scholarly journals Tool condition monitoring of aluminum oxide grinding wheel using AE and fuzzy model

2018 ◽  
Vol 96 (1-4) ◽  
pp. 67-79 ◽  
Author(s):  
Felipe Aparecido Alexandre ◽  
Wenderson Nascimento Lopes ◽  
Fábio R. Lofrano Dotto ◽  
Fábio Isaac Ferreira ◽  
Paulo Roberto Aguiar ◽  
...  
Keyword(s):  
Aluminum Oxide ◽  
Condition Monitoring ◽  
Fuzzy Model ◽  
Tool Condition Monitoring ◽  
Grinding Wheel ◽  
Tool Condition

scholarly journals Tool Condition Monitoring in Grinding Operation Using Piezoelectric Impedance and Wavelet Transform

Proceedings ◽  
2019 ◽  
Vol 42 (1) ◽  
pp. 10
Author(s):  
Pedro Oliveira Junior ◽  
Paulo Aguiar ◽  
Rodrigo Ruzzi ◽  
Salvatore Conte ◽  
Martin Viera ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Condition Monitoring ◽  
Single Point ◽  
Tool Condition Monitoring ◽  
Grinding Wheel ◽  
Discrete Wavelet ◽  
Electromechanical Impedance ◽  
Tool Condition ◽  
Dressing Tool ◽  
Piezoelectric Impedance

The purpose of the present study is to monitor tool condition in a grinding operation through the electromechanical impedance (EMI) using wavelet analysis. To achieve this, a dressing experiment was conducted on an industrial aluminum oxide grinding wheel by fixing a stationary single-point diamond tool. The proposed approach was verified experimentally at various dressing tool conditions. The signals obtained from an EMI data acquisition system, composed of a piezoelectric diaphragm transducer attached to the tool holder, were processed using discrete wavelet transform. The approximation and detail coefficients obtained from wavelet decomposition were used to estimate tool condition using the correlation coefficient deviation metric (CCDM). The results show excellent performance in tool condition monitoring by the proposed technique, which effectively contributes to modern machine tool automation.

scholarly journals Remote acoustic analysis for tool condition monitoring

2019 ◽  
Vol 38 ◽  
pp. 840-847
Author(s):  
James Coady ◽  
Daniel Toal ◽  
Thomas Newe ◽  
Gerard Dooly
Keyword(s):  
Condition Monitoring ◽  
Acoustic Analysis ◽  
Tool Condition Monitoring ◽  
Tool Condition

Application of spindle power signals in tool condition monitoring based on HHT algorithm

2019 ◽  
Vol 106 (3-4) ◽  
pp. 1385-1395
Author(s):  
Bin Shen ◽  
Yufei Gui ◽  
Biao Chen ◽  
Zichao Lin ◽  
Qi Liu ◽  
...  
Keyword(s):  
Condition Monitoring ◽  
Tool Condition Monitoring ◽  
Tool Condition ◽  
Spindle Power

scholarly journals Acoustic Emission Studies on Carbon/Phenolic Ablative Composites using PCD and PCBN Tools

1999 ◽  
Vol 8 (3) ◽  
pp. 096369359900800 ◽  
Author(s):  
P. S. Sreejith ◽  
R. Krishnamurthy
Keyword(s):  
Acoustic Emission ◽  
Condition Monitoring ◽  
Cutting Tool ◽  
Tool Condition Monitoring ◽  
Tool Condition ◽  
The Status ◽  
Emission Studies ◽  
Pcbn Tools ◽  
Cutting Speeds ◽  
Phenolic Composite

During manufacturing, the performance of a cutting tool is largely dependent on the conditions prevailing over the tool-work interface. This is mostly dependent on the status of the cutting tool and work material. Acoustic emission studies have been performed on carbon/phenolic composite using PCD and PCBN tools for tool condition monitoring. The studies have enabled to understand the tool behaviour at different cutting speeds.

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