Research On The Optimization Of Milling Parameters And Simulation Of Thin-walled Parts Based On The Machining Errors Control

The cutting process of thin-walled parts is prone to deform, and it's difficult to ensure precision. So it has a great significance to research on optimization of cutting parameter of thin-walled parts for reducing the cost of production and improving the cutting accuracy and equipment utilization. By using modern cutting theory, finite element simulation, mathematical modeling and model-based analysis, the optimal combination of cutting parameters can be found, and it is an important technology for modern machining process.Based on metal cutting theory and computer simulation technology, in this paper the milling process was studied, a neural network deformation prediction model was designed, and an optimization model with genetic algorithm was established, after that the milling parameters optimiazation system was fulfilled. Main achievements are as follows:1. Based on the themo-mechanical coupled elastic-plastic finite element method, the three-dimensional finite element model of milling process was established by ABAQUS software, and the deformation in milling process was analysised and the correctness of it was verified by experiment.2. In order to build the relationship of the cutting parameters and the maximum deformation, the neural network method based on the finite element prediction was studied. Input the simulation data into BP eural network and train them, and finally the BP network deformation prediction model was determined.3. In order to select the best cutting parameters, a mathematical model of optimization function was established, and the cutting parameters were optimised using the genetic algorithm. By comparing the outcome of finite element with experienced parameters, it was found that using optimized processing parameters can get a better accuracy, lower costs and higher processing efficiency.4. Based on the above-mentioned study, a thin-walled piece of CNC Milling Parameter Optimization System was developed, using VC + +6.0 as development platform, and SQL Server 2000 as database. The system fulfilled the basic data management, deformation prediction and optimization of cutting parameters and other functions.