Study On Edge Damage And Material Removal Rate Of Ultrasonic Assisted Internal Grinding Of ZTA Ceramics

The high hardness and high wear resistance of engineering ceramics make them successfully used in the field of refractory and automotive components,with the expansion of the application of ceramic materials,new requirements of boundary quality and efficient removal are put forward.Because ultrasonic machining can improve the difficult machining properties of ceramic materials and improve the processing quality and processing efficiency,ultrasonic technology has been widely used in the processing of ceramic materials.In addition,support vector machine?SVM?makes it an indispensable tool for data regression analysis because of its excellent learning performance in data regression.Based on this,this paper studies the edge damage and removal rate of ultrasonic assisted internal grinding of ZTA ceramic.First,based on the theory of indentation edge broken assess toughness and ultrasonic assisted internal grinding force model,get inside the ceramic grinding edge damage depth model is obtained.Through the simulation analysis,it can be found that ceramic edge damage depth h decreases with the increase of the fracture toughness K_IC,and increases with the increase of load P;Based on the indentation fracture mechanics and ceramic material grinding removal theory,the ceramic internal grinding removal rate model is established,Through the analysis it is found that the cutting grooves width of single abrasive under ultrasonic grinding is wider than that of conventional grinding.The increase of cutting width will inevitably lead to the increase of material removal rate.Then,the grinding test was done,and results show that the edge damage degree of ZTA ceramic under ultrasonic vibration is obviously lower than that of ordinary grinding.At the same time,the comparison of the edge damage depths under different grinding depths shows that as the grinding depth increases,the edge damage depth increases obviously.In addition,the influence of grinding depth and speed of work piece on the material removal rate shows that the material removal rate increases with the increase of grinding depth,while the material removal rate under ultrasonic vibration is higher than that of common grinding with the increase of grinding depth.The study also found that as the speed of work piece increases,the material removal rate increases slightly.Lastly,based on support vector machine learning machine theory,the support vector machine simulation program is written.Considering the grinding depth,wheel speed,workpiece rotation speed and ultrasonic vibration,the internal grinding edge damage depth and material removal rate were studied.The SVM parameters are trained based on experimental data to determine the optimal parameters.Prediction model of ceramic internal edge damage based on support vector machine?SVM?was established,and the prediction value of internal grinding edge damage depth and material removal rate was obtained.The results of SVM simulation are compared with the experimental data.It is found that the error rate of edge damage model and removal rate model based on SVM is less than 5.79%,and the support vector machine has reliable performance in data regression.