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.     

在二元柔壁自适应风洞中利用面元法进行三元模型实验

简要叙述了在西北工业大学二元柔壁自适应风洞中利用面元法进行二元半机翼模型试验的研究情况，分析了面元法的基本思想和部分试验结果。     

J—7LP飞机1：6遥控模型失速尾旋试验

对无动力J—7LP动力学缩比模型进行了遥控试飞,以研究其失速尾旋特性,全偏平尾和方向舵可使模型进八尾旋,舵面全回中即可从各种尾旋中改出。偏转副翼对尾旋特性有明显的影响。     

Digital Aircraft Sheet Metal Part Manufacturing System and Its Key Technology

The architecture of digital sheet metal manufacturing system is proposed based on the classification of sheet metal manufacturing information.The essence of digital manufacturing is the definition,management and transfer of information,and the key technologies are brought forward and described.It is pointed out that knowledge-based manufacturing elements design is necessary to make digital technology efficient.The management of all kinds of sheet metal manufacturing element information is to build single source of manufacturing data.Multi-state model-based digital transfer and coordination method is designed to provide a foundation for digital manufacturing of aircraft sheet metal part.The application of digital sheet metal manufacturing is exemplified with an aircraft sheet metal part.The application result is compared to that of the traditional analog transfer technology.It is shown that the developed technology can improve part quality,shorten manufacturing time and lower manufacturing cost.     

随振动量级增加卫星结构频率下移的分析

对卫星振动频率随量级增加而出现下降，即振动频率“漂移”的现象进行了初步分析。发现随振动量级的增加。结构的非线性表现突出。结构的刚度下降和阻尼增加，可认为主要是由蜂窝材料的非线性因素所致。     

翼板颤振主动抑制的无限维非线性分析

 <正> 1.混合动力学系统的Hopf分叉定理 本文将Marsden-McCracken关于分布参数的Hopf分叉定理推广至混合动力学系统。 设在积空间X=E×R~n中依赖参数μ的演化方程为     

航空发动机全程滑态变结构控制研究

一种新的滑模变结构控制方法-全程滑态变结构控制首次应用于航空发动机控制系统，该控制方法能有效地缩短系统状态到达滑动模态的时间，避免了定常滑态变结构控制系统在能达阶段对扰动的敏感性，且其控制律的设计可以改善系统的瞬态性能，克服未知参数摄动的影响，仿真结果表明，基于全程滑态变结构控制所设计的发动机控制系统，其鲁棒性要优于发动机定常滑态结构控制系统。     

航空发动机进口温度畸变参数和防喘控制系统设计

主要研究了航空发动机防喘控制系统的设计和研制，特别是研究了当战斗机发射导弹时温度畸变对发动机的影响。引入的温度畸变参数包括：进口相对平均温升δT；进口温升率dT／dt；当量热区角Φe；连续温度畸变时间tB。通过试验和数据分析的方法得出发动机防喘控制系统的设计准则，发动机防喘控制系统的研制和飞行试验证明了该设计准则的正确性。     

凹槽火焰稳定器结构对煤油超声速燃烧的影响

采用混合分数平衡化学反应模型和离散液滴模型，研究了不同长深比和后缘倾角的凹槽在液体煤油双模态燃烧中的火焰稳定特性。结果表明，集燃料喷射、混合及火焰稳定为一体的凹槽，在所模拟的工作过程中增强了燃料与空气的混合和燃烧；并得到最优的凹槽结构；混合分数平衡化学反应模型和离散液滴模型能准确地预测煤油在双模态燃烧室内的喷雾燃烧。