Development of Visualization System for Aircraft Assembling Process Oriented Assembly Field

2011 ◽  
Vol 189-193 ◽  
pp. 296-299
Author(s):  
Li Gang Qu ◽  
Shuang Zheng ◽  
Hong Jie Guo

The technologically system architecture of aircraft assembling process visualization is presented according to the development requirement of digital aircraft assembly. The key technologies is studied about the dynamic data associating form EBOM to PBOM, simulatiing and optimizing assembling process based on DELMIA, and lightening the 3D models, which are the technological foundation to implementation of building the assembly resource database, designing the assembly process planning, visualizing assembling process and informations. The visualization system for aircraft assembly simulation is developed and built based on C/S networked mode, which could be applied in aircraft assembly workshop. The system platform is industrially test taken the forward cargo door of one civil aircraft for example, it is proved that this visualization system could be applied in aircraft assembly field as guidance of assembling production, the accuracy and the efficiency of parts and components' assembly are improved distinctly.

2011 ◽  
Vol 335-336 ◽  
pp. 985-988
Author(s):  
Bao Hui Jia ◽  
Ze Dong Sun

Health assessment is one of the key technologies for civil aircraft health management system. In order to access the health status of components, subsystems and systems of civil aircrafts, this paper explicitly defines the health status, and presents the fuzzy synthetic evaluation algorithm. Then the model of the evaluated object is established to get the health status of quantitative level. Finally, the method is used for health assessment of aircraft hydraulic pump .The results of simulation show the practicability of this method.


2011 ◽  
Vol 314-316 ◽  
pp. 2287-2292
Author(s):  
Hong Jun Liu ◽  
Xiao Yan Tong ◽  
Sheng Li Lv ◽  
Qing Ming Fan

This paper is to explain the application of DELMIA in 3D digital virtual assembly. It takes ARJ21 aircraft central wing assembly simulation process as an example. It introduces the related modules of DELMIA software and discusses the application of DELMIA in aircraft assembly simulation through the central wing assembly process simulation and human task simulation in the ARJ21 aircraft central wing assembly simulation.


2021 ◽  
Author(s):  
Xiangang Cao ◽  
Mengyuan Zhang ◽  
Yong Duan ◽  
Kexin Wu ◽  
Yanchuan Li

Abstract Based on the analysis of the current challenges and deficiencies in the maintenance and management of coal mine equipment, an intelligent maintenance and health management system framework for coal mine equipment is designed for the big data characteristics of the life cycle of coal mine equipment. Taking the big data processing and analysis of coal mine equipment as the main line, it proposes and elaborates the key technologies of the intelligent maintenance and health management of coal mine equipment driven by big data, including the unified description and analysis of multi-source heterogeneous big data, and intelligent fault diagnosis of coal mine equipment. Technology, health evaluation and prediction technology, intelligent maintenance decision-making technology, etc. Through the implementation of the above-mentioned system architecture and key technologies, data-driven life-cycle intelligent decision-making is realized, which promotes the continuous optimization and improvement of equipment process management and reduces business costs. The proposed system architecture provides a reference model for subsequent development.


Author(s):  
Sasu Tarkoma ◽  
Jani Heikkinen ◽  
Jilles van Gurp

In this chapter, we outline an event-based infrastructure that combines the Session Initiation Protocol (SIP) and Web technologies in order to realize secure converged mobile services. Our main service scenario has been supporting proactive information delivery to airline customers. This application built on top of the infrastructure is designed to help customers in several airport activities, such as check-in and boarding, and to enable highly crowded airports to offer consumer services. We focus on the two key technologies, namely SIP and Web technologies, and outline a distributed system architecture that was developed for the airline scenario. The scenario involves supporting the identification and tracking of users across different networks, enabling proactive information delivery (push) to the devices, and supporting rich multimedia interactions with users. The push system architecture is based on a lightweight access network consists of access points and edge proxies. The edge proxies connect the mobile users to the information backbone in a secure way using TLS or DTLS connections.


Author(s):  
Nadezhda Zaitseva ◽  
Sergey Lupuleac ◽  
Valeriia Khashba ◽  
Julia Shinder ◽  
Elodie Bonhomme

Abstract Variation simulation of final aircraft assembly concerning compliance and contact interaction of parts requires the specialized approaches to setting and generation of initial gaps between the joined parts. The initial gap reflects all assembly deviations for the joining parts. In this paper two models for the generation of the initial gap samples are considered: the random field model and the mode-based model. The random field model represents the initial gap as a random field with defined properties. The mode-based model decomposes the initial gap into a series of natural modes of the parts. Typically for the real assembly processes, there is not enough accessible information about initial gaps. If the measurements are not included in the production process, then the number of measured samples can be small. The goal of this paper is to compare how considered initial gap models cope with the small number of given measurements. The models are examined on the example of wing-to-fuselage assembly process. For the considered process both initial gap models are trained on different amounts of measurements, and generated gaps are applied for the variation simulations. The comparison with measured gaps allows to determine which method is the most suitable during variation simulation with limited measurement data. The performed study shows that the mode-based approach is more accurate for initial gap modeling in case of the small number of available measurements.


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