Research On Surface Roughness Prediction And Parameter Optimization Of High Speed Milling

The high speed cutting because of its higher efficiency and accuracy fully isapplied in various field. Even so, in order to make it further development, manyrestricting factors is waited for solving. At present, to obtain single one of the highefficiency and accuracy is not enough. How to simultaneously obtain higherefficiency under the parts accuracy guaranteed in order to better and fully play theadvantages of high speed machining. As a result, it has very important realisticmeaning that the key technologies of high speed milling surface roughness arestudied.The influence of various factors on the high speed milling surface roughness isanalyzed. The method of theory fuzzy is put forward to obtain more accurateprediction model. And the fuzzy system is trained by the algorithm which combinewith least square method and the basic ant colony algorithm. The contrast test showsthat the final convergence error of fuzzy system trained by improved algorithm isthe smallest and the convergence effect of which is optimal. The model obtained bythe fuzzy system is predicted through the test data and the correctness and accuracyof the model based on the new fuzzy system is proved to be better. In addition,milling parameter optimization mathematical model is established which putmachining accuracy and efficiency as the optimization goal and though the residualstress and the tool life as constraints. And the Dynamic Ant Algorithm GeneticAlgorithm is adopted to optimize the model calculation. The method not only retainsthe advantage of strong robustness of the original single algorithm but also improveits local searching ability and convergence. For different processing requirements,the accurate milling parameter combination can be got more quickly. Finally, withVisual C++6.0as the software development platform, milling parameteroptimization system is developed to realize the MATLAB software calls, which cancomplete rapid prediction of high-speed milling surface roughness. By the systemthe time of practical production is saved and the processing efficiency is improved. After the key technologies of surface roughness prediction based on high speedmilling and milling parameter optimization studied, the consumption of theresources in the process of actual production is reduced. The cost is reduced and theefficiency is improved. The advantages of high efficiency, high precision of the highspeed milling are fully played, and which is got more extensive application and lay asolid foundation for the further study of high speed milling.