TY - JOUR
T1 - Nonlinear dynamics of the milling head drive mechanism in five-axis CNC machine tools
AU - Zhao, Pengbing
AU - Huang, Jin
AU - Shi, Yaoyao
N1 - Publisher Copyright:
© 2017, Springer-Verlag London.
PY - 2017/8/1
Y1 - 2017/8/1
N2 - As an essential assembly in five-axis CNC machine tools, the milling head with high-power and high-torque is used in processing the titanium, superalloy, and other high hardness materials. However, nonlinear friction, structural flexibility, and other factors affect the positioning precision and dynamic characteristics of the milling head seriously. To achieve perfect performance, dynamics investigation is necessary in the initial design. Firstly, considering the nonlinear friction and structural flexibility, a nonlinear dynamics model is established. Secondly, based on least squares method and genetic algorithm, static and dynamic parameters are identified for the LuGre friction model, and the axial elastic coefficients are calculated by the pressure tests. Finally, the dynamics model is solved by Newton-Simpson algorithm and Newmark-β algorithm. Additionally, influences of related parameters on dynamics performance of the milling head drive mechanism are investigated. The theoretical model and experimental results derived in this paper provide basis for the optimal design and error compensation control of the milling head drive system.
AB - As an essential assembly in five-axis CNC machine tools, the milling head with high-power and high-torque is used in processing the titanium, superalloy, and other high hardness materials. However, nonlinear friction, structural flexibility, and other factors affect the positioning precision and dynamic characteristics of the milling head seriously. To achieve perfect performance, dynamics investigation is necessary in the initial design. Firstly, considering the nonlinear friction and structural flexibility, a nonlinear dynamics model is established. Secondly, based on least squares method and genetic algorithm, static and dynamic parameters are identified for the LuGre friction model, and the axial elastic coefficients are calculated by the pressure tests. Finally, the dynamics model is solved by Newton-Simpson algorithm and Newmark-β algorithm. Additionally, influences of related parameters on dynamics performance of the milling head drive mechanism are investigated. The theoretical model and experimental results derived in this paper provide basis for the optimal design and error compensation control of the milling head drive system.
KW - Dynamics characteristics
KW - Friction identification
KW - Milling head
KW - Structural flexibility
KW - Worm gear
UR - http://www.scopus.com/inward/record.url?scp=85009724163&partnerID=8YFLogxK
U2 - 10.1007/s00170-017-9989-6
DO - 10.1007/s00170-017-9989-6
M3 - 文章
AN - SCOPUS:85009724163
SN - 0268-3768
VL - 91
SP - 3195
EP - 3210
JO - International Journal of Advanced Manufacturing Technology
JF - International Journal of Advanced Manufacturing Technology
IS - 9-12
ER -