Paper
6 August 2014 Diamond tool wear detection method using cutting force and its power spectrum analysis in ultra-precision fly cutting
G. Q. Zhang, S. To
Author Affiliations +
Proceedings Volume 9281, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies; 928105 (2014) https://doi.org/10.1117/12.2067562
Event: 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT 2014), 2014, Harbin, China
Abstract
Cutting force and its power spectrum analysis was thought to be an effective method monitoring tool wear in many cutting processes and a significant body of research has been conducted on this research area. However, relative little similar research was found in ultra-precision fly cutting. In this paper, a group of experiments were carried out to investigate the cutting forces and its power spectrum characteristics under different tool wear stages. Result reveals that the cutting force increases with the progress of tool wear. The cutting force signals under different tool wear stages were analyzed using power spectrum analysis. The analysis indicates that a characteristic frequency does exist in the power spectrum of the cutting force, whose power spectral density increases with the increasing of tool wear level, this characteristic frequency could be adopted to monitor diamond tool wear in ultra-precision fly cutting.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
G. Q. Zhang and S. To "Diamond tool wear detection method using cutting force and its power spectrum analysis in ultra-precision fly cutting", Proc. SPIE 9281, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies, 928105 (6 August 2014); https://doi.org/10.1117/12.2067562
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Cited by 1 scholarly publication.
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KEYWORDS
Diamond

Signal processing

Spectrum analysis

Photography

Spindles

Scanning electron microscopy

Analytical research

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