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Research On Integrated Optimization Of The Processing For Centrifugal Impeller Blades

Posted on:2014-11-03Degree:MasterType:Thesis
Country:ChinaCandidate:X W ZhanFull Text:PDF
GTID:2252330401990280Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
The aviation engine performance is an important symbol of a country’s industrialstrength. Its digital manufacturing level is one important indicator to measure a country ofadvanced manufacturing technology. As one of the key components of the aero-engine, theresearch of high precision CNC machining technology on centrifugal impeller is an importantway to improve the modern advanced manufacturing enterprise core competitiveness. Withour advanced manufacturing technology has become more sophisticated since the reform andopening up, aviation engine has been self-developed in China, but its performance andstability has a big gap compared to the foreign level. Impeller blades are non-developableruled surface, in order to ensure uniform radial distribution of the air flow in the work, CNCmachining is very difficult. Due to its characteristics of thin-walled structures, lead to largedeformation error and Processing parameters unreasonable for blade milling processing. Toresolve the above problems in the centrifugal impeller machining, it is necessary to build aprediction model and accurately calculate the processing milling force, then the combinedeffects of deformation of the tool and the workpiece on the machining accuracy and surfacequality investigated process parameters on the accuracy and efficiency of processing arestudied, finally its process is integrated optimization. In this paper, by the orthogonalexperiment method, finite element method, flexible iterative compensation as well as millingtest, and based on the UG/Open GRIP, VERICUT, ANSYS, MATLAB software platform, theproblems existing in the impeller blade milling are deeply studied. The main works can beconcluded as the following:1) Research on Milling force prediction model. Based on orthogonal test, four importantprocess parameters are selected to start milling test. With the help of Milling force datainformation collected, linear regression equation is applied to get the influence of processingparameters, by which the influence of parameters on processing force is studied. By the use ofMicro-element integral method and empirical formula, the ball end mill milling forceprediction model is established, and the two model milling force prediction error arecompared.2) Tool path optimization on machining distortion error compensation. Comprehensivelyanalyzing the features of machining distortion error model, where the tool and the workpiecelocated, the deformation of the tool and the workpiece in the processing of cutter location arecalculated by the finite element method. Through theoretical analysis and results of numericalcalculation deformation, the overall deformation yaw is solved. Based on flexible iterative compensation law, the blade machining distortion is compensated with the new cutter locationtrajectory calculated.3) Optimization of process parameters in centrifugal impeller blade machining. For lowefficiency, poor machining quality and high cost of centrifugal impeller blade machining, withthe combination of optimal design theory and the processing limit, based on the Optimizedobjective function of maximum production efficiency, lowest cost of production and the bestprocessing quality, Combined optimization design theory based on environmental constraintsdetermine the optimal processing constraints, the multi-objective optimization mathematicalmodel of process parameters in centrifugal impeller machining is established and solved.In conclusion, the research in this article improving the level of processing technology ofcentrifugal impellers is of great significance, and the firm foundation is established to thecentrifugal impeller efficient precision CNC machining technology.
Keywords/Search Tags:Centrifugal impeller blades, Milling force prediction, Deformation ErrorCompensation, Tool position optimization algorithm, Optimization of processparameters
PDF Full Text Request
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