当前位置: X-MOL 学术Robot. Intell. Autom. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Optimization of fastener pattern in airframe assembly
Robotic Intelligence and Automation ( IF 2.1 ) Pub Date : 2020-06-25 , DOI: 10.1108/aa-03-2019-0040
Sergey Lupuleac , Tatiana Pogarskaia , Maria Churilova , Michael Kokkolaras , Elodie Bonhomme

The authors consider the problem of optimizing temporary fastener patterns in aircraft assembly. Minimizing the number of fasteners while maintaining final product quality is one of the key enablers for intensifying production in the aerospace industry. The purpose of this study is to formulate the fastener pattern optimization problem and compare different solving approaches on both test benchmarks and rear wing-to-fuselage assembly of an Airbus A350-900.,The first considered algorithm is based on a local exhaustive search. It is proved to be efficient and reliable but requires much computational effort. Secondly, the Mesh Adaptive Direct Search (MADS) implemented in NOMAD software (Nonlinear Optimization by Mesh Adaptive Direct Search) is used to apply the powerful mathematical machinery of surrogate modeling and associated optimization strategy. In addition, another popular optimization algorithm called simulated annealing (SA) was implemented. Since a single fastener pattern must be used for the entire aircraft series, cross-validation of obtained results was applied. The available measured initial gaps from 340 different aircraft of the A350-900 series were used.,The results indicated that SA cannot be applicable as its random character does not provide repeatable results and requires tens of runs for any optimization analysis. Both local variations (LV) method and MADS have proved to be appropriate as they improved the existing fastener pattern for all available gaps. The modification of the MADS' search step was performed to exploit all the information the authors have about the problem.,The paper presents deterministic and probabilistic optimization problem formulations and considers three different approaches for their solution. The existing fastener pattern was improved.

中文翻译:

机身装配中紧固件样式的优化

作者考虑了优化飞机装配中临时紧固件图案的问题。在保持最终产品质量的同时最大限度地减少紧固件的数量是航空航天工业加强生产的关键推动因素之一。本研究的目的是制定紧固件模式优化问题,并在空客 A350-900 的测试基准和后翼到机身组件上比较不同的求解方法。首先考虑的算法基于局部穷举搜索。它被证明是高效和可靠的,但需要大量的计算工作。其次,在 NOMAD 软件(Nonlinear Optimization by Mesh Adaptive Direct Search)中实现的网格自适应直接搜索 (MADS) 用于应用代理建模和相关优化策略的强大数学机制。此外,还实现了另一种称为模拟退火 (SA) 的流行优化算法。由于整个飞机系列必须使用单个紧固件模式,因此对获得的结果进行了交叉验证。使用了来自 A350-900 系列的 340 架不同飞机的可用测量初始间隙。结果表明 SA 不适用,因为其随机特性不能提供可重复的结果,并且需要数十次运行才能进行任何优化分析。局部变化 (LV) 方法和 MADS 已被证明是合适的,因为它们改进了所有可用间隙的现有紧固件模式。对 MADS 的搜索步骤进行了修改,以利用作者掌握的有关该问题的所有信息。本文提出了确定性和概率优化问题的公式,并考虑了三种不同的解决方案。改进了现有的紧固件图案。
更新日期:2020-06-25
down
wechat
bug