期刊文献+

基于遗传算法的飞机弱刚性件夹持方案优化设计 被引量:4

Optimization Design of Aircraft Weak Rigid Parts Clamping Scheme Based on Genetic Algorithm
下载PDF
导出
摘要 针对飞机装配过程中零件刚度弱、易变形的特点,提出了一种基于遗传算法的飞机弱刚性薄壁件夹持方案优化方法。该方法以自重等外载引起的薄壁件最大变形量最小为目标,建立夹持布局和夹紧顺序同步优化模型,通过有限元仿真获得夹持方案下薄壁件最大变形量,利用遗传算法和有限元批处理技术实现优化模型求解。以飞机典型零件长桁为例,验证了该方法的可行性和有效性。 In view of the characteristics of weak rigidity and easy deformation of parts during aircraft assembly process,an optimization method based on genetic algorithm for the clamping scheme of the weak rigid thin-walled parts of the aircraft is proposed.The objective of this method is to minimize the maximum deformation of thin-walled components caused by gravity external loads.A synchronous optimization model of clamping layout and clamping sequence is established.The maximum deformation of the thin-walled components under the clamping scheme is obtained through finite element simulation,and the optimization model is solved by genetic algorithm and finite element batch technology.Finally,taking the typical aircraft part long truss as an example,the feasibility and effectiveness of the method are verified.
作者 李西宁 王悦舜 李玉华 王守川 LI Xining;WANG Yueshun;LI Yuhua;WANG Shouchuan(Key Laboratory of Contemporary Design and Integrated Manufacturing Technology,Ministry of Education,Northwestern Polytechnical University,Xi'an 710072,China;Tooling Design Institute of China Aviation Aircraft Co.,Xi'an 710089,China)
出处 《航空制造技术》 2019年第1期82-86,94,共6页 Aeronautical Manufacturing Technology
基金 装备预研共用技术项目(41423010202)
关键词 飞机装配 弱刚性薄壁件 夹持变形 夹持方案优化 遗传算法 有限元 Aircraft assembly Weak rigid thin-walled parts Clamping deformation Gripping optimization Genetic algorithm Finite element
  • 相关文献

参考文献6

二级参考文献18

  • 1WangJian ZhouJiangqi LinZhongqin.LOCATORS OPTIMIZATION FOR MEASURING FIXTURE DESIGN[J].Chinese Journal of Mechanical Engineering,2004,17(3):332-335. 被引量:5
  • 2戴一帆.复杂形状薄壁零件加工的综合质量控制[J].国防科技大学学报,1996,18(3):59-62. 被引量:2
  • 3CAI W, HU S J, YUAN J X. Deformable sheet metal fixturing: Principles, algorithms and simulations [J]. Journal of Manufacturing Science and Engineering, 1996, 118 (8): 318-324. 被引量:1
  • 4WU N H, CHAN K C. A genetic algorithm based approach to optimal fixture configuration [J]. Comput. Ind. Engng., 1996, 31 (3-4): 919-924. 被引量:1
  • 5ISHIKAWA Y, AOYAMA T. Optimization of fixturing condition by means of the genetic algorithm [J]. Trans. JSME Part C, 1996, 65 (598): 2 409-2 416. 被引量:1
  • 6KRISHNAKUMAR K, NELKOTE S N. Machining fixture layout optimization using the genetic algorithm [J]. International Journal of Machine Tools and Manufacture, 2000, 40: 579-598. 被引量:1
  • 7XU Y G, LIU, G R, WU Z P. A novel hybrid genetic algorithm using local optimizizer based on heuristic pattern move [J]. Appl. Artif. Intelligence, 2001, 15 (7): 601-631. 被引量:1
  • 8LIU G R, HAN X. Computational inverse techniques in nondestructive evaluation [M]. Florida: CRC Press, 2003. 被引量:1
  • 9Menassa R J, DeVries W R. Optimization method applied to se- lecting support position in fixture design[ J]. ASME Journal of Engineering for Industry, 1991,113:412 -418. 被引量:1
  • 10Li B, Shreyse M N. Improved workpiece location accuracy through fixture layout optimization[J]. International Journal of MachineTools and Manufacture, 1999,39: 871 ~ 883. 被引量:1

共引文献109

同被引文献56

引证文献4

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部