Multi-objective Machining Parameters Optimization for Low Energy and Minimum Cutting Fluid Consumption

被引:1
|
作者
Ma, Feng [1 ]
Zhang, Hua [1 ]
Cao, Huajun [1 ,2 ]
机构
[1] School of Machinery and Automation, Wuhan University of Science and Technology, Wuhan,430081, China
[2] State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing,400044, China
关键词
D O I
10.3901/JME.2017.11.157
中图分类号
学科分类号
摘要
The NC machining is a widely used processing method in the mechanical manufacturing system. In order to realize the high efficiency of the NC machining, the NC milling parameters optimization problem for low energy and minimum cutting fluid consumption is studied. The energy consumption objective function and cutting fluid consumption objective function are established. Considering the machine tool property and processing quality constraints, a multi-objective optimization model is established, which takes the NC machining cutting speed and feed and cutting fluid flow as the variables, the lowest energy consumption and the minimum cutting fluid consumption as the optimization objectives and non-dominated sorting genetic algorithm-II (NSGA-II) algorithm is applied to solve it. An experiment case is performed to verify the effectiveness of the optimization model, and the machining parameters optimization results are analyzed. © 2017 Journal of Mechanical Engineering.
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页码:157 / 163
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