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Balance Simulation Of Aero Engine Casing Production Line

Posted on:2020-06-22Degree:MasterType:Thesis
Country:ChinaCandidate:Y K JiFull Text:PDF
GTID:2392330596982825Subject:Vehicle engineering
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In recent years,as China's aviation industry develops,the number of aircraft has increased by 10% annually,but the backward production lines can not meet the demand for the number of aircraft.This paper mainly studies the production line of casing processing type of A company,optimizes the production line balance,fully improves the utilization rate and productivity of processing equipment,so as to bring benefits to the company.Firstly,this paper studies the technological process and layout of the original production line of Company A,and analyses the factors affecting the production capacity and equipment utilization ratio of this production line.Then three schemes are adopted to optimize the production line.The first one is to improve the production line by adding the number of bottlenecks.The second one uses ECRS principle to simplify the process of continuous use of the same equipment,and improves the layout of the production line in combination with the advantages of the layout of U-shaped production line.The third is to establish a mathematical model and solve it by Lingo,an optimization tool.Three optimization schemes lay the foundation for modeling and simulation.Secondly,Visual Components is selected as the modeling and simulation tool for the casing production line,and the model base for the models used before and after the optimization of the production line is established,including the casing model base,machine tool model base and other auxiliary model base,so as to facilitate the operation in the modeling process.Then,the models used in the layout of the casing production line before and after optimization are accurately placed in the layout of the production line by translation transformation,rotation transformation and scaling transformation.Finally,the modeling of the production line before and after optimization is completed.Then,the simulation software is developed,mainly including the parametric information module,the simulation software statistics module and the important data report output module of the production line.The parametric module develops the interface through Python Tkinter and openpyxl package and saves the process time as Excel file.The development of the simulation software Statistics module mainly includes the utilization rate of the processing equipment,the average time of the work piece,the number of work pieces completed and the running time of the equipment.The dynamic display function of the graphics of the Statistics module is developed through the API interface of the simulation software.The development of data output module of production line is to localize the important parameters of each processing equipment after the simulation is completed.In the simulation software,Works Library intelligent library is used to complete the creation of model actions and behaviors,and the simulation time is 1600 hours and the walking speed of operators is 1000mm/s.Finally,by comparing and analyzing the important data reports generated before and after optimization,it can be seen that the output of casing and the utilization rate of processing equipment of the optimized production line are much higher than that of the original production line.The output of the original production line is 50,and the output of the first,second and third schemes are 95,94 and 226,respectively.Compared with the original production line,the output of the original production line is increased by 45,44 and 176 pieces.Then the simulation process of the second production line is simulated by C++ program.When the buffer capacity is increased before the bottleneck equipment,the utilization rate of the upstream equipment will also increase.However,the increase of buffer capacity between downstream equipment in the bottleneck process has no effect on the utilization rate of the equipment.
Keywords/Search Tags:Production Line Optimization, Production Line Modeling and Simulation, Equipment Utilization Rate
PDF Full Text Request
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