scholarly journals Machinability Evaluation of Titanium Alloys (Part 2)-Analyses of Cutting Force and Spindle Motor Current-

2004 ◽  
Vol 23 (4) ◽  
pp. 621-627 ◽  
Author(s):  
Masafumi KIKUCHI ◽  
Osamu OKUNO
Keyword(s):  
Titanium Alloys ◽  
Cutting Force ◽  
Spindle Motor ◽  
Motor Current ◽  
Spindle Motor Current

Monitoring Cutting Forces In Turning: A Model-Based Approach

2000 ◽  
Vol 124 (1) ◽  
pp. 26-31 ◽  
Author(s):  
Jeffrey L. Stein ◽  
Kunsoo Huh
Keyword(s):  
Cutting Force ◽  
Cutting Forces ◽  
Spindle Motor ◽  
Turning Process ◽  
Motor Current ◽  
Model Based ◽  
Cnc Lathe ◽  
Spindle Motor Current ◽  
Force Monitoring

The importance of monitoring the cutting force in the turning process has been well recognized in industry as well as in the open literature. This paper proposes a cutting force monitoring approach that does not utilize force dynamometers but rather estimates the cutting force based on the spindle motor current and speed as well as a model that relates these measurements to the cutting force. Motor current and speed can not only be inexpensively and reliably measured but, in addition, can be shown, along with the properly chosen model for the model-based estimator, to accurately estimate the cutting force. This method is demonstrated on a CNC lathe and its advantages and limitations are discussed.

Face Milling Tool Wear Condition Monitoring Based on Wavelet Transform and Shannon Entropy

2014 ◽  
Vol 541-542 ◽  
pp. 1419-1423 ◽  
Author(s):  
Min Zhang ◽  
Hong Qi Liu ◽  
Bin Li
Keyword(s):  
Wavelet Transform ◽  
Tool Wear ◽  
Condition Monitoring ◽  
Shannon Entropy ◽  
Spindle Motor ◽  
Face Milling ◽  
Motor Current ◽  
Milling Tool ◽  
Spindle Motor Current ◽  
Wear Condition

Tool condition monitoring is an important issue in the advanced machining process. Existing methods of tool wear monitoring is hardly suitable for mass production of cutting parameters fluctuation. In this paper, a new method for milling tool wear condition monitoring base on tunable Q-factor wavelet transform and Shannon entropy is presented. Spindle motor current signals were recorded during the face milling process. The wavelet energy entropy of the current signals carries information about the change of energy distribution associated with different tool wear conditions. Experiment results showed that the new method could successfully extract significant signature from the spindle-motor current signals to effectively estimate tool wear condition during face milling.

Research on Modeling Mapping Relationship between Cutting Load and Spindle Motor Current

2011 ◽  
Vol 305 ◽  
pp. 353-356
Author(s):  
Xi Li ◽  
Dan Feng Feng
Keyword(s):  
Intelligent Control ◽  
Spindle Motor ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Intelligent Control System ◽  
Motor Current ◽  
Spindle Motor Current ◽  
Identification Theory ◽  
The Relationship ◽  
Spindle Current

The relationship between cutting load and motor current of CNC machine tools is an important part for research in intelligent control system. In this paper, the process of processing the error spindle current signal averaging, filtering, signal preprocessing, At the base of feature analysis and extraction, using system identification theory get the mapping model from current of the spindle to cutting load. Finally, the actual cutting data used to verify the model is reasonable.

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