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Parameter Design And Performance Analysis Of Precision Forging Forming Process For Body Tube

Posted on:2021-07-23Degree:MasterType:Thesis
Country:ChinaCandidate:M F BiFull Text:PDF
GTID:2511306512483114Subject:Mechanical Manufacturing and Automation
Abstract/Summary:PDF Full Text Request
The radial precision forging process of the barrel is a precise and efficient method for manufacturing the barrel.The article analyzes the effects of process parameters on the performance of the barrel,and establishes the relationship between the mechanical and mechanical properties and the forging process parameters.Regression equations of forging ratio parameters and mechanical properties were established,and a fitting equation of radial strain and radial hardness was established by polynomial regression fitting.The software module development of the design process of mechanical properties and mechanical properties has realized the intelligent design of the barrel performance.In the barrel finite element analysis module,the user interface and the script file are combined to realize the parameterization of the finite element analysis.In order to obtain the relationship between process parameters and mechanical properties,the forging force,forging power,head clamping force,tail clamping force and workpiece speed during the actual forging process are analyzed,and the material hardness has the largest impact on the forging force.According to the test data,the forging force has been increased by 18%.The forging test is designed for the process parameters such as forging ratio,blank thickness and diameter ratio,and the influence of process parameters on the hardness of the barrel is analyzed,as well as the distribution rules of radial and circumferential hardness.By analyzing the impact of the hammer head structural parameters on the radial direction,it is obtained that the third indentation angle of the hammer head and the corresponding length are the biggest factors affecting the radial strain.Based on the radial distribution of the barrel strain and hardness,a polynomial regression equation with radial strain as the independent variable and radial stiffness as the dependent variable was established,and error analysis was performed to verify the accuracy of the mechanical performance prediction.In order to predict,optimize and evaluate the mechanical properties of the precision forged barrel and guide the radial precision forging process,the influence of forging process parameters on the mechanical properties of the barrel after forging was analyzed,and the barrel mechanics based on the multi-parameter response surface was proposed and optimized Performance prediction model.The accuracy of the mechanical performance model is verified by model prediction and actual error analysis.Based on a large amount of test and simulation data,the design specifications of the mechanical properties of the precision forged tube are established,and the design standard is provided for the range of the pressure for the precision forging process.The mechanical parameters were optimized for the mechanical properties,it is known that the forging ratio parameters meet the design requirements.Combining with the design specifications of the mechanical properties of the forged barrel,a barrel qualification evaluation and a quantitative evaluation of the barrel forging based on TOPSIS are proposed.A knowledge base was established for the precision forging process of the barrel.Based on the knowledge base combined with production rules and constraints,a geometric analysis knowledge model for the body forging process was established,and the parameterization of the elastic forging and the forging of the bore was achieved.Developed the process parameter design KBE system,realized the mechanical and mechanical performance process parameter assisted design intelligence,combined the interface design and the script file key parameter call to realize the finite element analysis parameterization.
Keywords/Search Tags:barrel precision forging, knowledge modeling, performance analysis, KBE system design
PDF Full Text Request
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