Multi-Objective Optimization of Multi-Channel Spiral Twist Extrusion Process Using a Response Surface Approach and Finite Element Analysis

Author(s):  
D. Fouad ◽  
W. El-Garaihy ◽  
H. Salem ◽  
A. Moataz
Author(s):  
Lyu Wang ◽  
Yuan Yun ◽  
Bin Zhang ◽  
Tao Zhang

The multi-objective optimization for a nested flying vehicle (NFV) of space science experiments is carried out aiming at the launch weight, frequency response and vacuum effect. The parametric model and finite element analysis are adopted to implement the structural analysis. The NFV is optimized to enhance the performance in the space environment where the lunch weight and structural strength are key constraints to concern about. The CAX software, analysis models and algorithms are integrated based on ModelCenter framework which makes modeling, analyzing and optimization more convenient and efficient. The optimizer of ModelCenter is chosen to optimize the structural performance of NFV, including the total mass, maximum deformation caused by vacuum environment and frequency response. As to validate the results, both weighting method with gradient optimization algorithm and Genetic Algorithm (GA) for multi-objective optimization are used. The optimization results of NFV verify the approaches proposed in this paper can improve the performance of NFV and apply to the finite element analysis model.


2012 ◽  
Vol 184-185 ◽  
pp. 565-569 ◽  
Author(s):  
Peng Xing Yi ◽  
Li Jian Dong ◽  
Yuan Xin Chen

In order to improve the reliability of a planet carrier, a simulation method based on multi-objective design optimization was developed in this paper. The objective of the method was to reduce the stress concentration, the deformation, and the quality of the planet carrier by optimizing the structure dimension. A parametric finite element model, which enables a good understanding of how the parameters affect the reliability of planet carrier, was established and simulated by ANSYS-WORKBENCH. The efficiency of the design optimization was improved by using a polynomials response surface to approximate the results of finite element analysis and a screening algorithm to determine the direction of optimization. Furthermore, the multi-objective optimization was capable of finding the global minimum results in the use of the minimum principle on the response surface. Computer simulation was carried out to verify the validity of the presented optimization method, by which the quality and the stability of the planet carrier were significantly reduced and improved, respectively. The methodology described in this paper can be effectively used to improve the reliability of planet carrier.


Author(s):  
Li Hongling ◽  
Dong Yude ◽  
Qiu Lei ◽  
Sun Juxin

Tire burst is one of the hot issues in automobile market. Based on the tire burst problem of all-steel radial tire, the shear strain and strain energy density at the end of the belt layer are analyzed to extend the tire durability. A multi-objective optimization model was established by finite element analysis, and the function constraints conditions were set. The optimization scheme was determined using differential evolution (DE) method. The finite element simulation and the durability test of tire specimen show that tire performance has greatly improved after the optimization. The results show that the combination of the finite element analysis technique and the multi-objective optimization method can effectively reduce a lot of labor, material, and financial resources in the structural optimization of mechanical products.


2012 ◽  
Vol 538-541 ◽  
pp. 2712-2717 ◽  
Author(s):  
Qi Xin Sun ◽  
Ping Yuan Xi ◽  
Ren Jian Zhang

Abstract: Finite element analysis and fuzzy multi-objective optimization technique have been integrated to solve the die structure design of sheet metal forming by transforming fuzzy multi-objective problem into a normal optimization problem. A mathematical model of fuzzy optimization for bending die was established. A fuzzy goal set was constructed. The fuzziness of multi-objective functions and constraints were defined. The optimal solution and optimal constraint value of individual objective function in the feasible field were found using the genetic algorithms. An electronic part bending case shows that this approach is more effective and accurate than traditional finite element analysis method and the ‘trial and error’ procedure.


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