scholarly journals Multi objective optimization model for minimizing production cost and environmental impact in CNC turning process

2018 ◽  
Author(s):  
Wahyu Widhiarso ◽  
Cucuk Nur Rosyidi
Keyword(s):  
Environmental Impact ◽  
Optimization Model ◽  
Production Cost ◽  
Multi Objective Optimization ◽  
Turning Process ◽  
Cnc Turning ◽  
Multi Objective ◽  
Cnc Turning Process

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.

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 Research on Blank Optimization Design Based on Low-Carbon and Low-Cost Blank Process Route Optimization Model

2021 ◽  
Vol 13 (4) ◽  
pp. 1929
Author(s):  
Yongmao Xiao ◽  
Wei Yan ◽  
Ruping Wang ◽  
Zhigang Jiang ◽  
Ying Liu
Keyword(s):  
Optimization Model ◽  
Optimization Design ◽  
Design Method ◽  
Low Cost ◽  
Route Optimization ◽  
Low Carbon ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Blank Design ◽  
Process Route

The optimization of blank design is the key to the implementation of a green innovation strategy. The process of blank design determines more than 80% of resource consumption and environmental emissions during the blank processing. Unfortunately, the traditional blank design method based on function and quality is not suitable for today’s sustainable development concept. In order to solve this problem, a research method of blank design optimization based on a low-carbon and low-cost process route optimization is proposed. Aiming at the processing characteristics of complex box type blank parts, the concept of the workstep element is proposed to represent the characteristics of machining parts, a low-carbon and low-cost multi-objective optimization model is established, and relevant constraints are set up. In addition, an intelligent generation algorithm of a working step chain is proposed, and combined with a particle swarm optimization algorithm to solve the optimization model. Finally, the feasibility and practicability of the method are verified by taking the processing of the blank of an emulsion box as an example. The data comparison shows that the comprehensive performance of the low-carbon and low-cost multi-objective optimization is the best, which meets the requirements of low-carbon processing, low-cost, and sustainable production.

Sign in / Sign up

Export Citation Format

Share Document