Study on Cutting Parameters Optimization Based on Uniform Design Method

2010 ◽  
Vol 26-28 ◽  
pp. 764-769
Author(s):  
Deng Wan Li ◽  
Hong Tao Chen ◽  
Ming Heng Xu ◽  
Cheng Ming Zhong
Keyword(s):  
Titanium Alloy ◽  
Optimization Model ◽  
Design Method ◽  
Uniform Design ◽  
Multiple Linear Regression Model ◽  
Cutting Parameters ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Uniform Design Method ◽  
Cutting Parameters Optimization

In order to explore the cutting rules and optimize the cutting parameters of titanium alloy, multiple sets of test parameters were schemed out by using the uniform design method. Test cutting researches with these parameters were conducted under the condition of 12°C dry cutting and -50°C cold blast machining respectively. Through the regression analysis about the results of the test, a multiple linear regression model which is applicable for titanium alloy cutting on its surface roughness and cutting force has been established. The variance analysis shows that it is of remarkable linear relationship. On this basis, a multi-objective optimization model of titanium alloy has been set up. And by means of multi-objective data weighted method, successfully convert the multi-objective optimization model into a single-objective one. Verification tests were done under these cutting parameters, and the results are in good agreement with the calculated.

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.

Research on the Cutting Fluid Effect on Cutting Force and Surface Roughness in Rotor Milling

2012 ◽  
Vol 723 ◽  
pp. 50-55
Author(s):  
Jian Lu Wang ◽  
Liang Liang Wu ◽  
Jun Zhang ◽  
Wan Hua Zhao ◽  
Yi Fei Jiang ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Cutting Force ◽  
Design Method ◽  
Uniform Design ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Cutting Fluid ◽  
Cutting Depth ◽  
Multivariable Regression ◽  
Uniform Design Method

A series of milling experiments with and without cutting fluid, arranged by uniform design method, were carried out on rotor material. The influence of cutting fluid on cutting force and surface roughness was explored and compared for the two kinds of conditions. The associated model was established between cutting force & surface roughness and cutting parameters according to the linear multivariable regression method. The results show that the cutting force deceases with the increase of the cutting speed or with the decrease of the feed per tooth and the cutting depth. Cutting fluid has little effect on cutting force, and for surface roughness, the influence of cutting fluid is uncertain.

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.

Multi-Objective Optimization Strategy for Cutting Parameters Based on Controlling Face Milling Distortion

2012 ◽  
Vol 159 ◽  
pp. 165-169
Author(s):  
Dong Hong Tang
Keyword(s):  
Cutting Parameters ◽  
Face Milling ◽  
Parameters Optimization ◽  
Particle Swarm Algorithm ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Machining Distortion ◽  
Svm Model ◽  
Set Up ◽  
Cutting Parameters Optimization

Machining distortion analysis and control are the kernel problem in manufacturing industry recently. This paper take face milling as research object, a finite element model for 3D milling process is set up based on some key techniques including cutter feed trajectories representations, cutter tooth-workpiece engagement model etc; Then the optimum LS-SVM model which can express the transitive relationship between cutting parameters and distortion error is set up; The cutting parameters optimization model based on controlling the machining distortion is founded by seeing the optimum LS-SVM model as the main objective function, meanwhile, an effective multi-objective optimization algorithm is proposed by coupling particle swarm algorithm and gray relevancy analysis, this algorithm can change the multi-objective optimization problem into optimizing the gray relevancy value effectively. As an example, the feasibility of proposed machining distortion controlling approach is verified.

scholarly journals Grey Wolf Algorithm and Multi-Objective Model for the Manycast RSA Problem in EONs

Information ◽  
2019 ◽  
Vol 10 (12) ◽  
pp. 398
Author(s):  
Hejun Xuan ◽  
Lidan Lin ◽  
Lanlan Qiao ◽  
Yang Zhou
Keyword(s):  
Optical Networks ◽  
Optimization Model ◽  
High Performance ◽  
Uniform Design ◽  
Optimization Method ◽  
Research Field ◽  
Grey Wolf ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
High Efficient

Manycast routing and spectrum assignment (RSA) in elastic optical networks (EONs) has become a hot research field. In this paper, the mathematical model and high efficient algorithm to solve this challenging problem in EONs is investigated. First, a multi-objective optimization model, which minimizes network power consumption, the total occupied spectrum, and the maximum index of used frequency spectrum, is established. To handle this multi-objective optimization model, we integrate these three objectives into one by using a weighted sum strategy. To make the population distributed on the search domain uniformly, a uniform design method was developed. Based on this, an improved grey wolf optimization method (IGWO), which was inspired by PSO (Particle Swarm Optimization, PSO) and DE (Differential Evolution, DE), is proposed to solve the maximum model efficiently. To demonstrate high performance of the designed algorithm, a series of experiments are conducted using several different experimental scenes. Experimental results indicate that the proposed algorithm can obtain better results than the compared algorithm.

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

scholarly journals Optimization of the extraction and purification of Corydalis yanhusuo W.T. Wang based on the Q-marker uniform design method

BMC Chemistry ◽  
2020 ◽  
Vol 14 (1) ◽  
Author(s):  
Yongping Zhang ◽  
Zuhua Wang ◽  
Jian Xu ◽  
Fangfang Yang ◽  
Chuanyang Dai ◽  
...  
Keyword(s):  
Design Method ◽  
Uniform Design ◽  
Extraction And Purification ◽  
Uniform Design Method
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