scholarly journals Cutting parameter optimization method in multi-pass milling based on improved adaptive PSO and SA

2021 ◽  
Vol 1848 (1) ◽  
pp. 012116
Author(s):  
Yilin Fang ◽  
Lili Zhao ◽  
Ping Lou ◽  
Junwei Yan
Author(s):  
Xingzheng Chen ◽  
Congbo Li ◽  
Ying Tang ◽  
Li Li ◽  
Hongcheng Li

AbstractMechanical manufacturing industry consumes substantial energy with low energy efficiency. Increasing pressures from energy price and environmental directive force mechanical manufacturing industries to implement energy efficient technologies for reducing energy consumption and improving energy efficiency of their machining processes. In a practical machining process, cutting parameters are vital variables set by manufacturers in accordance with machining requirements of workpiece and machining condition. Proper selection of cutting parameters with energy consideration can effectively reduce energy consumption and improve energy efficiency of the machining process. Over the past 10 years, many researchers have been engaged in energy efficient cutting parameter optimization, and a large amount of literature have been published. This paper conducts a comprehensive literature review of current studies on energy efficient cutting parameter optimization to fully understand the recent advances in this research area. The energy consumption characteristics of machining process are analyzed by decomposing total energy consumption into electrical energy consumption of machine tool and embodied energy of cutting tool and cutting fluid. Current studies on energy efficient cutting parameter optimization by using experimental design method and energy models are reviewed in a comprehensive manner. Combined with the current status, future research directions of energy efficient cutting parameter optimization are presented.


2019 ◽  
Vol 208 ◽  
pp. 937-950 ◽  
Author(s):  
Guanghui Zhou ◽  
Qi Lu ◽  
Zhongdong Xiao ◽  
Ce Zhou ◽  
Changle Tian

2014 ◽  
Vol 1082 ◽  
pp. 138-142
Author(s):  
Li Feng Zhu ◽  
Yan Zhang

Process parameters optimization is an important problem in numerical control machining, through the analysis of various factors affecting the cutting effect in cutting process, a mathematical model of cutting parameter optimization in NC machining is established and the constraint conditions are also determined in the paper. The article puts forward using genetic algorithm to realize the optimization of mathematical model, and the optimization analysis results are verified in practical processing. The experimental results show that the optimized cutting parameters can satisfy machining requests and improve the cutting efficiency.


Sign in / Sign up

Export Citation Format

Share Document