涡扇发动机最优加速控制规律

关于涡扇发动机最优加速控问题,由于状态系统存在较强的非线性,控制性能差,改善发动机加速性,传统非线性规划算法求解过程中因采用罚函数处理约束条件而无法充分搜索控制参数的可行域。为提高系统性能,并充分挖掘发动机的加速特性,采用Sigma方法的多目标粒子群算法求解。可以在带限制因子的粒子群算法的基础上,利用粒子群算法的快速寻优能力和Sigma方法沿约束边界的充分搜索方法,求解发动机加速过程中控制参数,并进行仿真。结果证明,采用多目标粒子群算法优化后,加速时间缩短了约2.01s,结果表明改进方法是可行的,能在确保发动机安全工作的前提下,进一步提升了发动机的加速性能。     

基于规则引擎的电子采购逆向竞拍的研究

近年来规则引擎技术已广泛应用于金融、电子商务及制造业等领域。当前大型企业的采购方式越来越多样化,传统采购系统所采用的逆向竞拍方案已不能满足现有需求。本文研究了规则引擎技术在企业电子采购系统中的应用,以将程序代码和业务规则分离开来。企业可以按照不同采购需求个性化配置采购规则,规则引擎控制整个拍卖过程,拍卖结束后系统再利用规则引擎自动对报价进行评分,帮助企业选择最优供应商,使其在采购过程中降低成本,提高采购效率。     

三维地图引擎中地形跟踪算法的实现

作为三维地图引擎中的重要一部分,地形跟踪算法起到了模拟各种不同地形与运动设备的作用。好的地形跟踪算法不仅可以实现水面、沙地、森林等在各种地形上行进的感受,还能模拟出船舶、车辆等各种不同载体的运动感受。在一款三维导航产品中,做好地形跟踪算法,对于用户体验的改善是相当大的。     

工作流技术在ASP公共服务平台中的应用研究*

根据项目特点,建立了适合ASP平台的基于协调理论和反馈机制的扩展活动网络模型,采用XML模式的XPDL规范实现过程定义;然后通过DOM解析XML数据文档和J2EE的技术支持实现了系统的轻量级工作流引擎.详细介绍了系统实现中解决的两个关键问题:事务型操作的处理和并发控制,并提出了基于优先级的锁绑定机制.     

Densities and excess molar volumes of mixtures containing diesel,biodiesel and alkanols at temperatures from 288.15 to 313.15 K

The present work is focusing on the synthesization and physico-chemical properties of Jatropha curcas biodiesel with diesel and alcohols.The densities of binary diesel (2)+1-alkanols (C_3 or C_4)(3) and ternary Jatropha curcas biodiesel (1)+diesel (2)+1-alkanols (C_3or C_4)(3) blends have been reported over full range of composition at temperatures within range 288.15 to 313.15 K.Also densities of Jatropha curcas biodiesel (1)+diesel or 1-alkanols (C_3 or C_4)(2) blends have been measured at 313.15 K.Excess molar volumes,V~E,V~E_(123)of binary and ternary blends were calculated from the measured data and the derived properties were correlated to composition using Redlich–Kister equation.A reasonable agreement was found between the measured and estimated values.Further,densities and excess molar volumes data were reasoned to discuss molecular interactions taking into consideration effect of composition and temperature.     

Preparation of M/Ce1–xTixO2 (M=Pt,Rh, Ru) from sol-gel method and their catalytic oxidation activity for diesel soot

A series of Ce_1–xTi_xO₂ mixed oxide catalysts were synthesized by sol-gel method and then loading of noble metal (M = Pt, Rh, Ru) was used for soot oxidation. Ti-doped Ce_1–xTi_xO₂ catalysts (x is the molar ratio of Ti/(Ti + Ce) and ranges from 0.1 to 0.5) exhibit much better oxidation performance than CeO₂ catalyst, and the Ce_0.9Ti_0.1O₂ catalyst calcined at 500 °C has the best catalysis activity. Each noble metal (1 wt%) was supported on Ce_0.9Ti_0.1O₂ (M/C9T1) and the properties of the catalysts were characterized by X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), Raman, Brunauer–Emmett–Teller (BET) method, and H₂-temperature programmed reduction (H₂-TPR) results. Results show that the introduction of Ti into CeO₂ forming Ti-O-Ce structure enhances the catalytic activity and increases the number of oxygen vacancies at the catalyst surface. The noble metal is highly dispersed over Ce_0.9Ti_0.1O₂, and M/C9T1 catalysts present enhanced activity in comparison to Ce_0.9Ti_0.1O₂. It is found that noble metals can greatly increase the activity of the catalyst and the corresponding oxidation rate of soot can enhance the electron transfer capacity and oxygen adsorption capacity of the catalyst. A small amount of Ti doping in CeO₂ can significantly improve the activity of the catalyst, while a large amount of Ti reduces the performance of the catalyst because a large amount of Ti is enriched on the surface of the catalyst, which hinders the contact and reaction between the catalyst and the soot.     

NICKEL-BASED ALLOYS IN GE AIRCRAFT TURBINES：PAST,PRESENT ＆ FUTURE

1. Introduction Freedom to travel anywhere in the world, both quickly and inexpensively, defines our modern era. Despite year-to-year variation, the long term demand for travel by airplane continues to grow. Three ma- jor systems comprise the modern airplane: the aircraft structure that encompasses the fuselage, wings, and landing gear; the avionics that enable flight through crowded skies in nearly all weather conditions; and the propulsion system that powers the aircraft. Improvements in mat…     

Determination of heavy metals and volatile aromatic compounds in used engine oils and sludges

Assessment of contaminant releases during utilization of used oils is essential for the determination of environmental acceptability. These paper reports the results of the study examining a toxic metal leachability from used engine oil and sludge samples employing leaching test (TCLP). The leaching test indicated that lead in oil samples exceeded 5-ppm concentration level what qualified them as a toxic waste. The samples of contaminated sludge were found to contain high concentration of total lead, barium and chromium, but the leaching test showed concentration below regulatory limit. The total content of benzene, ethylbenzene, toluene, and xylenes (BETX), and naphthalene in used oil and sludge samples was also determined and was found not to be a significant factor to contamination.     

复合型高分子自限温发热材料及元器件在汽车冷启动方面的应用

采用HDPE／CB复合型高分子自限温发热材料制备了适于在汽车上使用的自限温加热带、发热管及相应的加热器，通过实验室模拟试验，研究了加热器的电热特性。在冬季的柴油车冷启动试验表明，组合加热装置对柴油车的冷启动及正常运行非常奏效，所研制的复合型高分子自限温发热材料及元器件用于汽车领域是可行的。     

用于提高谷歌图像搜索结果的二分类器在线学习方法

对于基于关键词的图像检索,利用检索结果的视觉相似性学习二分类器有望成为改善检索结果的最有效途径之一. 为改善搜索引擎的搜索结果,本文提出一种算法框架并且基于此框架着重研究训练数据选择这一关键问题. 训练数据选择过程由两个阶段组成:1）训练数据初始化以开始分类器学习过程;2）分类器迭代学习过程中的动态数据选择. 对于初始训练数据的选择,我们探讨了基于聚类和基于排序两种方法,并且对比了自动训练数据选择与人工标注的结果. 对于动态数据选择,我们比较了支持向量机和基于最大最小后验伪概率的贝叶斯分类器的分类效果. 组合上述两个阶段的不同方法,我们得到了8种不同的算法,并将其用于谷歌搜索引擎进行基于关键词的图像检索. 实验结果证明,如何从含有噪声的搜索结果中选择训练数据是搜索结果改善的关键问题. 实验显示我们的方法能够有效的改善谷歌搜索的结果,尤其是排序在前的结果. 尽早为用户提供更相关的结果能够更大程度的减少用户逐个翻页查看结果的工作. 另外,如何使自动训练数据选择与人工标注媲美仍是需要继续研究的一个问题.