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

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 Model of Multi-Pass Turning Operations to Minimize Energy, Carbon Emissions, and Production Costs

2020 ◽  
Vol 21 (2) ◽  
pp. 213-224
Author(s):  
Aprilia Dityarini ◽  
Eko Pujiyanto ◽  
I Wayan Suletra
Keyword(s):  
Carbon Emissions ◽  
Optimization Model ◽  
Sustainable Manufacturing ◽  
Cutting Parameters ◽  
Production Costs ◽  
Machining Process ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Decision Variables ◽  
Optimal Values

Sustainable manufacturing aspects are environmental, economic, and social. These aspects can be applied to an optimization model in the machining process. An optimization model is needed to determine the optimum cutting parameters. This research develops a multi-objective optimization model that can optimize cutting parameters on a multi-pass turning. Decision variables are cutting parameters multi-pass turning. This research has three objective functions for minimizing energy, carbon emissions, and costs. Three functions are searched for optimal values using the GEKKO.  A numerical example is given to show the implementation of the model and solved using GEKKO and Interior Point Optimizer (IPOPT). The results of optimization indicate that the model can be used to optimize the cutting parameters.

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 Design of Process Parameter Based on Game Theory

2011 ◽  
Vol 121-126 ◽  
pp. 964-967 ◽  
Author(s):  
Yan Li ◽  
He Ping Wang ◽  
Fu Yu Wang
Keyword(s):  
Optimization Model ◽  
Game Design ◽  
Processing Time ◽  
Design Method ◽  
Process Parameter ◽  
Game Model ◽  
Multi Objective Optimization ◽  
Game Analysis ◽  
Multi Objective ◽  
Processing Cost

Taking the processing time ,the processing cost per workpiece as objective funtion,two optimization model is established.Multi-objective solving method based on nash equilibrium game model is put forward.Taking the sub-objective function of multi-objective optimization model as game party ,all design variable as strategy set,calculation steps of process parameter multi-objective optimization based on game analysis are founded .As turing technology an example,the result of analysis show multi-objective game design method is effective and feasible

Sign in / Sign up

Export Citation Format

Share Document