Recent Development of Parameter Optimization for Machining Processes

被引:0
作者
An, Libao [1 ]
Chen, Mingyuan [2 ]
Yang, Peiqing [1 ]
机构
[1] Hebei United Univ, Coll Mech Engn, Tangshan 063009, Hebei, Peoples R China
[2] Concordia Univ, Dept Mech & Ind Engn, Montreal, PQ H3G 1M8, Canada
来源
2013 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST) | 2013年
关键词
MULTIOBJECTIVE OPTIMIZATION; CUTTING PARAMETERS; GENETIC ALGORITHM; NEURAL-NETWORK; OPERATIONS; DESIGN;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Machining parameter optimization plays an important role in satisfying quality requirements of machined parts at low production cost or time. It requires optimal selection of machining parameters and is essential for the process automation and implementation of a computer-integrated manufacturing system. In this research, a brief review of recent progress on the optimization of machining parameters is introduced. Some new machining practices developed in recent years are discussed including hard turning, dry cutting, high speed machining, and machining of difficult-to-machine materials. Modeling skills for creating relations between input parameters and output performances of machining processes and optimization techniques for solving optimal or near-optimal solutions are summarized and analyzed.
引用
收藏
页码:321 / 325
页数:5
相关论文
共 32 条