Prediction of Machining Error for Machine Tool Multi-Body System Restrained by Stiffness Field[J]. 2016, 50(6): 90-96+158.
DOI:
Prediction of Machining Error for Machine Tool Multi-Body System Restrained by Stiffness Field[J]. 2016, 50(6): 90-96+158.DOI: 10.7652/xjtuxb201606014.
Prediction of Machining Error for Machine Tool Multi-Body System Restrained by Stiffness Field
A novel method for machine tool multi-body system restrained by stiffness field is proposed to solve the difficulty of discontinuous machining error prediction result. According to the characteristics of multi-body system kinematics solution
the machine tool component is considered as an elastic body
and the lower body array and transfer matrix are used to describe the motion relationship between the machine tool components. Following the condensation approach of stiffness matrix and the least square evaluation
the stiffness model under moving load of machine tool component can be obtained. Then Jacobian matrix is taken to construct the machining error prediction model. This method is verified in a boring milling machining error prediction for an engine cylinder head. The combined machining error prediction method enables to optimize the angle of clamping in engine shell machining process. Describing multi-body system by lower body array facilitates evaluating errors in united machining process. According to the combined machining error prediction
the machining precision can be increased by 35% at working degree of 90°.
HUANG Ke, GUAN Liwen, YANG Liangliang, et al. Geometric error modeling of five-axis CNC machine tools based on “S” shaped test piece [J]. Machinery Design Manufacture, 2015(2): 189-197.
FU Guoqiang, FU Jianzhong, XU Yuetong, et al. Product of exponential model for geometric error integration of multi-axis machine tools [J]. Int J Adv Manuf Technol, 2014, 71: 1653-1667.
CHEN G S, MEI X S, LI H L. Geometric error modeling and compensation for large-scale grinding machine tools with multi-axes [J]. Int J Adv Manuf Technol, 2013, 69: 2583-2592.
KANG Nianhui, LI Shengyi, ZHENG Ziwen. Error model and compensation technology of aspheric grinding based on multibody system theory [J]. Chinese Journal of Mechanical Engineering, 2008, 44(4): 143-149.
YANG Chengxu, ZHENG Yu, XU Zhoulong. The universal volumetric error modeling of a four-campaign platform based on the multi-body system theory [J]. Modern Manufacturing Engineering, 2009(4): 1-4.
FAN Jinwei, FEI Renyuan, TIAN Yue, et al. Study on the movement volume analysis and simulation method for parallel machine tool based on multi-body system [J]. Chinese Journal of Mechanical Engineering, 2001, 37(1): 32-36.
DING Shuang, HUANG Xiaodiao, YU Chunjian, et al. Identification of different geometric error models and definitions for the rotary axis of five-axis machine tools [J]. International Journal of Machine Tools and Manufacture, 2016, 100(1): 1-6.
YAN Rong, CHEN Wei, PENG Fangyu, et al. Closed-loop stiffness modeling and stiffness index analysis for multi-axis machining system [J]. Chinese Journal of Mechanical Engineering, 2012, 48(1): 177-184.
DE LACALLE L N L, LAMIKIZ A. Machine tools for high performance machining [M]. Berlin, Germany: Springer-Verlag, 2009: 46-52.
CHANAL H, DUC E, RAY P. A study of the impact of machine tool structure on machining processes [J]. International Journal of Machine Tools Manufacture, 2006, 46(2): 98-106.
LIU Haitao, ZHAO Wanhua. Dynamic characteristic analysis for machine tools based on concept of generalized manufacturing space [J]. Chinese Journal of Mechanical Engineering, 2010, 46(21): 54-60.
GUYAN R J. Reduction of stiffness and mass matrices [J]. AIAA Journal, 1965, 3(2): 380-380.
LÜ Yanan, WANG Liping, GUAN Liwen. Stiffness analysis and optimization of a hybrid machine tool based on the stiffness matrix [J]. Journal of Tsinghua University: Science and Technology, 2008, 48(2): 180-183.