scholarly journals Multi-objective Optimization in CNC Turning Process using Taguchi Method

IARJSET ◽  
2017 ◽  
Vol 4 (6) ◽  
pp. 131-139
Author(s):  
K. Kushal Kumar ◽  
Asst. Prof. Gangadhar Biradar ◽  
Asst. Prof. MD. Ashfaq Hussain
Keyword(s):  
Taguchi Method ◽  
Multi Objective Optimization ◽  
Turning Process ◽  
Cnc Turning ◽  
Multi Objective ◽  
Cnc Turning Process

scholarly journals Multi-Objective Optimization of CNC Turning Process Parameters Considering Transient-Steady State Energy Consumption

2021 ◽  
Vol 13 (24) ◽  
pp. 13803
Author(s):  
Shun Jia ◽  
Shang Wang ◽  
Jingxiang Lv ◽  
Wei Cai ◽  
Na Zhang ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Process Parameters ◽  
State Energy ◽  
Multi Objective Optimization ◽  
Turning Process ◽  
Cnc Turning ◽  
Multi Objective ◽  
Cnc Lathe ◽  
Low Energy Consumption ◽  
Cnc Turning Process

Energy-saving and emission reduction are recognized as the primary measure to tackle the problems associated with climate change, which is one of the major challenges for humanity for the forthcoming decades. Energy modeling and process parameters optimization of machining are effective and powerful ways to realize energy saving in the manufacturing industry. In order to realize high quality and low energy consumption machining of computer numerical control (CNC) lathe, a multi-objective optimization of CNC turning process parameters considering transient-steady state energy consumption is proposed. By analyzing the energy consumption characteristics in the process of machining and introducing practical constraints, such as machine tool equipment performance and tool life, a multi-objective optimization model with turning process parameters as optimization variables and high quality and low energy consumption as optimization objectives is established. The model is solved by non-dominated sorting genetic algorithm-II (NSGA-II), and the pareto optimal solution set of the model is obtained. Finally, the machining process of shaft parts is studied by CK6153i CNC lathe. The results show that 38.3% energy consumption is saved, and the surface roughness of workpiece is reduced by 47.0%, which verifies the effectiveness of the optimization method.

Multi Objective Optimization of Surface Roughness and Workpiece Surface Temperature in Turning Operation

2014 ◽  
Vol 554 ◽  
pp. 376-380
Author(s):  
Ahmad Nooraziah ◽  
V. Janahiraman Tiagrajah
Keyword(s):  
Surface Roughness ◽  
Taguchi Method ◽  
Surface Temperature ◽  
Cutting Parameters ◽  
Multi Objective Optimization ◽  
Turning Process ◽  
Workpiece Surface ◽  
Multi Objective ◽  
Controllable Factors ◽  
Single Objective

This paper presents the optimization of multiple performance characteristics (surface roughness and workpiece surface temperature) based on the Taguchi method. Three controllable factors of the turning process were studied at three levels. The single objective optimization was conducted using Taguchi method. The multiple Signal-to-Noise (MSNR) value was used to correspond to multi objective cases. The optimum combination of cutting parameters was obtained based on the highest value of MSNR.

scholarly journals Multi objective optimization model of CNC turning for minimizing processing time and carbon emission with real machining application

2021 ◽  
Vol 14 (2) ◽  
pp. 376
Author(s):  
Cucuk Nur Rosyidi ◽  
Wahyu Widhiarso ◽  
Eko Pujiyanto
Keyword(s):  
Carbon Emissions ◽  
Optimization Model ◽  
Carbon Emission ◽  
Processing Time ◽  
Cutting Speed ◽  
Cutting Fluid ◽  
Multi Objective Optimization ◽  
Cnc Turning ◽  
Multi Objective ◽  
Cnc Turning Process

Purpose: The purpose of this research is to develop an optimization model of CNC turning process. The objective function of the model is to minimize processing time and carbon emission. We implemented the results of optimization with real machining application using a certain workpiece.Design/methodology/approach: The model in this research used multi objective optimization involving two objective functions, namely processing time which includes cutting time and auxiliary time and carbon emissions resulted from the electricity energy consumptions, cutting tool, cutting fluid or coolant, raw materials production, and chip removal.Findings: The results of multi objective optimization indicate that the model can be used to minimize the processing time and carbon emissions with the optimal cutting speed and feed rate are 193.7 m/minute and 0.405 mm/rev. The results of sensitivity analysis showed that the higher weights of processing time will decrease the cutting speed, while the higher carbon emissions weight will result in faster cutting speed. The weight has no effects on feed rate.Originality/value: This paper gives a real machining application to show the applicability of the optimization model

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