Twardowski ◽  
Agata Felusiak ◽  
Szymon Orłowski
Keyword(s):  
Tool Wear ◽  
Vibration Analysis ◽  
Mechanical Vibration ◽  
The State ◽  
End Mills ◽  
Wear Evaluation ◽  
Cutting Speeds

The aim of the research was to analyze the wear of the end mills based on the measurement of mechanical vibration accelerations. The VBB index was used as the tool wear criterion, which was measured until a specific maximum wear was obtained. The paper compares the tool wear values at different cutting speeds and determines the possibility of predicting the state of the tool wear based on the measurements of mechanical vibration accelerations.

Research on the Physical Mechanism of Motor Imagery

2011 ◽  
Vol 66-68 ◽  
pp. 279-283
Author(s):  
Zhen Dong Mu ◽  
Jin Li Wang
Keyword(s):  
Feature Extraction ◽  
Motor Imagery ◽  
Time Domain ◽  
Brain Mapping ◽  
Physical Mechanism ◽  
Eeg Analysis ◽  
Imaginary Frequency ◽  
Eeg Signals ◽  
Mapping Analysis ◽  
Left And Right

The motor imagery to be widely used in BCI systems, the traditional focus on EEG analysis in feature extraction and classification, this paper of EEG from the left and right imaginary frequency domain, time domain and brain mapping analysis on the EEG, to analyze the characteristics of EEG signals about imagination.

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