Modeling and Prediction Research on End Mills Wear in Micro Turn-Milling Process

Xiao Yang Su; Zhi Jing Zhang; Xin Jin; Yong Jun Deng

doi:10.4028/www.scientific.net/AMM.423-426.741

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 423-426Modeling and Prediction Research on End Mills Wear...

Modeling and Prediction Research on End Mills Wear in Micro Turn-Milling Process

Abstract:

An end mills wear experiment was designed to model and predict the end mills wear in micro turn-milling process. Based on the on-line visual measurement system, the tool wear was measured, then micro turn-milling tool wear regression models were established according to Response surface Method (RSM). The relationship between cutting parameters and tool wear was discussed in detail. The results indicate that the regression model can predict the value and regularity of end mills wear accurately, which can provide guidance on improving machining precision and quality in micro turn-milling process.

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Periodical:

Applied Mechanics and Materials (Volumes 423-426)

Pages:

741-745

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.423-426.741

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Online since:

September 2013

Authors:

Xiao Yang Su*, Zhi Jing Zhang, Xin Jin, Yong Jun Deng

Keywords:

End Mill Wear, Micro Turn-Milling, Regression Model, Response Surface Method (RSM)

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* - Corresponding Author

References

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