Abstract
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Article Information:
Research on Tool Wear Monitoring Method based on Project Pursuit Regression for a CNC Machine Tool
Qianjian Guo, Shanshan Yu and Lei He
Corresponding Author: Qianjian Guo
Submitted: February 06, 2013
Accepted: February 25, 2013
Published: January 20, 2014 |
Abstract:
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Tool wear is a major contributor to machining errors of a workpiece. Tool wear prediction is an effective way to estimate the wear loss in precision machining. In this study, all kinds of machining conditions are treated as the input variables, the wear loss of the tool is treated as the output variable, and Projection Pursuit Regression (PPR) algorithm is proposed to mapping the tool wear loss. Finally, a real-time prediction device is presented based on the proposed PPR algorithm, and the prediction and measurement results are found to be in satisfied agreement with average error lower than 5%.
Key words: CNC machine tool, Online prediction, project pursuit regression, tool wear monitoring, , ,
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Cite this Reference:
Qianjian Guo, Shanshan Yu and Lei He, . Research on Tool Wear Monitoring Method based on Project Pursuit Regression for a CNC Machine Tool. Research Journal of Applied Sciences, Engineering and Technology, (3): 438-441.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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