组分(热力学)
计算机科学
特征(语言学)
人工智能
模式识别(心理学)
计算机视觉
物理
语言学
热力学
哲学
作者
Hao Yu,Tiance Ma,Meiqing Wang,Shi Li
标识
DOI:10.1109/crc.2019.00039
摘要
With the development of digital measurement technology and flexible pose adjustment technology, measurement assisted assembly (MAA) is adopted in large component alignment process to ensure assembly quality. Aiming to optimize alignment process and improve assembly quality, this paper proposes a feature-based pose optimization method. Firstly, the assembly constraint model based on assembly feature is elaborated and illustrates the constraint relationship between assembly feature, assembly characteristic and relative pose between components. Secondly, an assembly pose optimization method is introduced, which calculates the adjustment of component pose based on the coordination of mating characteristics and performance characteristics. This method includes coarse alignment pose optimization and target pose optimization. Finally, experiments are conducted in simulation environment, proving the proposed method is effective.
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