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Journal of Engineering and Applied Sciences
Year: 2016  |  Volume: 11  |  Issue: 9  |  Page No.: 2028 - 2035

Development of Micro Surface Topography Prediction Software for an End Mill

Dong-Hyeon Kim, Sang-Won Seo, De-Jun Cheng and Su- Jin Kim    

Abstract: This study presents the development of software to predict the micro surface topography generated by an end mill. The software was developed using Visual C++ language. Milling experiments and other previous research results were used to validate the estimation capability of the software. A good agreement was found between reference data and prediction results. Furthermore, discrepancies between experimental and prediction results for the ball end mill were compensated by linear equations. Finally, the validated micro surface topography software can be used to predict surface topography in the mold manufacturing industry. In the future, the developed geometrical surface topography prediction software will be improved by considering the cutting mechanisms.

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