TY - JOUR
T1 - Modeling of cutting forces in micro end-milling
AU - Yuan, Yanjie
AU - Jing, Xiubing
AU - Ehmann, Kornel F.
AU - Cao, Jian
AU - Li, Huaizhong
AU - Zhang, Dawei
N1 - Funding Information:
The authors would like to thank School of Mechanical and Manufacturing Engineering, UNSW for assistance with the experiments and the National Youth Foundation of China (Grant No. 51105270 ).
Publisher Copyright:
© 2018
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Accurate modeling and prediction of cutting forces are important for process planning and optimization in micro end-milling process. In order to exactly predict the cutting forces, an innovative uncut chip thickness algorithm is proposed by considering the combination of the exact trochoidal trajectory of the tool tip and the cutting trajectory of all previously passing teeth, tool run-out, minimum chip thickness and the material's elastic recovery. The proposed uncut chip thickness algorithm also considers the variation of the entry and exit angles caused by tool run-out. To determine the cutting force coefficients, a finite element model (FEM) of orthogonal micro-cutting that considers strain hardening, strain rate sensitivity, thermal softening behavior, and temperature-dependent flow has been established. Based on the results from FEM analysis, the cutting force coefficients are identified and represented by a nonlinear equation of the uncut chip thickness, cutting edge radius and cutting velocity. The identified cutting force coefficients are integrated into a mechanistic cutting force model and used to simulate micro end-milling forces. The simulation results show a very satisfactory agreement with the experimental results.
AB - Accurate modeling and prediction of cutting forces are important for process planning and optimization in micro end-milling process. In order to exactly predict the cutting forces, an innovative uncut chip thickness algorithm is proposed by considering the combination of the exact trochoidal trajectory of the tool tip and the cutting trajectory of all previously passing teeth, tool run-out, minimum chip thickness and the material's elastic recovery. The proposed uncut chip thickness algorithm also considers the variation of the entry and exit angles caused by tool run-out. To determine the cutting force coefficients, a finite element model (FEM) of orthogonal micro-cutting that considers strain hardening, strain rate sensitivity, thermal softening behavior, and temperature-dependent flow has been established. Based on the results from FEM analysis, the cutting force coefficients are identified and represented by a nonlinear equation of the uncut chip thickness, cutting edge radius and cutting velocity. The identified cutting force coefficients are integrated into a mechanistic cutting force model and used to simulate micro end-milling forces. The simulation results show a very satisfactory agreement with the experimental results.
KW - Chip thickness
KW - Cutting force coefficients
KW - Cutting forces
KW - Finite element analysis
KW - Micro end-milling
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U2 - 10.1016/j.jmapro.2018.01.012
DO - 10.1016/j.jmapro.2018.01.012
M3 - Article
AN - SCOPUS:85043332441
SN - 1526-6125
VL - 31
SP - 844
EP - 858
JO - Journal of Manufacturing Processes
JF - Journal of Manufacturing Processes
ER -