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design of experiment
相关语句
  试验设计
    According to the result of design of experiment of ADAMS, the relation of the optimize target and size of the mechanism components is obtained.
    根据ADAMS软件的试验设计结果得到优化目标(输出齿轮的步进转角)与机构各构件尺寸的变化趋势图。
短句来源
    The sample data used to train neural networks were schemed according to design of experiment theory, the application of two kinds of neural networks-back propagation network and radial basic function network were investigated in detail, and a new optimization method was proposed.
    针对评价函数计算量太大的问题,根据试验设计理论安排训练样本,采用神经网络建立设计变量与目标函数间的复杂的响应关系,并且详细研究了反向传播和径向基函数2种网络在对评价函数进行预测过程中的应用,建立了一种新的叶片优化设计方法.
短句来源
    A three-dimensional optimization design system of torque converter cascade is developed, including meanline initial value searching, torus and vanes parameterization, grid generation, CFD analysis, design of experiment and optimization algorithm, and for each segment a corresponding design tool is presented.
    为实现液力变矩器叶栅系统的完全三维设计及其优化,开发了一套包含束流初值搜索、循环圆与叶形的参数化设计、网格划分、流场分析、试验设计和优化算法在内的三维优化设计系统,并且为各环节开发了相应设计工具。
短句来源
    Design of experiment and global optimization algorithm are integrated in the system to enhance optimization robustness and accelerate convergence.
    优化设计采用试验设计与全局优化算法相结合以提高设计的稳健性,加速收敛。
短句来源
    A three-dimensional optimization design system of torque converter cascade is developed, including meanline initial value searching, torus and vanes parameterization, grid generation, CFD analysis, design of experiment and optimization algorithm, and for each segment a corresponding design tool is presented.
    为实现液力变矩器叶栅系统的完全三维设计及其优化,开发了一套包含束流初值搜索、循环圆与叶形的参数化设计、网格划分、流场分析、试验设计和优化算法在内的三维优化设计系统,并且为各环节开发了相应设计工具。
  实验设计
    RBF neural networks were adopted to construct the response relation between the design variable and the objective function, and the training sample data were schemed according to the design of experiment theory. As there was many design variables and the design space was very large, a new subset based approach was proposed.
    在设计空间内根据实验设计理论安排神经网络的训练样本,选择径向基函数网络建立设计变量和目标函数间复杂的响应关系,利用遗传算法进行优化。
短句来源
  “design of experiment”译为未确定词的双语例句
    Design of Experiment System of Magnetic Suspension Bearing
    磁悬浮轴承实验系统的设计
短句来源
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  design of experiment
Optimization of Atmospheric Plasma Spray Process Parameters using a Design of Experiment for Alloy 625 coatings
      
Grit blast media, blast pressure, and working distance were varied using a Box-type statistical design of experiment (SDE) approach.
      
A statistical design of experiment approach was used and the results were analyzed using both the linear regression method and average response of factors calculations.
      
A design of experiment study of plasma-sprayed alumina-titania coatings
      
These nanostructures are synthesized by an electrospinning technique wherein the process parameters are varied through a design of experiment (DoE) methodology.
      
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A concept of robustness into the optimal specification of Flexible Manufacturing Systems (FMS) is introduced and an effective method to realize the robust design is presented. The Response Surface Model of FMS is drafted combining the design of experiments, simulation experiments, and analysis of data by this method, The robust and optimal specification of FMS is realized through optimizing the model. The proposed approach is also demonstrated by determining the robust and optimal specification...

A concept of robustness into the optimal specification of Flexible Manufacturing Systems (FMS) is introduced and an effective method to realize the robust design is presented. The Response Surface Model of FMS is drafted combining the design of experiments, simulation experiments, and analysis of data by this method, The robust and optimal specification of FMS is realized through optimizing the model. The proposed approach is also demonstrated by determining the robust and optimal specification of an engineering instance. And the result shows that the method not only can realize the robust design of FMS, but also is general to the initial design of other complicated systems.

为将稳健设计引入到柔性制造系统的优化配置中,提出了一种可实现柔性制造系统稳健性优化配置的集成设计方法。该方法结合实验设计、仿真实验和数据分析,拟合出系统的响应曲面模型。通过对模型的优化处理,实现柔性制造系统稳健性优化配置。针对一个工程实例,给出了这种集成设计方法的具体实现过程。结果表明这种方法是有效可行的,对于复杂系统的稳健设计具有一定的适用性。

The ordinary parameterization programs of three-dimensional blade contain a great deal of design variables, therefore an indirect parameterization method was proposed, where the angular momentum was treated as design variables, the blade was calculated by inverse design method, and neural networks were adopted to construct the response relation between the design variable and the objective function. The sample data used to train neural networks were schemed according to design of experiment theory, the...

The ordinary parameterization programs of three-dimensional blade contain a great deal of design variables, therefore an indirect parameterization method was proposed, where the angular momentum was treated as design variables, the blade was calculated by inverse design method, and neural networks were adopted to construct the response relation between the design variable and the objective function. The sample data used to train neural networks were schemed according to design of experiment theory, the application of two kinds of neural networks-back propagation network and radial basic function network were investigated in detail, and a new optimization method was proposed. Compared with the ordinary optimization programs, fewer variables were required in this method based on the three-dimensional viscous computational fluid dynamics(CFD) analysis and the calculation time was shortened obviously. An optimized blade in a mixed-flow pump, where the head and the efficiency were selected as the objective functions, confirms the validity of this newly proposed method.

针对三元扭曲叶片优化设计过程中设计变量较多的问题,采用动量矩为设计变量,再通过反问题计算得到叶片来间接对叶片进行参数化;针对评价函数计算量太大的问题,根据试验设计理论安排训练样本,采用神经网络建立设计变量与目标函数间的复杂的响应关系,并且详细研究了反向传播和径向基函数2种网络在对评价函数进行预测过程中的应用,建立了一种新的叶片优化设计方法.与传统的优化方法相比,其设计变量数目较少,以叶轮内的三维粘性流动分析为基础且大大缩短了计算时间.利用此方法对一台混流泵的扬程和效率进行优化,所得叶片性能良好,从而验证了此方法的有效性.

The blade in a mixed-flow pump was optimized based on three dimensional viscous flow analysis and neural networks with the blade angle being treated as design variable and the efficiency being treated as objective function. RBF neural networks were adopted to construct the response relation between the design variable and the objective function, and the training sample data were schemed according to the design of experiment theory. As there was many design variables and the design space was...

The blade in a mixed-flow pump was optimized based on three dimensional viscous flow analysis and neural networks with the blade angle being treated as design variable and the efficiency being treated as objective function. RBF neural networks were adopted to construct the response relation between the design variable and the objective function, and the training sample data were schemed according to the design of experiment theory. As there was many design variables and the design space was very large, a new subset based approach was proposed. Firstly, the design variables were divided into several groups, and a subset was formed in each group. Then, in each subset, part of the blade was optimized respectively and independently. Finally, the whole blade was optimized with the effect of each subset being taken into account. An optimized blade in a mixed-flow pump, where te efficiency was highly improved, confirms the validity of this newly proposed method.

以叶片角的分布为优化变量,叶轮效率为优化目标,将三维粘性流动分析与神经网络相结合对混流泵叶片进行了优化设计。在设计空间内根据实验设计理论安排神经网络的训练样本,选择径向基函数网络建立设计变量和目标函数间复杂的响应关系,利用遗传算法进行优化。针对研究对象设计变量较多、变化范围较大的问题,提出子系统优化的初步思想,即:将优化变量进行分类,对每类变量建立子系统,分别在子系统内进行局部优化,然后再考虑子系统之间的相互影响进行全局优化。对一混流泵的三元扭曲叶片进行优化,叶轮效率明显提高,从而验证了该方法的简便性与有效性。

 
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