A new approach for predicting and collaborative evaluating the cutting force in face milling based on gene expression programming

2013 ◽  
Vol 36 (6) ◽  
pp. 1540-1550 ◽  
Author(s):  
Yang Yang ◽  
Xinyu Li ◽  
Liang Gao ◽  
Xinyu Shao
Keyword(s):  
Gene Expression ◽  
Cutting Force ◽  
Gene Expression Programming ◽  
Face Milling ◽  
New Approach

Sensing Tool Breakage in Face Milling by Support Vector Machine

2011 ◽  
Vol 264-265 ◽  
pp. 991-996
Author(s):  
Yao Wen Hsueh ◽  
Chan Yun Yang
Keyword(s):  
Support Vector Machine ◽  
Cutting Force ◽  
Frequency Domain ◽  
Face Milling ◽  
Support Vector ◽  
Tool Breakage ◽  
New Approach ◽  
Milling Operations ◽  
Wide Range ◽  
Diagnosis Technique

This paper introduces a new tool breakage diagnosis technique by using a support vector machine (SVM) in face milling. From the viewpoint of frequency domain, the paper is focused mainly on the diagnosis with spectrum of cutting force signals. With the spectrum, the SVM is learned to adapt the diagnosis. As the substantial benefits in classification, the system, joined the spectrum input and the SVM learning, is capable of responding in real-time to diagnose automatically when a tool fracture occurs even under the varying cutting conditions, and is really admissible to monitor the machining tool with or without breakage. As for the experimental results, they show that this new approach could sense tool breakage in a wide range of face milling operations.

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