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飞机复材主承力结构数字化高性能装配协调技术研究与应用

Research and Application of Digital High Performance Assembly Coordination Technology for Aircraft Composite Main Bearing Structure
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摘要 为满足新一代大型飞机复合材料主承力结构高精度、低损伤、低应力的装配性能与技术指标保证需求,本文以产品多种类关键特征耦合分析与控制为装配协调设计线索,以工程化应用研究为主线,系统地阐述了以关键特征识别、三维工艺容差仿真分析、装配过程变形预测、实测数据预装分析、高精度装配补偿等方法为主要技术路径的飞机复材主承力结构数字化高性能装配协调技术体系,并以典型复材外翼盒段部件装配为对象,对上述体系方法进行了全流程工程应用研究与试验验证,解决了复材外翼盒段部件装配协调设计与产品补偿策略设计问题,产品装配质量满足设计要求。 In order to meet the requirements of high-precision,low-damage,low-stress assembly performance and technical indicators of the composite main bearing structure of the new-generation large aircraft,this paper takes the coupling analysis and control of various key features of the product as the design clue,takes the engineering application research as the main line,and systematically expounds the digital high-performance assembly coordination technical system with key feature identification,tolerance simulation analysis,deformation prediction in assembly process,preassembly analysis of measured data and high-precision assembly compensation as the main technical paths.Taking the assembly of a typical composite outer wing box as the object,the above method is applied to a complete whole-process engineering application research and experimental verifcation,which solves the problems of assembly coordination and product compensation strategy design of the composite outer wing box components.The product assembly quality meets the design requirements.
作者 杨亚鹏 赵安安 杜坤鹏 彭云 李游 郭飞燕 YANG Yapeng;ZHAO An’an;DU Kunpeng;PENG Yun;LI You;GUO Feiyan(AVIC Xi’an Aircraft Industry Group Company Ltd.,Xi’an 710089,China;Zhejiang University,Hangzhou 310058,China;University of Science and Technology Beijing,Beijing 100083,China)
出处 《航空制造技术》 CSCD 北大核心 2024年第16期14-31,共18页 Aeronautical Manufacturing Technology
关键词 复材主承力结构 飞机装配协调 装配关键特征 三维工艺容差 装配过程变形 数字化预装分析 Composite main bearing structure Aircraft assembly coordination Assembly key characteristic Three-dimensional process tolerance Deformation in assembly process Digital pre-assembly analysis
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