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Optimization Method For Process Reconfiguration Of Complex Components In Multi-variety And Small-batch Aerospace Enterprises

Posted on:2022-05-18Degree:MasterType:Thesis
Country:ChinaCandidate:Y T LuFull Text:PDF
GTID:2492306728973959Subject:Master of Engineering
Abstract/Summary:PDF Full Text Request
With the accelerating process of global economic integration,the market demand tends to be personalized and customized.The traditional mass production of single variety can no longer meet the demand of the current market,therefore,enterprises have transformed their production mode to the one with multiple varieties and small batch.As one of the pillar industries of national security and economic development,aerospace manufacturing industry,in the face of the requirements of multiple-varieties,small-batch and rapid customization,the traditional manufacturing mode has the problems of poor quality consistency,low production efficiency and low timeliness of problem processing,which makes the risk and cost of model development increase significantly.It is urgent for aerospace manufacturing enterprises to adjust the production process of aerospace complex components through intelligent manufacturing technology so as to solve the efficiency and quality problems in production.Therefore,it is of high theoretical and practical significance to study the process reconfiguration of aerospace complex components in the mode of multi-variety and small-batch.Based on this,this paper takes the processing of the typical aerospace complex components such as complex structural frame,thin-walled plate and cabin of an aerospace enterprise as the research object,and studies the process reconfiguration of complex components from the aspects of processing method mapping,manufacturing resource matching,process reconfiguration model establishment and intelligent solution algorithm design.The main research contents of this paper as follows:(1)Aiming at the problem of low efficiency of process decision-making caused by poor matching between parts features and manufacturing resources,a mapping model between structural features of aerospace complex components and process routes is established.Based on fuzzy mathematics theory and rule reasoning method,the fuzzy relationship between structural features,processing methods and manufacturing resources is constructed.The alternative processing methods and manufacturing resources for each feature are obtained,which laid a foundation for the subsequent process reconfiguration of aerospace complex components.(2)Aiming at the problems of low production efficiency and high cost caused by the variety of complex aerospace components and frequent process switching,a process reconfiguration optimization method for aerospace complex components based on improved honey bee mating optimization algorithm is proposed.The process reconfiguration model of aerospace complex components is established to minimize the makespan,the total operation time of machine and the cost of machine and tool.The honey bee mating optimization algorithm combined with greedy algorithm is used to solve the process reconfiguration model.The encoding and decoding mode,queen bee preservation strategy and worker bee cultivation mechanism are designed in detail,which effectively improves the performance of the algorithm and achieves the purpose of cost reduction and efficiency increase.(3)In order to verify the correctness and effectiveness of the process reconfiguration optimization method proposed in this paper,typical complex components such as complex structure framework,thin-walled plate and cabin produced by an aerospace manufacturing enterprise are taken as examples.The feasibility of the model and algorithm is verified by comparing the differences in makespan,total operation time of machine and using cost of machine and tool before and after process reconfiguration.
Keywords/Search Tags:Multi-variety and small-batch, Processing method mapping, Fuzzy mathematics theory, Process reconfiguration, Honey-bee mating optimization(HBMO)
PDF Full Text Request
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