Research on precision picking technology of Aircraft Assembly Standard Parts

Author(s):  
Yulong Lan ◽  
Guangku Xue ◽  
Ying Xie ◽  
Shiyong Liu ◽  
Jie Li ◽  
...  
Keyword(s):  
Author(s):  
Amos H.C. Ng ◽  
Jacob Bernedixen ◽  
Martin Andersson ◽  
Sunith Bandaru ◽  
Thomas Lezama

2021 ◽  
Vol 1820 (1) ◽  
pp. 012106
Author(s):  
Sen-Shan Ouyang ◽  
Liang Song ◽  
Xiang-Feng Liu ◽  
Chen Chen ◽  
Zhen-Yu Chen

2015 ◽  
Vol 35 (4) ◽  
pp. 317-328 ◽  
Author(s):  
Bo Xin ◽  
Yuan Li ◽  
Jianfeng Yu ◽  
Jie Zhang

Purpose – The purpose of this paper is to investigate the multi-skilled workers assignment problem in complex assembly systems such as aircraft assembly lines. An adaptive binary particle swarm optimization (A-BPSO) algorithm is proposed, which is used to balance the workload of both assembly stations and processes and to minimize the human cost. Design/methodology/approach – Firstly, a cycle time model considering the cooperation of multi-skilled workers is constructed. This model provides a quantitative description of the relationship between the cycle time and multi-skilled workers by means of revising the standard learning curve with the “Partition-And-Accumulate” method. Then, to improve the accuracy and stability of the current heuristic algorithms, an A-BPSO algorithm that suits for the discrete optimization problems is proposed to assign multi-skilled workers to assembly stations and processes based on modified sigmoid limiting function. Findings – The proposed method has been successfully applied to a practical case, and the result justifies its advantage as well as adaptability to both theory and engineering application. Originality/value – A novel cycle time model considering cooperation of multi-skilled workers is constructed so that the calculation results of cycle time are more accurate and closer to reality. An A-BPSO algorithm is proposed to improve the stability and convergence in dealing with the problems with higher dimensional search space. This research can be used by the project managers and dispatchers on assembly field.


2012 ◽  
Vol 271-272 ◽  
pp. 801-805
Author(s):  
Jia Jia Xu ◽  
Yuan Li ◽  
Jian Feng Yu ◽  
Jie Zhang

This paper aims to investigate the cell layout problem of aircraft assembly system. A mathematical model for this problem is proposed, taking into account the integration design of cell layout and logistics network. The means of logistics transportation are divided into horizontal transportation and space transportation, meanwhile, the logistics transportation route is calculated. Based on sequence pair, the presentation of solution structure for cell layout is put forward, and the solution structure is solved using simulated annealing algorithm. This method is applied successfully to the assembly cell layout of the fuselage-wing assembly system for a giant aircraft, and the result shows its feasibility and effectiveness.


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.


Work ◽  
2012 ◽  
Vol 41 ◽  
pp. 3738-3745 ◽  
Author(s):  
Fabrício Augusto Menegon ◽  
Frida Marina Fischer

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

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