scholarly journals Fast Optimization Design of the Flexure for a Space Mirror Based on Mesh Deformation

Photonics ◽  
2021 ◽  
Vol 8 (12) ◽  
pp. 567
Author(s):  
Fengchang Liu ◽  
Wei Li ◽  
Weiguo Zhao ◽  
Xiaodong Wang ◽  
Xiaoyu Wang
Keyword(s):  
High Performance ◽  
Optimization Design ◽  
Optimization Method ◽  
Surface Shape ◽  
Mesh Deformation ◽  
Shape Error ◽  
Element Analysis ◽  
Space Applications ◽  
Fast Optimization ◽  
Assembly Error

According to the requirements of high force-thermal stability and high performance of a space telescope, a space mirror assembly must not be influenced by environmental factors. In this study, a space mirror assembly under load conditions, such as gravity, thermal, and assembly error, is considered. After the mirror is optimized, the surface shape error is reduced by 22%, and the mass is increased by 0.113 kg. In order to improve the efficiency of integration optimization, we present a fast optimization method using mesh deformation to be applied to the flexure. The size parameters of flexure and axial mount position are obtained by optimization. With our method, the single optimization time reduces from 10 min to 40 s, which can improve the efficiency of multi-objective optimization. The mirror assembly is fabricated and assembled based on optimization results. Finite element analysis (FEA) and test results for the space mirror assembly confirm the validity and feasibility of the fast optimization method, and we believe that the flexure based on fast optimization meets the requirements of a space mirror assembly for space applications.

Optimization Design of High-Performance Concrete Based on Genetic Algorithm Toolbox of Matlab

2011 ◽  
Vol 250-253 ◽  
pp. 2672-2677 ◽  
Author(s):  
Xian Song Xie ◽  
Dong Jin Yan ◽  
Yue Zhai Zheng
Keyword(s):  
Genetic Algorithm ◽  
High Performance ◽  
Optimization Design ◽  
High Performance Concrete ◽  
Economic Cost ◽  
Mathematic Model ◽  
Optimization Method ◽  
Engineering Practice ◽  
Mix Proportion ◽  
Save Energy

Genetic algorithm is a non-numerical optimization method which based on natural selection and population genetics.Using genetic algorithm to optimize the mix proportion design of high performance concrete, it takes into account the economic profitability on the foundation of satisfying the requirements of durability, strength, workability and dimensional stability of concrete, it establishes a mathematic model applying the performance of material as constraint condition, and the economic cost as optimization target.Using binary coding to represent the chromosome bit serial of individual, through selection, crossover, mutation and other genetic operator to conduct global probability search, taking the principle of “survival of the fittest”, finally achieve the best population and individual. Compare the results of optimization with the mix proportion in practice engineering case, we can reach the conclusion that Genetic Algorithm could reduce the cost, save energy, provides better use value on engineering practice.

scholarly journals Research on cogging torque optimization design of permanent magnet synchronous wind turbine

2021 ◽  
Vol 300 ◽  
pp. 01001
Author(s):  
Lei Chen ◽  
Zuoxia Xing ◽  
Bowen Zhu ◽  
Dongrui Wang ◽  
Yuzhang Gao ◽  
...  
Keyword(s):  
Permanent Magnet ◽  
Optimization Design ◽  
Optimization Method ◽  
Skew Angle ◽  
Element Analysis ◽  
Cogging Torque ◽  
Operating Stability ◽  
Optimal Value ◽  
Before And After ◽  
Two Parameters

Cogging torque is one of the unique problems of permanent magnet generators. Its main cause is the uneven distribution of the generator’s magnetic permeability, which directly affects the starting and running performance of the generator. The study of cogging torque suppression methods is of great significance for improving the operating stability and service life of generators. Through the analysis of the principle of cogging torque, an optimization method for the amplitude of cogging torque based on Taguchi algorithm for the two parameters of pole arc coefficient and skew angle is established. And the finite element analysis method is used to quantitatively compare the characteristic parameters of the generator model before and after the optimization by Taguchi algorithm. The results show that when the pole arc coefficient and the angle of the chute are in the optimal value at the same time, the cogging torque of the generator can be greatly reduced, and its air gap magnetic density waveform and induced electromotive force waveform are ideal, which provides a research method for the design and parameter optimization of large megawatt permanent magnet synchronous wind turbines.

Design of Stress Relief Groove on a Press-Fitted Assembly

2013 ◽  
Vol 753-755 ◽  
pp. 1339-1342 ◽  
Author(s):  
Dong Hyong Lee ◽  
Ha Young Choi ◽  
Chang Yong Song ◽  
Bong Gu Lee
Keyword(s):  
Contact Pressure ◽  
Optimization Design ◽  
Stress Relief ◽  
Optimization Method ◽  
Optimal Size ◽  
Element Analysis ◽  
Relief Groove ◽  
The Cost ◽  
Approximation Optimization ◽  
Maximum Contact

The objective of this study is to propose the effective method of reducing the maximum contact pressure at the contact edge of press-fitted shaft by optimizing the location and the size of stress relief groove in hub face. Finite element analysis was performed in order to determine the contact pressure and stress state on a press-fitted assembly and optimization were applied to select optimal size and location of stress relief groove. In order to reduce the cost of optimization design, approximation optimization method is used and the optimum results obtained by Sequential Quadratic Programming and genetic algorithm are compared. Optimized results show that the maximum contact pressure at the contact edge of press-fitted shaft with optimal stress relief groove decreased about 30%. And the both optimization algorithms can effectively reduced the maximum contact pressure at the contact edge of press-fitted shaft.

scholarly journals Optimization Design of an Axial Split-Phase Bearingless Flywheel Machine with Magnetic Sleeve and Pole-Shoe Tooth by RSM and DE Algorithm

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1256 ◽  
Author(s):  
Zhiying Zhu ◽  
Jin Zhu ◽  
Hailang Zhu ◽  
Xi Zhu ◽  
Yajie Yu
Keyword(s):  
Response Surface ◽  
Optimization Design ◽  
Least Square Method ◽  
Basic Structure ◽  
Optimization Method ◽  
Tooth Profile ◽  
Least Square ◽  
Initial Structure ◽  
Element Analysis ◽  
De Algorithm

In order to improve the suspension and torque performance of a bearingless flywheel machine, a new type of axial split-phase bearingless flywheel machine with a magnetic sleeve and pole-shoe tooth is analyzed and optimized as described in this paper. Based on the basic structure and working characteristics of the machine, the response surface methodology (RSM) and differential evolution (DE) algorithm are adopted to further optimize the parameters of the stator teeth of the machine to improve the radial space utilization and motor output performance. Firstly, the Box–Behnken design (BBD) and finite element analysis (FEA) are combined to select the representative optimization parameter combinations to establish the sample data space, and the response surface models of machine torque and suspension force are established using the least square method. Besides this, the DE algorithm is employed to obtain the optimal tooth profile parameter configuration for the multi-objective optimization of machine performance. Finally, the output performances of the machine before and after optimization are compared under initial and optimized winding turns. The results show that, compared with the initial structure, the average torque and suspension force of the optimized machine increase by 36.46 % and 108.22% respectively, which demonstrates the effectiveness of the tooth profile optimization method. At the same time, an experimental prototype is also produced, laying the experimental foundation for further practical exploration.

scholarly journals The Optimization Design of Short-Term High-Overload Permanent Magnet Motors Considering the Nonlinear Saturation

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3272 ◽  
Author(s):  
Yu-Xi Liu ◽  
Li-Yi Li ◽  
Ji-Wei Cao ◽  
Qin-He Gao ◽  
Zhi-Yin Sun ◽  
...  
Keyword(s):  
Permanent Magnet ◽  
High Performance ◽  
Optimization Design ◽  
Magnetic Energy ◽  
Permanent Magnet Synchronous Motor ◽  
Industrial Applications ◽  
Operating Conditions ◽  
Nonlinear Saturation ◽  
Short Term ◽  
Element Analysis

Electric actuators with fast dynamic response and high torque density are widely used in aerospace and industrial applications. In this paper, the design and optimization of a short-term high-overload permanent magnet synchronous motor (STHO-PMSM) is presented. The rated working point is optimized according to the operating conditions of the motor. The effect of electromagnetic load on the extreme torque which mainly include ampoule number and the magnetic energy of the PM is researched. Due to the nonlinear saturation influence, the equivalent magnetic network model is established. The saturation torque discount factor is proposed to quantify the degree of the core magnetic saturation. Winding temperature model is presented to inspect the motor reliability. To verify the feasibility and accuracy of mathematical model analysis (MMA), the performance of the motor in different currents is investigated compared to the finite element analysis (FEA). A prototype motor is manufactured and tested. The results of the MMA, FEA, and experiment show that the designed motor can achieve the high performance with the 10 times overload in a short time. The method of the MMA can relatively accurately predict as well as take less time consumption.

Research on Topology Optimization Design Based on Finite Unit Analysis of the Flywheel Hub

2014 ◽  
Vol 889-890 ◽  
pp. 467-473
Author(s):  
Pi Yan He ◽  
Jia Yang
Keyword(s):  
Finite Element Analysis ◽  
Topology Optimization ◽  
Structural Optimization ◽  
Optimization Design ◽  
Optimization Method ◽  
Normal Functioning ◽  
Optimization Analysis ◽  
Element Analysis ◽  
Evolutionary Structural Optimization ◽  
Security Configuration

Topology optimization design is to ensure the normal functioning of the machine, remove the invalid element structure makes the best structure to maintain the structure and keep the stress or strain level close to the same in each part of the security configuration, the pursuit of the best efficiency, lightest weight , smallest, or the longest service life and so on. Traditional structural optimization design one or several parameters set as the primary determination. This method only to the extent required. With the development and analysis of the efficiency of the computer, we have introduced in the design of finite element analysis. This article uses the basic evolutionary structural optimization method In this paper, load the hub topology optimization analysis of different groups.

Engineering Applications of Satellite Structural Optimization Utilizing ANSYS/CATIA

2011 ◽  
Vol 110-116 ◽  
pp. 1567-1575
Author(s):  
Jia Mao ◽  
Wei Hua Zhang
Keyword(s):  
Optimization Design ◽  
Parametric Design ◽  
Reference Value ◽  
Optimization Method ◽  
Design Parameters ◽  
Element Analysis ◽  
Fea Model ◽  
Satellite Platform ◽  
Weight Design ◽  
Work Done

A structured frame for the design optimization problem of satellite platform structure was established through the definition, flow and modification research of design parameters in the ANSYS/CATIA system. Problems with creating complex satellite structure FEA (Finite Element Analysis) models were discussed, including the idealization of real structure, as well as embedment of APDL (ANSYS Parametric Design Language) programme developed specially for the pre-processing and post-processing of FEA model. The optimization model was established under structural design requirements, and a graded optimization method was applied for calculation. Light-weight design schemes for two satellite platform structure were obtained through the subsequently optimization implemented using approaches put forward previously. The optimization design problems of two satellite platform structure were settled well, and work done in this paper provides certain reference value for optimization of other spacecraft structures.

Gear Stress Analysis and Discrete Optimization for Wheel-Legged Rover

2012 ◽  
Vol 479-481 ◽  
pp. 2511-2516
Author(s):  
Hong Bing Huang ◽  
Yong Ming Wang ◽  
Tong Hua Fan
Keyword(s):  
Stress Analysis ◽  
Discrete Optimization ◽  
Optimization Design ◽  
Parametric Design ◽  
Planetary Gear ◽  
Optimization Method ◽  
Prototype Model ◽  
Analysis Model ◽  
Element Analysis ◽  
Gear Trains

The wheel-legged rover with a double-half-revolution mechanism uses two tandem planetary gear trains to drive. Its virtual prototype model was built in COSMOS Motion software, and the mechanical data of each gears of the wheel-legged rover were obtained by dynamic simulation under the typical working conditions. On this basis, the finite element analysis model of the wheel-leg planetary gear was established and its stress analysis was done. The discrete optimization mathematical model was built with the optimization target of minimizing the rover’s wheel-leg planetary gear volume and the constraint condition of keeping the Mises stress applied on the dedendum under the admissible Mises stress. Based on ANSYS Parametric Design Language (APDL), the optimization design was done for the above gear based on discrete optimization method. The result shows that the optimized gear not only meets the strength requirement, but also its weight is 58% lower than the original, which will provide a new effective method for optimizing the wheel-leg structure of the rover.

Optimization Design on Ribbed Slab for Crossbeam of Heavy NC Gantry Moving Boring & Milling Machine

2011 ◽  
Vol 121-126 ◽  
pp. 3386-3390
Author(s):  
Gui Hua Han ◽  
Bing Wei Gao ◽  
Yun Fei Wang ◽  
Gui Tao Sun ◽  
Di Wu ◽  
...  
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Optimization Design ◽  
Reference Value ◽  
Optimization Method ◽  
Structure Design ◽  
Milling Machine ◽  
Element Analysis ◽  
The Finite Element Analysis

In order to improve the dynamic characteristics of crossbeam of heavy NC gantry moving boring & milling machine, the ribbed slab structure of beam were analyzed and optimized with the finite element analysis software, and the comprehensive optimization method of the number, size and layout of ribbed slab were putted forward based on the classification of ribbed slab structure. According to the result of the finite element analysis, the internal type and horizontal spacing of ribbed slab are optimized to get the best number, spacing, thickness and height of ribbed slab; Under the required intensity, stiffness and stability conditions materials are distributed reasonably to reduce beam weight which make little deformation and the uniform stress distribution. The comprehensive optimization method study has reference value for ribbed slab structure design.

Parallel Computing for Tire Simulations

2011 ◽  
Vol 39 (3) ◽  
pp. 193-209 ◽  
Author(s):  
H. Surendranath ◽  
M. Dunbar
Keyword(s):  
High Performance ◽  
Effective Means ◽  
Cost Effective ◽  
Turnaround Time ◽  
Careful Consideration ◽  
Rolling Contact ◽  
Element Analysis ◽  
Parallel Solvers ◽  
Design Changes ◽  
Highly Nonlinear

Abstract Over the last few decades, finite element analysis has become an integral part of the overall tire design process. Engineers need to perform a number of different simulations to evaluate new designs and study the effect of proposed design changes. However, tires pose formidable simulation challenges due to the presence of highly nonlinear rubber compounds, embedded reinforcements, complex tread geometries, rolling contact, and large deformations. Accurate simulation requires careful consideration of these factors, resulting in the extensive turnaround time, often times prolonging the design cycle. Therefore, it is extremely critical to explore means to reduce the turnaround time while producing reliable results. Compute clusters have recently become a cost effective means to perform high performance computing (HPC). Distributed memory parallel solvers designed to take advantage of compute clusters have become increasingly popular. In this paper, we examine the use of HPC for various tire simulations and demonstrate how it can significantly reduce simulation turnaround time. Abaqus/Standard is used for routine tire simulations like footprint and steady state rolling. Abaqus/Explicit is used for transient rolling and hydroplaning simulations. The run times and scaling data corresponding to models of various sizes and complexity are presented.

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