New inverse method for identification of constitutive parameters

A new inverse method by coupling iSIGHT and ABAQUS was proposed to determine the constitutive parameters of Al2O3sf/LY12 composite deforming at elevated temperature. It combined the merits of the f＇mite element simulation and optimization technique. The direct model was simulated with finite element code ABAQUS. The inverse problem associated with the identification of the constitutive parameters was expressed as a least square optimization problem. The direct simulation and the parameters optimization were implemented in iSIGHT integrated environment. The aim was to match the output of the direct simulation with the experiment data. The capability of the proposed inverse method was demonstrated through the identification of constitutive parameters of Al2O3sf/LY12 composite. The proposed new inverse method is also applicable to other parameters identification which is hardly determined through experiments or direct analytical method.     

Optimal rapid multidisciplinary response networks: RAPIDDISK

The role of uncertainty in information rich design systems is critical to the development of advanced propulsion systems. Future turbine engines would have lower lifetime operating costs similar to current evolving automotive systems. Detailed multi-physics models (thermo-fluid, structural and mechanical systems) and an operational environment are enablers of rapid correction and model-based predictive analyses. Bayesian machine learning paradigms are developed to identify the behavior of turbo-machinery components for preliminary design. The embedded models approach enables systematic evolution from individual components level to the advanced engine. The embedded models approach enables systematic evolution from individual components level to the advanced engine. A rapid response strategy is proposed, for design of turbine disks by using multidisciplinary optimization and neural networks. iSIGHT optimization software is interfaced with ANSYS to find optimum designs for a given set of design boundary conditions (rpm, live rim load, thermals, etc.). The optimum designs obtained from iSIGHT for different set of design conditions are used for machine learning and design knowledge recognition using the neural network technique. The trained network is used to predict responses for design boundary conditions. Responses predicted by the neural network are validated using ANSYS. Discrete design points are chosen from the wide design space of turbine disks. A hierarchical neural network approach provides an ability to quickly train the network and predict responses (weight, stresses, burst margin, etc.) for applied design conditions. This basic building process involves four steps starting from identifying design boundary conditions to the prediction of design shape for the disk. Sensitivity-based scaling rules are developed, to accommodate different materials for the disk. The technique is developed in RAPIDDISK, which provides an optimal preliminary shape and design attributes for a turbine disk.     

基于iSIGHT的单学科设计优化与多学科设计优化的比较

研究了单学科设计优化技术和多学科设计优化技术,在iSIGHT和Ansys软件集成环境下,对CellPhone进行优化.单学科设计优化平台和多学科设计优化平台得出的优化结果进行了比对,验证了多学科设计优化平台的先进性和全面性.     

基于组合优化方法的UUV耐压壳体优化设计研究

无人水下航行器(UUV)的壳体重量大小直接影响到其整体性能。只采用一种优化方法进行耐压壳体结构优化设计很难得到真正的全局最优解,笔者以自适应模拟退火算法、多岛遗传算法和序列二次规划算法为基础,建立了两种不同的组合优化方法,在一定程度上能够确保解的全局最优性。基于该组合优化方法,利用iSIGHT软件,集成自编的肋骨加强薄壁壳体结构的应力及稳定性计算程序,对无人水下航行器(UUV)耐压壳体结构进行优化设计。通过对优化设计前后耐压壳体结构的强度、稳定性及重量进行比较分析,结果表明:采用组合优化算法优化设计得到的无人水下航行器(UUV)耐压壳体在满足壳体结构强度和抗压稳定性要求下,壳体重量极大程度地降低,实现了结构优化。     

HYDROSTATIC PRESSURE CALCULATION AND OPTIMIZATION FOR DESIGN OF BEAM ＆ SLIDE-REST GUIDEWAYS IN HEAVY DUTY CNC VERTICAL TURNING MILL

Aiming at the approximate error of commonly used methods on calculation of hydrostatic pressures of closed hydrostatic guideways with multiple pockets, a more accurate solution is proposed. Taking design of beam & slide-rest guideways for a heavy duty CNC vertical turning mill as an example, under an assumption that stiffnesses of guideways and their jointing structure are sufficiently large, the pressures of the pockets can be attained by adding a co-planarity equation that con strains pocket centers. Then, an optimization model is built to minimize the highest pocket pressure under additional constraints that are posed on the highest seal margin pressure, the highest levitating pressure of the pockets, and the maximum deformation of the guideways. The optimization problem is solved sequentially by using the methods of design of experiments and adaptive simulated annealing on iSIGHT software platform. The results show significant improvements to the original design. Optimized maximum hydrostatic pressure meets the requirement of hydraulic system.     

iSIGHT在运载器出水弹道优化设计中的应用

在无动力潜射导弹运载器大深度发射出水弹道设计中,由于设计参数众多,约束条件复杂,手工进行时序弹道控制方案设计与调优是一件十分繁琐的工作,需要很多的经验与技巧,且不能保证获得最优控制方案。该文采用多学科集成优化设计软件iSIGHT对出水弹道控制方案优化设计进行了建模与研究,不仅实现了设计过程的自动化,提高了设计效率,而且获得了性能优化的出水弹道控制方案,为运载器出水弹道性能的改进设计提供参考。     

iSIGHT在鱼雷鳍舵优化设计中的应用研究

在解决鳍舵优化设计问题的过程中,引入集成优化框架iSIGHT,利用iSIGHT的优化迭代计算功能得到一种基于iSIGHT的鱼雷鳍舵优化设计方法,并将得到的设计方案与相同初值条件下通过传统方法得到的设计方案进行了分析和比较。分析比较的结果证明:用基于iSIGHT的优化设计方法来解决鱼雷鳍舵设计优化问题是可行的,并且能得到令人满意的设计方案。     

基于iSIGHT的主轴动静态性能优化设计方法

主轴的变形和振动是影响机床加工质量和切削效率的主要因素之一.为提高主轴的静动态性能,提出了一种基于iSIGHT多学科优化集成软件环境的主轴结构优化设计方法和系统仿真流程.利用iSIGHT和APDL构建了一套结构优化集成系统,实现机床主轴的多目标优化设计.针对某型号卧式加工中心的主轴,应用自适应模拟退火算法对其结构参数进行优化.分析结果表明机床主轴动静态性能有一定程度的提高,优化方法是可行有效的.     

基于iSIGHT的工程陶瓷磨削加工参数优化研究

利用iSIGHT软件实现了陶瓷磨削加工过程的参数优化。以材料去除率为优化目标给出了具体实现步骤,对比了2种优化算法对目标结果的影响,指出在磨削加工参数优化问题上采用多岛遗传算法更加有效。且对磨削加工的参数选择具有一定指导作用。     

基于ANSYS和iSIGHT的磁悬浮轴承结构优化设计

以8极径向主动磁悬浮轴承为例,提出了一种使用多学科优化软件iSIGHT与通用有限元软件ANSYS集成的分析方法。首先应用ANSYS建立相应的模型并对其进行仿真,得出该轴承的一些参数,在此基础上将参数及模型集成到多学科优化软件iSIGHT中,采用NLPQL算法对该模型进行多目标优化设计,在指定的约束条件下得出了磁悬浮轴承结构的最优尺寸。