A Six-sigma approach for benchmarking of RP&M processes

This paper presents a methodology of using six-sigma quality tools for benchmarking of rapid prototyping & manufacturing (RP&M) processes. It involves the fabrication of a geometric benchmark part and a methodology to control and identify the best performance of the process to reduce the variablity in the fabricated parts. The approach is demonstrated with a case study based on the direct laser sintering (DLS) process for prototyping using plastic powder. In the case study an identified set of six-sigma/ statistical process control tools is employed to determine and best tune factors affecting the desired outcomes of the built parts.     

汽油在线优化调合系统实践

为了保证汽油调合辛烷值的准确性,在减少辛烷值浪费的同时应避免因辛烷值低于标准值而造成质量事故。参考国内外汽油在线优化调合的各种技术方案,设计了一种适合中国国情的汽油在线优化调合控制系统。经中石化天津和洛阳炼油厂应用证明,系统很好地解决了调合过程中的辛烷值控制及优化问题,取得了较好的经济效益。     

拱坝近似优化的人工神经网络方法

以国内已建拱坝体形参数为基础,以ＢＰ神经网络方法为手段,建立了拱坝体形参数近似优化的人工神经网络模型．借助该模型不仅可以为拱坝体形优化快速提供高质量的初始可行解,而且可为中、小拱坝体形设计直接提供近似最优解．     

EXPERIMENTAL STUDIES OF NEW TECHNOLOGY ON HIGH GLOSSINESS GRANITE SURFACE

On the basis of analysing thecharacter of granite and its polishingtechnology,the authors have manufactureda kind of polishing disk to polish graniteand good results have been obtained.Through studying the polishing process ofgranite in theory and experiment,theauthors think that the high glossinesssurface is the result of grinding ofabrasives and adhering of soft metal.Moreover,orthogonal test is carried outabout the technical parameters for threeetypical kinds of granites and some usefulresults for production are obtained.     

整体经济效益最优控制方法

本文提出了整体经济效益最优的动静态耦合的优化控制一体化方法，它在传统的两级优化控制结构中加入一层协调级，能有效地克服以往优化级撇开控制能量代价不计的缺陷。特别是一体化系统通过调级从控制层向优化层引入反馈，使得由于过程自身动态因素对操作点的制约，能有效地通知到优化层，避免了优化的盲目性和片面性。各个层次之间通过公用数据库交换数据，使它们的决策与目前生产过程的实际情况密切联系。     

变分不等原理的优化解法及应用

将变分不等原理应用到塑性成形速度场的近似求解中，通过近似速度场，得到塑性成形过程中所需要的外力。为了避开直接求解变分不等式的困难，使用优化方法对塑性成形问题的能量泛函求极小值来得到相应的近似解，为了证明方法的有效性，计算了平面应变镦粗的成形问题，并与解析解及实验结果进行了比较。     

Optimization of abrasive water jet cutting of ductile materials

Full factorial design of experiments was developed in order to investigate the effects of jet pressure, abrasive mixing rate, cutting feed, and plate thickness upon three response variables, surface finish of cutting wear zone, percentage proportion of striation free area, and maximum width of cut. The set of sixteen experiments was performed on each of the following two ductile materials: AISI 4340 (high strength low alloy steel, hardened to 49HRc) and Aluminum 2219. Analysis of Variance (ANOVA) was performed on experimental data in order to determine the significance of effects of different parameters on the performance measures. It was found that cutting feed and thickness were highly influential parameters, while abrasive mixing rate is influential upon surface roughness only. Strong interaction was found between jet pressure and workpiece material. Multi-criteria numerical optimization was performed in order to simultaneously maximize/minimize different combinations of performance measures.     

改进蚁群优化算法在配电网网架规划中的应用

从转移概率和信息素的动态更新机制两方面对传统蚁群算法进行了改进。转移概率设计中采用2个参数的联动控制,实现了Dorigo和Maniezzo的设想。信息素动态更新机制使信息素权重随迭代次数增加而改变,实现了对整个可行域的搜索全面而迅速,弥补了传统蚁群算法训练效率低下和易陷入局部极小的不足。配电网优化的结果表明该算法的有效性。     

加劲压力钢管结构优化设计

提出了改进加劲压力钢管设计的新思想,建立了加劲压力钢管结构优化设计的数学模型,介绍了约束非线性混合离散变量最优化方法的基本原理及其工程应用,研制了加劲压力钢管结构优化设计通用程序（ＯＳＤＰＲ）。结合工程实例,对加劲压力钢管进行优化设计,经济效益显著。     

一类反应扩散模型的未知参数辨识

考虑一类反应扩散模型的参数辨识问题，将原问题转化为最优化问题后，利用伴随状态方法，推导出控制方程组的伴随方程组，从而给出目标函数关于未知参数的下降方向计算公式。最后给出具体的算法，说明了该方法的可行性。