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.     

基于数字孪生的智能脉动管控

为提升飞机总装脉动生产线智能化水平,开展了基于数字孪生的智能脉动管控研究。基于数字孪生五维模型理论构建了飞机总装脉动生产线数字孪生应用架构,从反应式计划调度、物流精准配送、智能作业指导、产线健康监视、资源迭代优化配置5个方面开展了技术研究,为复杂产品装配的智能制造应用提供参考。     

工艺模型驱动的物料动态精准配送技术

针对飞机装配车间传统“领料式”物料配送存在的弊端,提出了一种工艺模型驱动的物料动态精准配送方法,构建了飞机装配车间物料精准配送管理系统,阐述了系统构建涉及的关键技术难点,采用基于模型的三维可视化消耗式BOM重构方式,建立与设计了模型动态同步精准的MBOM工艺模型,利用RFID技术的优点实时获取物料信息,通过iGPS系统引导AGV物料运输平台来实现装配站位物料的高精度配送。     

Energy principle and material removal sequence optimization method in machining of aircraft monolithic parts

In the machining process of aircraft monolithic parts, the initial residual stress redistribution and structural stiffness evolution often lead to unexpected distortions. On the other hand, the stress redistribution and stiffness reduction during the machining process depend on the material removal sequence. The essence of the stress redistribution is releasing the initial elastic strain energy. In the present study, the influence of the material removal sequence on the energy release is studied. Moreover, a novel optimization method is proposed for the material removal sequence. In order to evaluate the performance of the proposed method, the mechanism of the machining distortion is firstly analyzed based on the energy principle. Then a calculative model for the machining distortion of long beam parts is established accordingly. Moreover, an energy parameter related to the bending distortion and the procedure of the material removal sequence optimization is defined. Finally, the bending distortion analysis and material removal sequence optimization are performed on a long beam with a Z-shaped cross-section. Furthermore, simulation and experiments are carried out. The obtained results indicate that the optimized sequence results in a low distortion fluctuation and decreases the bending distortion.     

基于上下文区域的飞机数字样机审查方法

为了提高数字样机审查的效率和质量,改善传统的审查方式,提出一种基于上下文区域的飞机数字样机审查方法,确保审查过程的规范性、可追溯性,同时缩短了审查周期并提高了设计质量,实现了飞机数字样机的数字化协调审查。     

Determination of optimal samples for robot calibration based on error similarity

Industrial robots are used for automatic drilling and riveting.The absolute position accuracy of an industrial robot is one of the key performance indexes in aircraft assembly,and can be improved through error compensation to meet aircraft assembly requirements.The achievable accuracy and the difficulty of accuracy compensation implementation are closely related to the choice of sampling points.Therefore,based on the error similarity error compensation method,a method for choosing sampling points on a uniform grid is proposed.A simulation is conducted to analyze the influence of the sample point locations on error compensation.In addition,the grid steps of the sampling points are optimized using a statistical analysis method.The method is used to generate grids and optimize the grid steps of a Kuka KR-210 robot.The experimental results show that the method for planning sampling data can be used to effectively optimize the sampling grid.After error compensation,the position accuracy of the robot meets the position accuracy requirements.     

基于结构健康监测的飞机结构 MSG-3 分析

结构健康监测(SHM)技术被广泛引入到了飞机设计与维护,本文依据现阶段SHM技术的发展现状,将SHM技术与MSG-3分析思想融合,制定了一种针对采用SHM技术飞机结构的计划维修分析流程。     

AEG评审在型号合格审定中的研究与应用

概述了申请人的航空器评审工作,并简要对比分析了运行符合性清单、型别等级和训练要求、MMEL、MRBR、OCAI等11个AEG工作评审项目。同时通过对比分析航空器评审组(简称AEG)评审与型号合格审定之间的区别和联系,为申请人顺利开展AEG工作提出4条建议。     

复合材料飞机结构材料和设计许用值的确定方法

分析国内外复合材料飞机结构材料许用值、设计许用值的确定原则和方法,研究给出了复合材料结构材料许用值的表征和应用、试验以反试验数据的统计分析方法,以及静强度、疲劳强度、损伤容限和修理设计许用值的确定方法.     

某新型飞机维修模拟训练系统

介绍了某新型飞机维修模拟训练系统的设计思路以及系统组成和特点,并结合系统的实现讨论了模拟仿真技术应用于装备维修的现实意义.实践证明,应用该系统开展飞机维修模拟训练解决了部队由于维修保障训练设备缺乏,机务人员难以进行全专业综合保障维修训练的难题,大大缩短了新机维修保障训练周期,节约了大量的装备维修保障经费.