TY - GEN
T1 - Towards Lightweight Spindle of CNC Lathe Using Structural Optimization Design for Energy Saving
AU - Lv, Yan
AU - Li, Congbo
AU - Tang, Ying
AU - Chen, Xingzheng
AU - Zhao, Xikun
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/8
Y1 - 2020/8
N2 - The spindle system of computer numerical control (CNC) lathe is the principal energy consumer in the machine tool operating stage. Structural optimization design of spindle is regarded as an effective strategy for energy saving. Compared with previous optimization design methods for improving deformation, vibration and other traditional performance indicators of spindle, this paper proposes a method comprehensively considering energy consumption and traditional performance. Firstly, we bulid an energy consumption function of spindle. Structure parameters that have the great influence on the indicators are selected as decision variables. Then, a comprehensive performance objective is determined. Finally, a hybrid algorithm is developed to solve the optimization model. The results show that the optimized structure can decrease the energy consumption while ensuring the static and dynamic performance.
AB - The spindle system of computer numerical control (CNC) lathe is the principal energy consumer in the machine tool operating stage. Structural optimization design of spindle is regarded as an effective strategy for energy saving. Compared with previous optimization design methods for improving deformation, vibration and other traditional performance indicators of spindle, this paper proposes a method comprehensively considering energy consumption and traditional performance. Firstly, we bulid an energy consumption function of spindle. Structure parameters that have the great influence on the indicators are selected as decision variables. Then, a comprehensive performance objective is determined. Finally, a hybrid algorithm is developed to solve the optimization model. The results show that the optimized structure can decrease the energy consumption while ensuring the static and dynamic performance.
UR - https://www.scopus.com/pages/publications/85094175388
UR - https://www.scopus.com/pages/publications/85094175388#tab=citedBy
U2 - 10.1109/CASE48305.2020.9216976
DO - 10.1109/CASE48305.2020.9216976
M3 - Conference contribution
AN - SCOPUS:85094175388
T3 - IEEE International Conference on Automation Science and Engineering
SP - 220
EP - 225
BT - 2020 IEEE 16th International Conference on Automation Science and Engineering, CASE 2020
PB - IEEE Computer Society
T2 - 16th IEEE International Conference on Automation Science and Engineering, CASE 2020
Y2 - 20 August 2020 through 21 August 2020
ER -