FPGA based on-line tool breakage detection system for CNC milling machines

Author:

René de Jesús Romero-Troncoso,Gilberto Herrera-Ruiz,Iván Terol-Villalobos,Juan Carlos Jáuregui-Correa

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

Reference19 articles.

1. An overview of approaches to end milling tool monitoring;Prickett;Int. J. Mach. Tools Manuf.,1999

2. Oguamanam DCD, Bhole DC, Raafat H, Taboun SM. Tool wear monitoring and breakage detection: a machine vision approach. In: Conference VISION’90, Society of Manufacturing Engineers. Detroit, Michigan, November 12–15, 1990, MS90-608

3. Roth JT, Pandit SM. Using multivariate models to monitor end-mill wear and predict tool failure. In: XXVII NAMRC Conference, Society of Manufacturing Engineers. Berkeley, California, May 25–28, 1999, MR99-138

4. Kasashima K, Mori K, Herrera-Ruiz G. Diagnosing cutting tool conditions in milling using wavelet transform. In: 7th International Conference on Production/Precision Engineering, JSPE. Chiba, Japan, September 15–17, 1994, p. 339–44

5. Current-sensor-based feed cutting force intelligent estimation and tool wear condition monitoring;Li;IEEE Trans. Ind. Electron.,2000

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