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Research On Intelligent Correction Strategy Of Irregular Annular Parts

Posted on:2019-03-17Degree:MasterType:Thesis
Country:ChinaCandidate:K BiFull Text:PDF
GTID:2382330566963138Subject:Mechanical and electrical engineering
Abstract/Summary:PDF Full Text Request
With the acceleration of industrial upgrading,a large number of mechanical and electrical products scrapped ahead of time,scrap mechanical and electrical products improper treatment will cause land occupation,environmental pollution and serious waste of resources.Deformation failure is one of the main failure modes of mechanical parts.however,the research on the correction technology and theory of parts in remanufacturing process,especially Annular Parts,is rarely involved in China.Based on the existing elastic-plastic bending elastic-plastic theory,this paper analyzes the problems existing in the application of existing ring correction technology in remanufacturing industry,and tries to combine genetic algorithm with finite element method,and by means of machine vision,to study a method for intelligent correction of Annular Parts in remanufacturing process.First,the annular parts to be calibrated are classified according to their crosssectional shape and deformation type,and a correction strategy is proposed for ringshaped parts with typical curvatures such as small curvatures: based on the basic assumptions of mechanical theory analysis,the annular parts are divided into multiple In the micro-ring segment,the process of squashing the annular part under the action of double and triple symmetrical radial forces is analyzed.The formula for calculating the curvature of the micro-ring neutral section of the annular part before and after unloading is deduced,and the relative stroke of the calibration indenter is established.The linear relationship between the relative roundness of the part,after unloading and the similarity between the round squashing process and the flat sizing process is analyzed through physical experiments.Based on this,the relevant algorithms for the calibration strategy are analyzed and formulated.Finally,verify by example analysis and experiment.Secondly,for other types of toroidal parts that are difficult to solve in the elastoplastic mechanics theory,a genetic algorithm and finite element method are used to solve the solution of the correction process parameters: a mathematical model for correcting process parameters is established to correct the process parameters.The design variables,corrected relative roundness are objective functions,and genetic algorithm programs are written;then Python parameterized modeling scripts are written through the Abaqus script interface,and the simulation results are used to calculate the individual fitness degree in the genetic algorithm program to realize the genetic algorithm.Combined with the finite element method;by running the genetic algorithm program in ABAQUS,the optimal correction process parameters are obtained.The final example analysis and experimental verification show that: this method has a good correction effect.Thirdly,an intelligent correction control strategy based on machine vision is proposed,which locates the parts to be corrected through deformable template matching,so as to obtain the deformation information of the parts in real time and provide relevant parameters for the formulation of the correction strategy;After the correction strategy is formulated,the position of the correction pressure head and the support block is positioned in real time through the rotatable template so as to realize the real-time monitoring of the correction process;This paper studies the relevant algorithms of part edge radius measurement,realizes the automatic measurement of relative roundness after part correction,and lays a theoretical foundation for the development of intelligent correction system.Finally,an intelligent correction system for annular parts with various shapes and deformations is designed.The system mainly includes the design and manufacture of three-point bending correction experiment table,the selection and debugging of image acquisition device,and the automatic control software based on machine vision,which is written by using.Net framework 4.6.1,MATLAB software and image processing development tool Halcon.The intelligent correction system can realize the functions of image acquisition,deformation information acquisition,correction strategy formulation,real-time prediction and real-time monitoring of correction process parameters,correction stroke control,correction quality monitoring and the like of the parts to be corrected,and basically realizes the intelligent correction of the annular parts.
Keywords/Search Tags:Remanufacturing, Part deformation, Correction, Intelligent optimization, Machine vision
PDF Full Text Request
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