基于计算机辅助的光学薄膜优化设计方法

概述了光学薄膜优化设计的发展和光学薄膜优化设计的原理。详细介绍了当前光学薄膜优化设计中几种常用方法并分析了它们的优缺点，最后预测了光学优化设计方法以后的发展趋势。     

压杆稳定可靠性优化设计

在稳定可靠性设计理论和优化设计方法的基础上,讨论了压杆稳定可靠性优化设计问题,提出了压 杆稳定可靠性优化设计的计算方法。在基本随机参数的前两阶矩已知的情况下,通过计算机程序可以实现压杆 稳定可靠性优化设计,迅速准确地得到压杆稳定可靠性优化设计信息。     

汽车零部件的可靠性稳健优化设计——理论部分*

将可靠性优化设计理论与可靠性灵敏度分析方法相结合，讨论了汽车零部件的可靠性稳健优化设计问题，提出了可靠性稳健优化设计的计算方法。把可靠性灵敏度融入可靠性优化设计模型之中，将可靠性稳健优化设计归结为满足可靠性要求的多目标优化问题。     

考虑可靠度可信区间的结构可靠性优化设计

 在贝叶斯统计理论和结构可靠性优化设计方法的基础上,研究了结构在小样本情况下考虑可靠度可信区间的结构可靠性优化设计问题.将结构可靠度作为随机变量,根据先验信息和样本信息,采用贝叶斯推断技术获得结构可靠度的概率分布,给出了可靠度的点估计及区间估计.建立了考虑可靠度可信区间的结构可靠性优化设计模型,提出了考虑可靠度可信区间的结构可靠性优化设计方法.所提出的方法为解决小样本情况下的结构可靠性优化设计问题提供了新的解决方案.数值算例验证了所提出的结构可靠性优化设计方法的有效性和正确性.     

螺旋管簧的可靠性优化设计

讨论了螺旋管簧的可靠性优化设计问题。在基本随机变量的概率特性已知的情况下，采用二阶矩法和可靠性优化设计方法对螺旋管簧进行了可靠性优化设计。通过计算机程序可以直接实现螺旋管簧的可靠性优化设计，迅速准确地得到螺旋管簧的可靠性优化设计信息。     

论机电新产品性能的优化设计

机电新产品性能的优化设计在各个阶段逐步形成。本文就机电新产品性能的优化设计从方案设计阶段、参数设计阶段、详细设计三个阶段以及机电产品性能优化设计的方法等方面进行了探究。     

鲁棒优化设计方法在结构动力学中的应用

在传统的静力学鲁棒优化设计基础上,考虑时间t参数,通过优化系统目标函数和约束条件的鲁棒性,将鲁棒优化设计方法运用在动力学问题中。通过一个主系统的质量和刚度均有微小波动的二自由度模型减振器设计算例,与传统的优化设计方法相比,显示了鲁棒优化设计的优越性,能使结构具有更稳定的性能。     

舰船结构合金的优化设计(待续)

本文系统地讨论了舰船结构合金优化设计的基本方法及步骤。从合金优化设计的基本方法及设计程序、舰船结构产品工程设计与材料、舰船结构合金性能与成分和加工工艺间的关系、合金设计的建模与求解等方面进行阐述。同时,为说明设计方法,例举了部分合金优化设计的事例。     

转子系统振动特性优化设计研究

研究转子及其支承系统振动特性优化设计方法,并以Matlab软件作为平台,开发出基于传递矩阵法的转子系统的振动特性优化设计软件,利用该软件对某一大型实验转子系统的振动特性进行优化设计,优化设计后的转子系统更具安全性,并且更加逼真地模拟实际机组的振动特性.     

材料塑性成形时敏感性分析研究现状

敏感性分析在材料塑性成形过程中的工艺优化设计及控制方面有重要的应用。综述了材料塑性成形时敏感性分析方法及各种方法在工艺优化设计中的应用,介绍了国内外学者基于敏感性分析在微观组织的优化控制、预成形优化设计、模具优化设计以及参数设计等方面所取得的研究进展。     

露天台阶爆破宽孔距布孔探讨

宽孔距爆破设计的关键在于选取合理的炮孔密集系数m,根据宽孔距破岩机理,利用几何关系,推导出最佳的炮孔密集系数m=2√3,并提出了比较系统的爆破设计方法,包括炮孔平面布置参数确定,起爆顺序等.     

玻璃熔窑多层保温的优化设计方法

玻璃熔窑的多层保温是减少热损失、降低燃料消耗量、提高热效率的重要措施之一,优化设计的目的是节约成本.针对玻璃熔窑的大规模多层保温问题,提出了一种新的优化设计方法.首先建立窑炉保温的离散化模型,然后应用动态规划法,设计出一种次优算法实现优化,并考虑保温后对窑炉内壁温度的影响.讨论了算法中的参数选择对误差的影响,对算法复杂度的分析表明其与优化问题的规模增长是一阶关系.开发了相应的应用软件实现优化设计.     

Determination of the joint confidence region of the optimal operating conditions in robust design by the bootstrap technique

Robust design is widely recognised as a leading method for reducing variability and improving quality. Most of the engineering statistics literature focuses on finding point estimates of the optimum operating conditions for robust design. Various procedures have been considered for calculating point estimates of the optimum operating conditions. Although the point estimation procedure is important for continuous quality improvement, the immediate question is ‘‘how accurate are these optimum operating conditions?” The answer is to consider interval estimation for a single variable or joint confidence regions for multiple variables. In this paper, using the bootstrap technique, we develop procedures for obtaining joint confidence regions for the optimum operating conditions. Two different procedures, using Bonferroni and multivariate normal approximation, are introduced. The proposed methods are illustrated and substantiated using a numerical example.     

Response surface optimization for a nonlinearly constrained irregular experimental design space

Finding optimum conditions for process factors in an engineering optimization problem with response surface functions requires structured data collection using experimental design. When the experimental design space is constrained owing to external factors, its design space may form an asymmetrical and irregular shape and thus standard experimental design methods become ineffective. Computer-generated optimal designs, such as D-optimal designs, provide alternatives. While several iterative exchange algorithms for D-optimal designs are available for a linearly constrained irregular design space, it has not been clearly understood how D-optimal design points need to be generated when the design space is nonlinearly constrained and how response surface models are optimized. This article proposes an algorithm for generating the D-optimal design points that satisfy both feasibility and optimality conditions by using piecewise linear functions on the design space. The D-optimality-based response surface design models are proposed and optimization procedures are then analysed.     

Performance of an optimum receiver designed for pattern recognition with nonoverlapping target and scene noise

The design of an optimum receiver for pattern recognition is based on multiple-alternative hypothesis testing with unknown parameters for detecting and locating a noisy target or a noise-free target in scene noise that is spatially nonoverlapping with this target. The optimum receiver designed for a noise-free target has the interesting property of detecting, without error, a noise-free target that has unknown illumination by using operations that are independent of the scene-noise statistics. We investigate the performance of the optimum receiver designed for nonoverlapping target and scene noise in terms of rotation and scale sensitivity of the input targets and discrimination against similar objects. Because it is not possible in practical systems to have a completely noise-free target, we examine how the performance of the optimum receiver designed for a noise-free target is affected when there is some overlapping noise on the target. The application of the optimum receiver to binary character recognition is described. Computer simulation results are provided.     

The design of single crystal materials for magnetic bubble domain applications

The criteria for the existence of stable magnetic bubble domains and their potential in data storage applications are outlined. The development of single crystal materials capable of supporting such domains is reviewed. Particular emphasis is given to both the static and dynamic properties of bubble domains and to how, by careful materials design and preparation, the optimum balance of these properties can be attained.     

FUZZY OPTIMUM DESIGN OF STRUCTURES

It is pointed out that there exists a vast amount of fuzzy information in both objective and constraint functions of optimum design of structures (ODS) Thus, relatively reasonable optimum designs can only be obtained by fuzzy programming methods. While all fuzzy constraints enclose a fuzzy feasible region in decision-making space, the fuzzy optimum solution will be a sequence of points in a small fuzzy optimum subregion. In the presented procedure, optimum structural design with fuzzy constraints is transformed into a set of ordinary optimum problems by a level cuts approach which results in a sequence of optimum design schemes with different design levels. The concept of optimum design level corresponding to the most suitable scheme among the obtained sequence is also advanced in this paper.     

Exploration of Metamodeling Sampling Criteria for Constrained Global Optimization

The use of surrogate models or metamodeling has lead to new areas of research in simulation-based design optimization. Metamodeling approaches have advantages over traditional techniques when dealing with the noisy responses and/or high computational cost characteristic of many computer simulations. This paper focuses on a particular algorithm, Efficient Global Optimization (EGO) that uses kriging metamodels. Several infill sampling criteria are reviewed, namely criteria for selecting design points at which the true functions are evaluated. The infill sampling criterion has a strong influence on how efficiently and accurately EGO locates the optimum. Variance-reducing criteria substantially reduce the RMS error of the resulting metamodels, while other criteria influence how locally or globally EGO searches. Criteria that place more emphasis on global searching require more iterations to locate optima and do so less accurately than criteria emphasizing local search.     

Optimization of multi-layer ceramic capacitor geometry for maximum yield during binder burnout

The yield during binder burnout of barium titanate multi-layer ceramic capacitors with poly(vinyl) butyral as a binder and platinum as the electrode material depends on the side length and height of the devices. In general, the yield decreases with increasing volume of the capacitor and depends on the aspect ratio of the component. For capacitors of square parallelepiped geometry, the optimum aspect ratio determined from the analysis of binder burnout yield data occurs at a height-to-length ratio of approximately 1 : 3. A methodology is presented which describes how to use the yield data obtained from binder burnout experiments to guide the optimum design of capacitor geometry. Analytical expressions were developed for capacitors of cube, square parallelepiped, rectangular parallelepiped, circular cylinder, and elliptical cylinder geometry. As the dependence of the yield on the dimensions becomes more complex, the optimum shape of the capacitor becomes more asymmetric.     

Optimal platform design using non-dominated sorting genetic algorithm II and technique for order of preference by similarity to ideal solution; application to automotive suspension system

Unlike conventional approaches where optimization is performed on a unique component of a specific product, optimum design of a set of components for employing in a product family can cause significant reduction in costs. Increasing commonality and performance of the product platform simultaneously is a multi-objective optimization problem (MOP). Several optimization methods are reported to solve these MOPs. However, what is less discussed is how to find the trade-off points among the obtained non-dominated optimum points. This article investigates the optimal design of a product family using non-dominated sorting genetic algorithm II (NSGA-II) and proposes the employment of technique for order of preference by similarity to ideal solution (TOPSIS) method to find the trade-off points among the obtained non-dominated results while compromising all objective functions together. A case study for a family of suspension systems is presented, considering performance and commonality. The results indicate the effectiveness of the proposed method to obtain the trade-off points with the best possible performance while maximizing the common parts.