A progressive approach to predict shot peening process parameters for forming integral panel of Al7050-T7451

In this paper, a progressive approach to predict the multiple shot peening process parameters for complex integral panel is proposed. Firstly, the invariable parameters in the forming process including shot size, mass flow, peening distance and peening angle are determined according to the empirical and machine type. Then, the optimal value of air pressure for the whole shot peening is selected by the experimental data. Finally, the feeding speed for every shot peening path is predicted by regression equation. The integral panel part with thickness from 2 mm to 5 mm and curvature radius from 3200 mm to 16000 mm is taken as a research object, and four experiments are conducted. In order to design specimens for acquiring the forming data, one experiment is conducted to compare the curvature radius of the plate and stringer-structural specimens, which were peened along the middle of the two stringers. The most striking finding of this experiment is that the outer shape error range is below 3.9%, so the plate specimens can be used in predicting feeding speed of the integral panel. The second experiment is performed and results show that when the coverage reaches the limit of 80%, the minimum feeding speed is 50 mm/s. By this feeding speed, the forming curvature radius of the specimens with different thickness from the third experiment is measured and compared with the research object, and the optimal air pressure is 0.15 MPa. Then, the plate specimens with thickness from 2 mm to 5 mm are peened in the fourth experiment, and the measured curvature radius data are used to calculate the feeding speed of different shot peening path by regressive analysis method. The algorithm is validated by forming a test part and the average deviation is 0.496 mm. It is shown that the approach can realize the forming of the integral panel precisely.     

An innovative approach for integrated airline network and aircraft family optimization

The determination of optimal aerial transport networks and their associated flight frequencies is crucial for the strategic planning of airlines, as well as for carrying out market research, to establish target markets, and for aircraft and crew rostering. In addition, optimum airplane types for the selected networks are crucial to improve revenue and to provide reduced operating costs. The present study proposes an innovative approach to determine the optimal aerial transport network simultaneously with the determination of the optimum fleet for that network, composed of three types of airplanes (network and vehicle integrated design). The network profit is maximized. The passenger’s demands between the airports are determined via a gravitational model. An embedded linear programming solution is responsible for obtaining potential optimal network configurations. The optimum fleet combination is determined from a database of candidate aircraft designs via genetic algorithm. A truly realistic airplane representation is made possible thanks to accurate surrogate models for engine and aerodynamics is adopted. An accurate engine deck encompassing a compression map and an innovative engine weight calculation besides an aerodynamical artificial neural network module enable a high degree of accuracy for the mission analysis. The proposed methodology is applied to obtain the optimum network comprised of twenty main Brazilian airports and corresponding fleet.     

面向学生的智能解题专家系统的研究与设计

探讨了网络在专家系统中的应用 ,给出了一个基于网络的面向学生的智能解题专家系统的模型 ,分析了设计的基本过程。从专家系统出发 ,探讨了基于知识的推理系统。最后 ,从以上设计出发 ,总结了基于该模型的系统需进一步研究的工作。     

有线电视网络安全监控系统

在有线电视台前端采用数字信标插入器在视频插入标志,在有线电视网中对此标志进行检查,即可判断有线网络中播出的信号是否合法,若不符合设定,则通过电话网络向前端发出报警信号,前端收到报警信号后,向值班人员发出声光报警,从而达到对有线电视网络进行实时监控的目的。较详细地说明了该系统及各主要部分的原理及具体实现。     

新一代民用客机自主式数据总线

本文在简要阐述 ARINC 429 和 MIL-STD-1553B 总线应用所受限制的基础上,介绍了90年代美国民航界推出的一种自主式数据总线 ARINc629的设计要点,包括其通信协议。各终端信源数据在总线上的周期传输和非周期传输、信息传输的种类和方法及终端的功能框图,最后给出了此总线在新一代民用机中的应用情况。     

应力为几何更新过程时结构可靠度

本文讨论应力为几何更新过程时结构可靠度，获得在设计基准期［０，Ｔ］内重复应力循环发生的次数服从几何更新过程时结构可靠度表达式。     

质量矩导弹的神经网络及自适应非线性控制

本文对质量矩控制导弹的动力学方程简化和控制系统的设计进行了研究。详细阐述了所提出的控制方法，介绍了径向基单隐层神经网络进行误差补偿的算法原理，用Lyapunov理论证明了所采用方法的稳定性。在给出了质量矩导弹的六自由度动力学方程和简化后的方程后，用所提出的方法设计控制系统。通过仿真分析，得出了本文所提出的方法具有较好的误差补偿能力的结论。     

无人机自由编队飞行的补偿模糊神经网络控制

为了克服当前提出的无人机编队飞行的不足，提出一种新的无人机编队飞行概念——自由编队飞行，制定了相关的避让规则，用补偿模糊神经网络进行训练，实现自由编队飞行的补偿模糊神经网络控制。仿真显示，编队飞行的飞机能按照规则自主改变航路进行避让，表明了该方法的有效性。     

Kevlar/Nomex蜂窝夹层结构表面粘贴镀铜箔聚酰亚胺薄膜的工艺研究

文章对Kevlar面板Nomex蜂窝夹层结构表面粘贴镀铜箔聚酰亚胺薄膜的工艺进行了研究,分析了工艺特点、工艺流程、工艺难点,以及针对工艺难点所采取的工艺措施,最后根据产品的研制情况给出结论。     

动态差压检测系统的共模误差研究

主要针对以差压变送器为核心的动态差压检测系统的特点 ,应用流体网络分析方法 ,提出了动态差压检测系统中的共模误差问题。理论分析和仿真计算结果表明 :共模误差与检测系统两侧引压管路的不一致性直接相关 ,为了获得动态差压信号的准确检测 ,必须对动态差压检测系统的共模误差予以抑制