| Assembly plays an important role in the product manufacture process.Assembly sequence planning is an important process of product digital assembly planning.The quality of the Assembly sequence planning results has direct influence on the quality,service life and performance.With the development of the digital design and digital manufacturing.The computer aided assembly planning has become a hot issue at home and abroad.This paper takes a component of general aviation product as the research object,The assembly information needed for assembly sequence planning of complex product is analyzed,Product assembly information model is established with the relational model and the hierarchical model.The assembly relation matrix,including support location matrix,connection matrix and local interference matrix is established,the extraction process and extraction algorithm of the local interference matrix are mainly studied.The interference is detected by bounding box projection detection and bounding box acceleration detection,the fast generation of local interference matrix for assembly sequence planning is realized.The paper also analyzes the factors that affect the product assembly sequence planning,The objective of assembly geometry feasibility,the number of replacement times of assembly tools,stability of assembly sequences,assembly redirection times are built to establish the evaluation index and its calculation method,And the evaluation index function is constructed.According to the idea that components can be installed if they can be detached,genetic algorithm combined with ant colony hybrid algorithm is used to plan the assembly sequence.In the end,the product assembly information is extracted automatically with a three-dimensional model,a hybrid algorithm is used to solve the assembly sequence,the generation of the optimal assembly sequence is realized,and the feasibility of the algorithm is verified in the CATIA environment through secondary development tool CAA. |
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