scholarly journals On Sequential-Pattern-Based Intelligent Compilation of Aircraft Assembly Process

2021 ◽  
Vol 1820 (1) ◽  
pp. 012106
Author(s):  
Sen-Shan Ouyang ◽  
Liang Song ◽  
Xiang-Feng Liu ◽  
Chen Chen ◽  
Zhen-Yu Chen
Author(s):  
Sergey Lupuleac ◽  
Aleksandr Smirnov ◽  
Julia Shinder ◽  
Margarita Petukhova ◽  
Maria Churilova ◽  
...  

Abstract The complex model of fastener for the global modeling of aircraft assembly with regard to compliance and contact interaction of parts is introduced in the paper. The presented complex fastener model incorporates such effects as the stiffness of fastening elements; the loosening of fasteners and also the failure of fasteners (if the load exceeds the maximal value that fastener can hold). This model can be implemented for all types of fastening elements in variation simulation and assembly optimization analysis. It provides more realistic simulation results at expense of higher model dimension. The fastener is modeled as having an additional stretching stiffness. The option of fastener loosening is included by implementation of additional contact node in each fastening element. This option allows taking into account the pre-tension in fasteners and also enables the modeling of installation and removal of fasteners without change of stiffness matrix.


2021 ◽  
Author(s):  
Artem Eliseev ◽  
Sergey Lupuleac ◽  
Boris Grigor'ev ◽  
Julia Shinder ◽  
Jacques Bouriquet

2013 ◽  
Vol 328 ◽  
pp. 9-16 ◽  
Author(s):  
Zhan Lei Sun ◽  
Peng Fei Han ◽  
Gang Zhao

Assembly Sequence Planning (ASP) is an essential question for aircraft assembly process design. Modern aircraft assembly contains plenty of complex shape components, which have so many assembly features to ensure, this leads to a large number of feasible assembly sequences using traditional sequence planning algorithms; and it is hard to evaluate the contribution to assembly quality for every sequence. A methodology called Key Characteristics Based ASP is proposed in this paper, which can significantly reduce unavailable sequences and ensure key features for quality in assembly process designing compared with previous methods. The methodology focuses on the final assembly quality and considers it as Assembly Key Characteristics (AKCs) in the beginning of assembly process design. With tools such as AKCs decomposition, Datum Flow Chain, precedence constraint matrix, the methodology describes the main process for ASP. To verify the technologys effectiveness, this paper presents an application of the algorithm in an aircraft component assembly by an 863 program.


2006 ◽  
Vol 532-533 ◽  
pp. 640-643 ◽  
Author(s):  
Hong Jun Qiu ◽  
Hua Tao ◽  
Bin Tang Yang ◽  
Xiao Bin Gao

Domain knowledge representation is various and domain-concerned. The aircraft assembly process planning (A2P2) is a special domain, a lot of things should be taken into account, and the knowledge representation of A2P2 is complicated. It is focused on the knowledge representation of A2P2 in this paper. Based-on case, the framework of A2P2 knowledge is presented. The main considerations of A2P2 are analyzed, the transformation and reassembly of native A2P2 knowledge is studied, the features of A2P2 is acquired, and the formalizable framework of A2P2 is proposed. With BNF, a formal description of A2P2 knowledge is given.


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.


2018 ◽  
Vol 38 (1) ◽  
pp. 67-76 ◽  
Author(s):  
Liang Cheng ◽  
Qing Wang ◽  
Jiangxiong Li ◽  
Yinglin Ke

Purpose This paper aims to present a modeling and analysis approach for multi-station aircraft assembly to predict assembly variation. The variation accumulated in the assembly process will influence the dimensional accuracy and fatigue life of airframes. However, in digital large aircraft assembly, variation propagation analysis and modeling are still unresolved issues. Design/methodology/approach Based on an elastic structure model and variation model of multistage assembly in one station, the propagation of key characteristics, assembly reference and measurement errors are introduced. Moreover, the reposition and posture coordination are considered as major aspects. The reposition of assembly objects in a different assembly station is described using transformation and blocking of coefficient matrix in finite element equation. The posture coordination of the objects is described using homogeneous matrix multiplication. Then, the variation propagation model and analysis of large aircraft assembly are established using a discrete system diagram. Findings This modeling and analysis approach for multi-station aircraft assembly reveals the basic rule of variation propagation between adjacent assembly stations and can be used to predict assembly variation or potential dimension problems at a preliminary assembly phase. Practical implications The modeling and analysis approaches have been used in a transport aircraft project, and the calculated results were shown to be a good prediction of variation in the actual assembly. Originality/value Although certain simplifications and assumptions have been imposed, the proposed method provides a better understanding of the multi-station assembly process and creates an analytical foundation for further work on variation control and tolerance optimization.


2018 ◽  
Vol 202 ◽  
pp. 02004 ◽  
Author(s):  
Zhen Chen ◽  
Jianjun Tang

In order to improve the quality, efficiency and cooperativity of aircraft assembly, based on the analysis of the characteristics of aircraft assembly process, a method for assembly process design, simulation and application based on three dimensional (3D) product model was proposed. The basic working process and system structure of the method were introduced, and the 3D digital assembly process planning, design and simulation optimization application mode was explored. This method has been applied in the design of aircraft assembly process, the efficiency and synergy of process design have been greatly improved.


2015 ◽  
Vol 35 (2) ◽  
pp. 172-182 ◽  
Author(s):  
Liang Cheng ◽  
Qing Wang ◽  
Jiangxiong Li ◽  
Yinglin Ke

Purpose – The aim of this paper is to present a new variation modeling method for fuselage structures in digital large aircraft assembly. The variation accumulated in a large aircraft assembly process will influence the dimensional accuracy and fatigue life of airframes. However, in digital large aircraft assembly, variation analysis and modeling are still unresolved issues. Design/methodology/approach – An elastic structure model based on beam elements is developed, which is an equivalent idealization of the actual complex structure. The stiffness matrix of the structure model is obtained by summing the stiffness matrices of the beam elements. For each typical stage of the aircraft digital assembly process, including positioning, coordinating, joining and releasing, variation models are built using the simplified structure model with respective loads and boundary conditions. Findings – Using position errors and manufacturing errors as inputs, the variations for every stage of the assembly process can be calculated using the proposed model. Practical implications – This method has been used in a large fuselage section assembly project, and the calculated results were shown to be a good prediction of variation in the actual assembly. Originality/value – Although certain assumptions have been imposed, the proposed method provides a better understanding of the assembly process and creates an analytical foundation for further work on variation control and tolerance optimization.


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