在建立CAM切削数据库中回归正交设计方法的应用

介绍了在建立ＣＡＭ切削数据库中按多元线性回归正交设计方法进行了切削试验，确立切削速度，进给量，切削深度和刀具耐用度之间的关系的原理和应用实例。指出该方法具有试验次数少，准确度高的优点，是建立ＣＡＭ数据库切削用量数据文件的经济而有效的方法。     

电容层析成像系统传感器参数优化——基于正交试验设计法

介绍了电容层析成像系统的工作原理及数学模型,采用有限元分析对传感器灵敏度分布进行仿真,分析了系统中各个传感器参数对传感器性能的影响,提出传感器性能评价函数,并基于正交试验设计确定了一组优化参数,为电容层析成像系统中传感器的设计提供了参考依据。     

用正交实验法优化多晶硅制备工艺参数

在研制多功能集成压力传感器过程中,对关键材料多晶硅来说,制备的工艺条件对其性能影响较大。讨论了沉积温度、反应气体流量和反应室工作压力对多晶硅的沉积速率、晶粒大小和表面粗糙度的影响程度。设计出正交试验,以优化出不同性能要求的多晶硅制备工艺参数。     

正交设计L9(34)的渐进优化线性回归方法

本文提出1种新的分析正交设计实验方法,在不增加试验次数的前提下同时考察各因素单项、相互项及平方项对实验结果的影响.还提出1种在线性回归过程中各项的淘汰-增加-回归循环的优化参数方法,解决了长期困扰科技工作者对回归方程中各项影响凼素的取舍难题.具体做法为:利用水平编码方式,改造正交设计L9(34),再扩展,增加所有可能相互作用的列和平方列.试验后,基于正变设计L9(34)扩展后的影响因素(含单项、相互作用项、平方项)与实验结果之间的线性回归.回归过程中逐步淘汰影响不显著的项目,同时增加第1步尚未包括的项目,然后2次回归.不断重复淘汰-增加-回归循环,直到同归方程与实验数据拟合较好为止(复相关系数R的显著性水平0.05或更低).实例说明这方法是行之有效的.此外,同归方程在各因素取值范围内求最大值所获得的最佳条件,已远远优于直观分析获得的最优条件组合.最后,编码回归方程考察的项目更加全面.     

一个正交旋转及回归分析设计方案的研究与实现

本文阐述了正交旋转及回归分析的设计思想和数学模型，给出了运用这种设计求解复杂系统的方法及相应的软件实现方案．     

冷加工即食棒配方的SPSS正交设计优化

采用正交设计方法对冷加工即食棒的配方进行优化。选择蛋白质原料配比、碳水化合物原料配比、甘油、卵磷脂为考察因素,以产品硬度为指标,用感官评价方法进行评分。试验设计及数据处理运用SPSS17.0软件。结果表明,最优的蛋白质原料配比为乳清蛋白:大豆分离蛋白:胶原蛋白:豌豆蛋白=2:1:0.5:0.5;最优碳水化合物原料配比为葡萄糖:麦芽糖浆:山梨糖醇=1:2:1;主要辅料甘油4.1%,卵磷脂1.6%。以此优化配方制得的即食棒常温条件贮存720天,其硬度增加值明显小于非优化配方产品。     

基于虚拟正交试验的磁感应测速线圈参数优化

为提高磁感应线圈传感器测量弹丸高速运动的动态响应性能,研究了磁感应测速线圈系统特性与线圈几何参数之间的关系.根据正交试验设计的方法,基于Ansoft仿真软件,计算出不同几何参数下线圈特性的输出,并最终确定了一组用相对最优的线圈几何参数.实验测试结果表明:优化后的磁感应线圈提高了线圈输出的信噪比和输出灵敏度,有利于提高测速精度.     

SPSS软件在正交试验设计、结果分析中的应用

本文简要介绍了正交设计的优点及使用现状：提出了改进的建议。并阐述了利用SPSS软件进行正交试验设计、结果分析的方法。力求为广大科技人员利用SPSS软件快速实现正交试验设计、结果分析提供帮助。     

表面细分的最优方法的分析与设计

基于模型上采集的非组织的样本点数据,给出了一个非线性至少平方的表面细分的完整框架。通过研究和分析三个几何上最优的表面细分的方法：点距离最小、切线距离最小、平方距离最小,来揭示它们的相交性与稳定性,以及非线性约束最优化的内部联系。对于点距离最小方法的分析,它是切线下降的变体,因此,只有线性相交。对于切线距离最小方法,它是接近二次相交零余留的问题,也有可能没有相交。平方距离最小方法,可以通过牛顿公式得到,并且是三种方法中相对最优的。通过对这三种方法的研究,来保证表面细分稳定地相交,且解决了对最优方法的争议。     

基于回归正交试验设计的弹翼结构优化设计

如何在设计空间域中寻找翼型的最优尺寸,是优化导弹战术技术性能指标的有效有段.卷弧翼弹弹翼结构优化设计涉及到多因素多水平问题,采用回归正交试验设计方法可以有效地减少试验次数,并进而完成结构优化设计.文中通过回归正交试验设计方法建立了卷弧翼弹弹翼结构设计的一阶响应面模型,并进行了方差分析,采用SQP算法对有约束的非线性规化问题进行寻优计算,得到了翼型的一阶响应面模型的最优解.所采用的方法和思想也适用于一般导弹外形的结构优化设计.     

正交演化算法在继电器体积优化设计中的应用

继电器产品的优化设计是在给定的负载条件或环境条件下,在对继电器产品的性态、几何尺寸关系或其他因素限制约束范围内,确定设计参数、目标函数、约束条件以形成优化设计模型,并选择恰当的优化方法以获得最佳设计方案的一系列工作。继电器的体积数学模型涉及到机、电、磁、热等方面,其目标函数和约束函数均是高度非线性的。传统演化算法求解问题时容易陷入局部极小值。在简单演化算法的基础上,结合正交实验法的基本思想,将其应用于演化算法的种群初始化、交叉算子,并引入自适应正交局部搜索来防止局部收敛,得到了一种新型的正交演化算法。通过一系列数值实验验证了该算法的高效性。     

Optimum design of structures composed of metal and composite materials

This paper describes a general program system in the optimum design of structures. The element library in the program system consists of a bar (BAR), a shear trapezoidal panel (STP), a constant strain triangle (CST), a plate linear isoparametric element (PLIE), and a beam element in a plane (BEAM). The structural design procedure is performed by combining finite element analysis and hybrid approximation technique with dual solutions. It is suitable for structures with various materials (metal, composite, etc.), especially the structures of the aircraft (wing, tail, fuselage, etc.). Five examples show that the computer program system is capable of generalized applicability.     

A design environment for laminated fiber-reinforced thick composite materials

The research described herein concerns the integration of several components of engineering software using a relational database. More specifically, a conceptual finite element material preprocessing system for laminated fiber-reinforced thick composite materials is studied. In this computer-aided analysis (CAA) system, a materials database is integrated with several software components, including commercially available finite element analysis (FEA) programs and preprocessors, and tools for the design of laminated composite materials. The system focuses on assembling, manipulating and using composite materials data, resulting in the transfer of 2-D and 3-D composite materials property data into a finite element analysis program. The system is life-cycle in nature, supporting a composite through testing, analysis and design. it offers great versatility in its ability to use raw ply data from any source, design layups, and generate laminate properties and FEA materials data files. Despite the fact that such integrated systems are not new in many domains, they have not been successfully introduced to the redlm of composite materials analysis and design. This outcome is due largely to the nature of the materials themselves and the overhead they bring to the development of a successful life-cycle model.     

An expert system for laminated plate design using composite materials

Fibre-reinforced composite materials are introduced as being suitable for aircraft design, and the need for computerizing the design process is explained. Following a brief exposition of the linear theory of composite laminated plates, a prototype expert system for the design of simple load-carrying plates or panels is described. Finally the automatic assessment of the relative merits of designs of different materials using uncertainty reasoning techniques is discussed.     

应用Diamond软件辅助《材料化学》课程教学

材料的晶体结构是<材料化学>课程中的重要内容,是理解材料物理性质的基础.本文针对晶体结构的几何学描述理论体系,总结应用Diamond软件辅助课程教学,帮助学生理解复杂晶体结构的学习过程.具体以金红石型TiO2和萤石CaF2的结构为例,运用该软件分别构建它们的晶体结构,从帮助学生理解和掌握抽象晶体结构概念的角度出发,阐明学习和理解.晶体结构的描述几何学原理相关参数的意义.     

Symmetric Veronese classifiers with application to materials design

To solve the materials classification problem, we propose a fast, exhaustive approach. We propose to test every feature (chemical property), every pair of features, every three features, etc., against every classifier architecture from a certain group of classifiers known as Support Vector Machines. This approach generalizes Pierre Villars’ work to higher dimensions and more operations. We have at present duplicated his result in identifying the Mendeleev Number as the single best feature, and we have produced a new result for the case of two features: namely, we have identified the Mendeleev number with the valence electron number as the best combination of two features.     

人工智能在计算机辅助工艺设计中的应用

随着计算机软硬件技术的不断成熟,计算机辅助工艺设计的理论与方法已发生了质的飞跃。将人工智能理论应用于计算机辅助工艺设计是新近发展起来的研究热点之一,也是工业设计现代化发展趋势。它不仅可以把人工智能领域中的研究成果移植到计算机辅助工艺设计中,而且也扩大了人工智能的应用领域,使两者得到完美结合,促进共同发展。本文简要地叙述了计算机辅助工艺设计和人工智能的基本概念,探讨了人工智能在计算机辅助工艺设计中的应用。     

正交信号校正的自回归模型及其在动态过程监测中的应用

针对采样数据的自相关性, 提出一种基于自回归(AR) 模型的动态过程建模方法. 首先, 利用正交信号校正(OSC) 消除用于AR模型回归的两数据集间的正交不相关信号; 然后, 在处理过的数据上进行偏最小二乘(PLS) 回归建模. 该方法对模型潜隐成分和残差信息同时进行在线监测, 并借鉴贝叶斯推理方法将多个监测指标进行融合, 以易化触发故障警报的决策过程. 最后通过在田纳西-伊斯曼(Tennessee Eastman, TE) 过程上的仿真实验验证了所提出方法的有效性.

     

An application of Hebbian learning in the design process decision-making

The design of a product involves a process in which several different aspects are combined in order to obtain a final, suitable and optimum product. Designers must interact with different stakeholder groups, make decisions and complete the design process. In order to achieve this, different evaluation techniques are used. Depending on the chosen technique and on the field and environment in which each member of the design team was trained, each one of the members will consider one or several aspects of the design project but from a point of view or perspective in line with his/her particular professional background. As a result, all decisions which will affect the design process of the product are focused on these aspects and individual viewpoints. In this paper, an evaluation technique is proposed which allows one to take suitable decisions, taking into account all the factors and perspectives which affect the design process in the best way, searching for a balance among them in relation to the aims and interests of a specific design project. The development of this evaluation technique was inspired by the way in which neurons interact with one another in the brain and it has been based on the Hebbian learning rule for neural networks. Lastly, a real application of the proposed technique is presented to demonstrate its applicability in evaluating industrial designs.     

Multilevel optimal design of composite structures including materials with negative Poisson's ratio

Multilevel iterative optimal design procedures, horrowed from the theory of structural optimization by means of homogenization, are used in this paper for the optimal material design of composite material structures. The method is quite general and includes materials with appropriate microstructure, which may lead eventually to phenomenological, overall negative Poisson's ratios. The benefits of optimal structural design gained by this approach, together with the first attempts to explain the taskoriented microstructure of natural structures, are investigated by means of numerical examples, and simulation of, among others, human bones.