scholarly journals Multi-objective cutting parameter optimization model of multi-pass turning in CNC machines for sustainable manufacturing

Heliyon ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. e06043 ◽  
Author(s):  
Phengky Pangestu ◽  
Eko Pujiyanto ◽  
Cucuk Nur Rosyidi
Keyword(s):  
Parameter Optimization ◽  
Optimization Model ◽  
Sustainable Manufacturing ◽  
Cnc Machines ◽  
Cutting Parameter ◽  
Multi Objective ◽  
Cutting Parameter Optimization

scholarly journals Energy efficient cutting parameter optimization

2021 ◽  
Author(s):  
Xingzheng Chen ◽  
Congbo Li ◽  
Ying Tang ◽  
Li Li ◽  
Hongcheng Li
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Parameter Optimization ◽  
Energy Efficient ◽  
Cutting Parameters ◽  
Machining Process ◽  
Cutting Fluid ◽  
Current Status ◽  
Cutting Parameter ◽  
Cutting Parameter Optimization

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.

Energy oriented multi cutting parameter optimization in face milling

2016 ◽  
Vol 137 ◽  
pp. 1602-1618 ◽  
Author(s):  
Paolo Albertelli ◽  
Anupam Keshari ◽  
Andrea Matta
Keyword(s):  
Parameter Optimization ◽  
Face Milling ◽  
Cutting Parameter ◽  
Cutting Parameter Optimization

Cutting parameter optimization for machining operations considering carbon emissions

2019 ◽  
Vol 208 ◽  
pp. 937-950 ◽  
Author(s):  
Guanghui Zhou ◽  
Qi Lu ◽  
Zhongdong Xiao ◽  
Ce Zhou ◽  
Changle Tian
Keyword(s):  
Parameter Optimization ◽  
Carbon Emissions ◽  
Cutting Parameter ◽  
Cutting Parameter Optimization ◽  
Machining Operations

Application of Genetic Algorithm in Cutting Parameter Optimization

2014 ◽  
Vol 1082 ◽  
pp. 138-142
Author(s):  
Li Feng Zhu ◽  
Yan Zhang
Keyword(s):  
Genetic Algorithm ◽  
Mathematical Model ◽  
Parameter Optimization ◽  
Cutting Parameters ◽  
Parameters Optimization ◽  
Numerical Control ◽  
Numerical Control Machining ◽  
Factors Affecting ◽  
Cutting Parameter ◽  
Cutting Parameter Optimization

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.

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