基于实测数据阵列式多组件虚拟装配技术研究

Research on Array Multi-component Virtual Assembly Technology Based on Measured Data

防热结构组件装配时,会因间隙阶差误差累积导致装配反复,目前国内外对阵列式多组件虚拟装配技术研究较少。为提升防热结构组件装配精度,减少装配次数,提出了一种基于实测数据的阵列式多组件虚拟装配技术。根据间隙阶差模型,提出以位姿参数向量对组件进行位姿优化迭代,构建了装配目标位姿优化方程,基于量子粒子群算法对位姿参数进行求解,实现了阵列式多组件虚拟装配。实验结果表明,虚拟装配后93%的组件间隙偏差在0.1 mm以内,其余均在0.12 mm范围内,全部组件阶差偏差在0.1 mm以内,相较于装配前,精度至少提升50%。由此证明该虚拟装配技术可行性,能有效提高现场装配效率。

During the assembly of heat-resistant structural components,t he assembly will be repeated due to the accumula-tion of gap order error.At present,t here are few researches on array multi-component virtual assembly technology at home and abroad.In order to improve assembly accuracy and reduce assembly times of heat-resistant structural components,an array multi-component virtual assembly technology based on measured data was proposed.According to the clearance order difference model,t he pose optimization iteration was carried out with pose parameter vector;and the array multi-component virtual assembly was realized by solving pose parameter.The experimental results show that after virtual assembly,93%of components'clearance deviation is within 0.1 mm,t he rests are within 0.12 mm,and the order deviation of all components is within 0.1 mm.Compared with before assembly,t he accuracy is improved by at least 50%.It is proved that the virtual assembly technology is feasible and can effectively improve the on-site assembly efficiency.