航空学报 > 2010, Vol. 31 Issue (1): 143-150

面向维修性设计的民机产品拆卸序列规划方法

陆中, 孙有朝   

  1. 南京航空航天大学 民航学院
  • 收稿日期:2008-12-01 修回日期:2009-05-23 出版日期:2010-01-25 发布日期:2010-01-25
  • 通讯作者: 陆中

Disassembly Sequence Planning of Civil Aircraft Products for Maintainability Design

Lu Zhong, Sun Youchao   

  1. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics
  • Received:2008-12-01 Revised:2009-05-23 Online:2010-01-25 Published:2010-01-25
  • Contact: Lu Zhong

摘要: 维修拆卸序列规划是产品维修性设计的重要内容。深入研究了面向维修性设计的产品拆卸建模方法,将民机产品分为部件模块与联接件两部分,构建了部件联接图模型,通过关联矩阵描述了部件模块与联接件的相互关系。分两步给出了民机产品拆卸序列规划方法:利用干涉矩阵确定部件模块的可行拆卸方向,以拆卸代价最小为目标,提出了基于有序搜索的民机产品部件模块的拆卸序列规划算法;考虑联接件的拆卸顺序,以拆卸工具更换次数最小为目标,提出了基于基因成对交叉与变异的遗传算法的完整拆卸序列优化方法。最后,结合某飞机前起落架系统给出了应用实例,阐明了本文方法的有效性。

关键词: 维修性设计, 拆卸序列规划, 部件联接图, 有序搜索, 遗传算法

Abstract: Maintenance disassembly sequence planning is an important facet of maintainability design. This article presents a thorough study of the product disassembly modeling method for maintainability design. Civil aircraft products are divided into two categories of component-modules and joint-parts, and a component-joint graph is developed by describing the relationship between them with an incidence matrix. The disassembly sequence planning method of civil aircraft products is provided in two steps. First, the disassembly direction of component-modules is determined by an interference matrix, and the disassembly sequence planning method of component-modules is proposed based on an ordered search by taking the minimum disassembly expense as the optimization objective. Second, by taking into consideration the disassembly order of joint-parts, the whole disassembly sequence planning method is proposed based on the genetic algorithm of gene pair crossover and mutation by taking the minimum tool change time as the optimization objective. Finally, an application instance is presented of the disassembly sequence of the nose landing gear system of a certain civil aircraft to illustrate the validity of this method.

Key words: maintainability design, disassembly sequence planning, component-joint graph, ordered search method, genetic algorithms

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