Cutting Parameters Optimization of Thin-Walled Workpiece Based on PSO and FEM

2012 ◽  
Vol 248 ◽  
pp. 408-412
Author(s):  
Li Li Qian ◽  
Wei Fang Chen ◽  
Wan Tai Ma
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Cutting Parameters ◽  
Parameters Optimization ◽  
Particle Swarm Algorithm ◽  
Maximum Deformation ◽  
Design Variables ◽  
Thin Walled ◽  
Cutting Parameters Optimization

An approach to optimize the cutting parameters based on Particle Swarm Algorithm(PSO) and Finite Element Method(FEA) was proposed. A cutting parameters optimization model was established whose design variables are the cutting parameters and objective function is to minimize the maximum deformation. PSO was used to optimize the cutting parameters and FEA was utilized to predict the machining deformation of the thin-walled workpiece. Finally, the entire technique was demonstrated in a case study. The simulation and experimental results show that the approach can be further employed into the practical machining situation.

Cutting Parameters Optimization of Thin-Walled Workpiece Based on Deflection Control

2009 ◽  
Vol 407-408 ◽  
pp. 448-451
Author(s):  
Wei Fang Chen ◽  
Jiu Hua Xu ◽  
Zheng Hua Shen ◽  
Hua Chen
Keyword(s):  
Genetic Algorithm ◽  
Finite Element Method ◽  
Finite Element ◽  
Iterative Method ◽  
Cutting Parameters ◽  
Optimization Method ◽  
Parameters Optimization ◽  
Prototype System ◽  
Thin Walled ◽  
Cutting Parameters Optimization

Thin-walled workpiece is prone to produce deformation in the process of machining because of cutting and clamping forces. In this paper, a model of cutting parameters optimization is proposed to control the deflection. The influence of deflection on nominal milling depth is taken into account and the machining deflection is computed by iterative method. Based on the optimization model, a prototype system is developed to optimize the cutting parameters for a thin-walled workpiece with the genetic algorithm and finite element method. Finally, a simulation example is used to demonstrate the feasibility of the cutting parameters optimization method. The simulation result can be further employed into practical machining situation.

Investigation on Milling Force with Tilt Angles in Milling Cr12MoV

2014 ◽  
Vol 800-801 ◽  
pp. 134-138
Author(s):  
Fei Liu ◽  
Cai Xu Yue ◽  
Xian Li Liu ◽  
Xin Min Feng ◽  
Jing Ma
Keyword(s):  
Finite Element ◽  
Finite Element Simulation ◽  
Cutting Parameters ◽  
Material Model ◽  
Hardened Steel ◽  
Parameters Optimization ◽  
Milling Force ◽  
Finite Element Software ◽  
Element Simulation ◽  
Cutting Parameters Optimization

Based on actual working condition, this paper takes the mold materials Cr12MoVwhich is widely used in car cover as research object, and uses the finite element software Deform 3D to establish three-dimensional finite element simulation model of milling hardened steel Cr12MoV process. Reliable material model, chip separation criterion and appropriate boundary conditions are applied. The finite element simulation of milling hardened steel is built with different tilt angles. Milling force of simulation results are verified through experiments.Changes in the milling force with tilt angle are discussed, which can provide certain reference for cutting parameters optimization of milling process and 3D finite element modelling in milling.

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.

Study on Precision Cutting Titanium Alloy Thin-Walled Parts Based on Finite Element Method

2011 ◽  
Vol 228-229 ◽  
pp. 453-457
Author(s):  
Ming Hai Wang ◽  
Zhong Hai Liu ◽  
Hu Jun Wang
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Titanium Alloy ◽  
Three Dimensional ◽  
Cutting Parameters ◽  
Machining Accuracy ◽  
Machining Parameters ◽  
Three Dimensional Model ◽  
Thin Walled ◽  
Element Method

With the development of aviation and aerospace industry, the performance requirement and part accuracy requirement of aviation engines are increasingly enhanced, and it is difficult to ensure machining accuracy and usage requirement by traditional machining technique. Therefore, the cutting performance and cutting parameter of aviation engine thin-walled parts are researched. Based on FEM (Finite Element Method), simulate cutting of titanium alloy thin-walled parts and analyze the cutting process of a three dimensional model under different cutting parameters so as to obtain the rules of the residual stress and deformation of titanium alloy thin-walled parts. The method referred to in this paper can be used to select the machining parameters of real aero-engine thin-walled, which is helpful to control deformation of workpiece and increase the machining efficiency.

Cutting Parameters Optimization of High-Speed Milling of Thin-Walled Graphite Electrode

2006 ◽  
Vol 315-316 ◽  
pp. 319-323 ◽  
Author(s):  
Z.L. Hu ◽  
Cheng Yong Wang ◽  
L. Zhou ◽  
H. Fu ◽  
J. Chen
Keyword(s):  
High Speed ◽  
Graphite Electrode ◽  
Cutting Parameters ◽  
Parameters Optimization ◽  
Main Process ◽  
Cutting Depth ◽  
High Speed Milling ◽  
Radial Depth ◽  
Thin Walled ◽  
Cutting Parameters Optimization

Graphite electrode material has been extensively used for thin-walled electrode manufacturing, due to its typical brittleness, HSM becomes the main process method to obtain higher productivity and good surface finish. According to the structure characteristics of the thin-walled graphite electrode and the problems arising in its high-speed milling, through high-speed milling experiments, researches have been done into the effect of the main cutting parameters on cutting forces, which include cutting speed, feed per tooth, radial cutting depth, axial cutting depth, down or up milling. Finally, cutting parameters optimization strategies of high-speed milling of thin-walled graphite electrode aiming to obtain higher efficiency and high quality are presented as follows: down-cut mode, moderate radial depth of cut and flat endmill should be adopted in high-speed milling of graphite electrode.

Post-buckling inelastic analysis of thin-walled metal members using the Generalised Beam Theory

2019 ◽  
Author(s):  
Miguel Abambres ◽  
Dinar Camotim ◽  
Miguel Abambres
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Beam Theory ◽  
Flow Theory ◽  
Promising Alternative ◽  
Inelastic Analysis ◽  
Post Buckling ◽  
Thin Walled ◽  
Shell Finite Element ◽  
Generalised Beam Theory

A 2nd order inelastic Generalised Beam Theory (GBT) formulation based on the J2 flow theory is proposed, being a promising alternative to the shell finite element method. Its application is illustrated for an I-section beam and a lipped-C column. GBT results were validated against ABAQUS, namely concerning equilibrium paths, deformed configurations, and displacement profiles. It was concluded that the GBT modal nature allows (i) precise results with only 22% of the number of dof required in ABAQUS, as well as (ii) the understanding (by means of modal participation diagrams) of the behavioral mechanics in any elastoplastic stage of member deformation .

Sign in / Sign up

Export Citation Format

Share Document