Stability analysis for the crankshaft grinding machine subjected to a variable-position worktable

被引:12
作者
Cha, K. C. [1 ]
Wang, N. [1 ]
Liao, J. Y. [2 ]
机构
[1] Chang Gung Univ, Dept Mech Engn, Tao Yuan, Taiwan
[2] Chung Shan Inst Sci & Technol, Tao Yuan, Taiwan
关键词
Crankshaft grinding machine; State space approach; Dynamic compliance; Regenerative chatter model; Stability lobe diagram; Particle swarm optimization; SURFACE GRINDER; CONSTRUCTION; CHATTER; MODEL;
D O I
10.1007/s00170-012-4501-9
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper serves to evaluate the dynamic performance and the cutting stability of the crankshaft grinding machine. The governing equations for the 7 degrees of freedom (DOF) lumped-mass model are formulated by the Lagrange energy method. The absolute value of the maximum negative real part of the overall dynamic compliance (MNRPODC) and the limiting chip width are the main performance indicators used to explore the structure's dynamic characteristics and the cutting stability of the grinding machine in various worktable positions. The effect on system performance of the distance between the mass center of the workpiece and the worktable module in the z direction is also analyzed. Based on the stability theory for regenerative chatter model, a computer program has been developed that utilizes the three-dimensional stability lobe diagrams of the multi-DOF system to automatically identify the stable and chatter zones. Time domain simulation of the cutting conditions is used to verify the stability lobe diagrams. Finally, an optimization analysis utilizing the particle swarm optimization method is carried out to obtain the optimal design variables. The results, in terms of |MNRPODC| or the limiting critical chip width, show improvements by a factor of 6.5 and are superior to that of the prototype machine.
引用
收藏
页码:501 / 516
页数:16
相关论文
共 22 条
[1]   Chatter stability of metal cutting and grinding [J].
Altintas, Y ;
Weck, M .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2004, 53 (02) :619-642
[2]  
[Anonymous], 1970, MACHINE TOOL STRUCTU
[3]  
[Anonymous], 1995, CIRP ANN-MANUF TECHN, DOI DOI 10.1016/S0007-8506(07)62342-7
[4]  
[Anonymous], 2000, MANUFACTURING PROCES
[5]  
[Anonymous], 2000, MANUFACTURING AUTOMA, DOI DOI 10.1017/CBO9780511843723
[6]   Dynamics and stability analysis of the simplified model for the surface grinder in various worktable positions [J].
Cha, K-C ;
Wang, N-Z ;
Liao, J-Y .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART K-JOURNAL OF MULTI-BODY DYNAMICS, 2011, 225 (K3) :220-234
[7]  
Gawronski W, 1998, DYNAMICS CONTROL STR
[8]  
Harris C M., 2002, Harris' Shock and Vibration Handbook, V5th ed.
[9]   Construction of a prediction model for the structural stability of a surface grinder using backpropagation neural network [J].
Hwang, R. M. ;
Cha, K. C. .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2008, 37 (11-12) :1093-1104
[10]  
Kennedy J, 1995, 1995 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS PROCEEDINGS, VOLS 1-6, P1942, DOI 10.1109/icnn.1995.488968