TY - JOUR
T1 - Study on milling parameter optimization method based on gray theory
AU - Xin, Min
AU - Wang, Xibing
AU - Xie, Lijing
AU - Wang, Huifang
AU - Yang, Yue
PY - 2009/12/10
Y1 - 2009/12/10
N2 - In order to settle the problem of selecting milling parameters during milling the workpiece of easy to be distorted, a method for optimizing the milling parameters was proposed based on gray theory. Cutting experiments were designed by orthogonal experimental design technique. The gray relational degree and the gray incidence coefficient among the milling parameters, the machining distortion, the surface roughness and the machining efficiency were calculated. The optimization of the milling parameters was done based on the single objective function and the multi-objective function, and the additional production experiments were completed. The results show that the machining distortion is 0.055mm, the surface roughness is 0.7964μm and the machining efficiency is 36.3mm3/min by means of the optimized parameters, the machining efficiency and the machining quality are improved greatly.
AB - In order to settle the problem of selecting milling parameters during milling the workpiece of easy to be distorted, a method for optimizing the milling parameters was proposed based on gray theory. Cutting experiments were designed by orthogonal experimental design technique. The gray relational degree and the gray incidence coefficient among the milling parameters, the machining distortion, the surface roughness and the machining efficiency were calculated. The optimization of the milling parameters was done based on the single objective function and the multi-objective function, and the additional production experiments were completed. The results show that the machining distortion is 0.055mm, the surface roughness is 0.7964μm and the machining efficiency is 36.3mm3/min by means of the optimized parameters, the machining efficiency and the machining quality are improved greatly.
KW - Gray relational degree
KW - Machining distortion
KW - Milling parameter
KW - Optimization
UR - http://www.scopus.com/inward/record.url?scp=74049149885&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:74049149885
SN - 1004-132X
VL - 20
SP - 2807
EP - 2810
JO - Zhongguo Jixie Gongcheng/China Mechanical Engineering
JF - Zhongguo Jixie Gongcheng/China Mechanical Engineering
IS - 23
ER -