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Drilling Control Technology Research And Process Optimization For Flange Surface Hole Of Thin-walled Cylinder Parts

Posted on:2019-03-05Degree:MasterType:Thesis
Country:ChinaCandidate:J H HuFull Text:PDF
GTID:2382330545450788Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
The thin-walled cylinder of aeroengine casing is one important part of the high temperature load bearing in the engine combustor.The material is difficult to be machined.It has the characteristics of complex structure,high processing precision and easy processing.The problem of machining quality and processing efficiency has always been the difficulty of the industry.With the traditional processing technology,the workpiece processing efficiency is low and the quality is not guaranteed.The study taken a thin-walled cylinder as the specific research object,numerical control processing technology is designed to replace the traditional technology The processing methods of processing deformation control are studied to solve the problems of the processing quality of the machining deformation in order to improve the machining quality of thin-walled cylinder parts.The main contents of this study are as follows:1)Based on the drilling mechanism,the stress situation in the drilling process is analyzed and the drilling mechanics model is established.Based on the elastic deformation theory,the deformation model of the flange hole drilling is established,and the mutual transformation formula between the deformation and the machining error is deduced.The finite element simulation model of the part drilling is set up,and the theoretical calculation and the actual inspecti on are also established.Compared and analyzed the results,the correctness of the simulation model is demonstrated.Based on the simulation model,the numerical simulation of the drilling process is carried out to obtain the change of the stress and strai n of the parts during the machining process.The research shows that the elastic deformation of the workpiece is the main factor that affects the machining precision.2)According to the elastic deformation caused by the feature drilling of the flange hole of the thin-walled cylinder,the adaptive support fixture is designed to control the deformation,and the fixture is optimized by numerical simulation.The reliability and effectiveness of the fixture are verified by controlling the feature deformation of the part hole,and the part is compared with the working condition without the fixture.The maximum deformation of each drilling analysis step indicates that the jig can significantly reduce the deformation of the parts,verify the feasibility of the fixture,and provide reference for the design of the fixture for the same kind of parts.3)Combined with fuzzy evaluation theory,we made a deep research on the decision-making of feature processing technology for hole parts.The fuzzy evaluation factor set,the set of alternatives,the membership degree function and the single factor evaluation submatrix are established,and the optimization of the processing scheme of the feature processing of the hole parts is realized by combining the weight value of the evaluation factors and the fuzzy synthetic operation rules.On the basis of the old processing technology regulations,the process route of machining the flange surface of the thin-wall casing is further optimized on the basis of the old processing technology regulations,processing methods,processing equipment and processing order.4)Aiming at the face processing of the flange end of the parts,the optimization theory model of the cutting parameters is set up with the processing efficiency as the objective function,and the particle swarm optimization is used to find the optimal solution.The results show that the optimized parameters can meet the working quality and save the processing time effectively by comparing the numerical simulation with the original parameters.
Keywords/Search Tags:Thin-walled cylinder, Drilling deformation, Aadaptive support fixture, Optimization of process, Particle swarm optimization
PDF Full Text Request
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