TY  - JOUR
T1  - Development of Micro Surface Topography Prediction Software for an End Mill
AU - Jin Kim, Su- AU - Kim, Dong-Hyeon AU - Seo, Sang-Won AU - Cheng, De-Jun 
JO  - Journal of Engineering and Applied Sciences
VL  - 11
IS  - 9
SP  - 2028
EP  - 2035
PY  - 2016
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2016.2028.2035
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2016.2028.2035
KW  - Machining simulation
KW  -surface topography
KW  -surface roughness
KW  -end mill
KW  -Korea
AB  - 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.
ER  -