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Research And Application Of Flexible Manufacturing Cell For Turbine Manufacturing Enterprises

Posted on:2022-06-25Degree:MasterType:Thesis
Country:ChinaCandidate:N ShuFull Text:PDF
GTID:2492306539979409Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of science and technology,turbines are more and more widely used in the fields of aero engines and gas superchargers.However,problems related to the process complexity,quality performance,manufacturing and production costs of turbines have also followed,so related Turbine manufacturing companies are facing huge opportunities and challenges.If these turbine manufacturing companies want to survive in this market,they must modernize information to ensure the performance and quality of turbines.Therefore,for a domestic company’s flexible manufacturing unit for turbine manufacturing,on the basis of adopting the best processing technology of the turbine manufacturing process,the production scheduling problem is modeled and algorithmic researched,and the flexible manufacturing unit information system is designed and developed to facilitate Realize the production control of turbines,improve production efficiency and increase profitability.First,set up a reasonable and effective turbine manufacturing process route according to the actual needs of the turbine manufacturing industry and workshops,and compare multiple processing processes to determine the best and most efficient turbine manufacturing process that best meets the production conditions.Through the selected manufacturing process route,the flexibility of turbine manufacturing is emphasized to ensure the high quality and high characteristics of the turbine.According to the production and processing conditions of the workshop,a flexible manufacturing unit suitable for turbine manufacturing is determined.By analyzing the basic composition,basic functions and advantages of the flexible manufacturing unit,clarifying the processing equipment and processing conditions,determining the processing model and processing steps,so as to determine the processing plan,and then apply the designed processing plan to the enterprise’s manufacturing execution system MES to help Enterprises realize "intelligent manufacturing" and improve production efficiency.Secondly,the description and solution of the workshop production scheduling problem is mainly to model the AGV production scheduling and algorithm research and design.Through the comparison of the convergence results of the traditional and improved genetic algorithms,highlight the advantages of the improved genetic algorithm,so choose to improve The genetic algorithm is used to design the flow chart of the algorithm steps,through the encoding,decoding,fitness function determination and calculation,selection,crossover,and compilation operations,and algorithm analysis and example calculations are performed to optimize the AGV in the workshop.Handling issues.Then,in order to make the flexible manufacturing unit more "intelligent",it can analyze and work out a MES system that complies with the relevant.Analyze the overall requirements of the system,determine each functional module,establish entity relationships for workshop quality inspection,and transform entity relationships into data models.By establishing the development environment,development model,supporting technology,software architecture,integration method,top-level design and other key content,design and develop the MES system,and verify the production scheduling model and algorithm.In this MES system,through the real-time control of the production line of the flexible manufacturing unit in the workshop,the control and recording of the production conditions,manufacturing processes,quality issues,and production data of the turbine,maximize the use of workshop equipment resources,improve production efficiency,and achieve In the production workshop,materials,BOM,process routes and other process resources are managed to realize systematic management of quality inspection and realize quality visualized management.
Keywords/Search Tags:turbine manufacturing, intelligent manufacturing, flexible manufacturing cell, production scheduling, genetic algorithm, manufacturing execution system
PDF Full Text Request
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