Research On Process Knowledge Mining And Reuse Technology Of Spacecraft Valve Sleeve Parts

At present,spacecraft valve sleeve parts are widely used in various spacecraft.The status quo of low part process planning efficiency and uneven process quality have led to problems such as long development cycles and unstable quality in spacecraft development,which have severely restricted the development of my country’s aerospace industry.With the multi-model,multi-variety,and small-batch production method of the spacecraft,a lot of historical process data has been accumulated in the production.The use of algorithms to obtain hidden process knowledge and experience from these large amounts of process data will greatly meet the needs of enterprises.Historical data is transformed into a demand for knowledge,and the reuse of this knowledge can effectively improve the manufacturing quality and efficiency of spacecraft valve sleeve parts.In this regard,research on technology knowledge mining and reuse of valve sleeve parts is carried out.Aiming at the problem of difficulty in acquiring knowledge for the selection of feature processing chain of spacecraft valve sleeve parts,the D-S evidence theory is used to carry out knowledge mining research.This method first analyzes the process realization requirements that affect the selection of characteristic processing chains,counts the selection probabilities of all processing method chains corresponding to different process realization requirements,and excavates the actual selection rules.Then,the mining method chain selection probability is used as the basis for process decision-making,the D-S evidence theory is used to realize the selection decision of the feature processing chain,and the hole feature is taken as an example for research.Aiming at the problem of manual and inefficient process route planning for spacecraft valve sleeve parts,a process route optimization method based on improved harmony search algorithm is studied.This method analyzes the mapping relationship between the process route optimization process and the harmony search algorithm,and establishes the harmony search algorithm model with the lowest processing cost as the objective function;uses the improved topological sorting method to guide the generation of the initial harmony library,and the algorithm is integrated into the genetic algorithm crossover Operators,elite selection strategies and adaptive harmony algorithm parameter settings have improved the optimization effect of the algorithm;finally the dynamic adjustment of pa rts processing resources and processing methods is realized,and the processing process route with the optimal objective function is obtained.In view of the problem that there are different processing options for the same part,the research is based on the entropy weight method and the gray relational analysis method to comprehensively evaluate the process plan evaluation.This method first considers the ten indicators of the four types of criteria: processing cost,production quality,processing efficiency,and low-carbon environmental protection,and establishes a process plan evaluation model.Then the weight of each index in the process plan is calculated by the entropy weight method,and the correlation degree between the different plans is calculated with the gray correlation analysis method,and finally the order of the different processing plans is determined,and the plan recommendation is given.Finally,the process knowledge management and reuse system is designed and developed to meet the requirements of intelligent process design of spacecraft valve sleeve parts.By analyzing the functions needed in the actual work,the product information management module and process route optimization module are developed,and the algorithm deployment and software interface writing are carried out.Finally,the tool support is provided for the process design of spacecraft valve sleeve parts.