Research On Airfoil Assembly Sequence Planning Based On Chaos-Genetic Algorithm And Virtual Assembly Simulation Technology

Assembly sequence planning is an indispensable part of the product assembly process.A good assembly sequence can not only improve the overall assembly efficiency of the product,but also effectively improve the assembly quality of the product,especially for mechanical products with complex structures and large sizes.This paper takes the airfoil as the research object.By analyzing its structural characteristics and dividing the structure,a method of optimizing the wing assembly sequence based on the assembly information model and assembly matrix as the data support,and the evaluation index and intelligent algorithm as the optimization basis was established.The verification and analysis are completed through virtual assembly simulation technology.The main research contents of the thesis include:(1)Through the separation surface design of the wing,the structure division is completed,and the hybrid assembly structure model of the assembly is established by combining the hierarchical structure and the directed graph structure to express the structural relationship,constraint relationship,assembly direction,assembly direction and Own attribute information of the components of the assembly.(2)The actual assembly constraints,assembly relations and other information are quantified to establish an assembly priority relationship matrix for the order of parts and a non-orthogonal interference matrix that increases the assembly direction for the shape characteristics of the airfoil.The actual assembly constraints,assembly relations and other information are quantified to establish an assembly priority relationship matrix for the order of parts and a non-orthogonal interference matrix that increases the assembly direction for the shape characteristics of the wing.Through the analysis of the influencing factors in the product assembly process,a product assembly evaluation method with assembly geometric feasibility,assembly stability,assembly tool aggregation and assembly direction consistency as indicators is established,and an optimization objective function is constructed.(3)By combining genetic algorithm and chaotic algorithm,assembly sequence planning is established.Chaos disturbance is added to the population initialization to increase the diversity of the population,and the feasibility judgment is completed by assembling the matrix to optimize the initial population.Then,the selection operation is changed through chaotic disturbance,and the determination method and generation mechanism of the cross mutation point are changed.Finally,the verification is completed through examples,and the assembly sequence planning platform is built.(4)The process design of the airfoil assembly process is carried out through the DELMIA,and the resource tasks are assigned to the PPR tree.The assembly path is designed,and the interference check analysis of assembly simulation is completed.The assembly process is optimized according to the results to meet the requirements of interference analysis.Finally,the rationality of the assembly sequence and assembly path is verified through simulation animation.