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Keywords: Fourier transforms
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Journal Articles

Directionally Independent Failure Prediction of End-Milling Tools by Tracking Increasing Chaotic Noise at the Machining Frequencies Due to Wear

Christopher A. Suprock, John T. Roth
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. June 2008, 130(3): 031006.
https://doi.org/10.1115/1.2844589
Published Online: May 6, 2008
... herein explores the development of nontraditional real fast Fourier transform (discrete cosine transform) based algorithms performed in unique higher-dimensional states of observed data sets. Moreover, the developed Fourier algorithm quantifies chaotic noise rather than relying on the more traditional...
View Articletitled, Directionally Independent Failure Prediction of End-Milling Tools by Tracking Increasing Chaotic Noise at the Machining Frequencies Due to Wear
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Topics: Algorithms, Failure, Machining, Milling, Noise (Sound), Wear
Journal Articles

A Three-Dimensional Model for the Surface Texture in Surface Grinding, Part 2: Grinding Wheel Surface Texture Model

Erik J. Salisbury, K. Vinod Domala, Kee S. Moon, Michele H. Miller, John W. Sutherland
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Technical Papers
J. Manuf. Sci. Eng. November 2001, 123(4): 582–590.
https://doi.org/10.1115/1.1391428
Published Online: February 1, 2001
... for publication in the JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING . Manuscript received Aug. 1998; revised Feb. 2001. Associate Editor: S. Kapoor. grinding surface texture surface topography cutting Fourier transforms rough surfaces Grinding is a widely used machining operation...
View Articletitled, A Three-Dimensional Model for the Surface Texture in Surface Grinding, Part 2: Grinding Wheel Surface Texture Model
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Topics: Grinding, Grinding wheels, Simulation, Surface texture, Wheels, Surface roughness
Journal Articles

Flank Wear Estimation in Turning Through Wavelet Representation of Acoustic Emission Signals

S. V. Kamarthi, Assistant Professor,, S. R. T. Kumara, Professor, P. H. Cohen, Professor
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Technical Papers
J. Manuf. Sci. Eng. February 2000, 122(1): 12–19.
https://doi.org/10.1115/1.538886
Published Online: October 1, 1997
... is sensitive to gradually increasing flank wear. In previous methods, the power spectral density of AE signals is computed from Fourier transform based techniques. To overcome some of the limitations associated with the Fourier representation of AE signals for flank wear estimation, wavelet representation...
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Topics: Signals, Wavelets, Wear, Artificial neural networks