Studies On Grinding Technology Of PCD Cutting Tool And Optimization Of Process Parameters

With the emergence of difficult to machine materials, the tool of traditional materials isincreasingly difficult to meet the processing needs. In recent years, superhard materials,polycrystalline diamond (PCD) good physical and chemical properties, widely used in thetool, cutting speed comparable carbide high an order of magnitude, the tool life is also greatlyimproved. Based on the economic considerations, the popular way of making PCD tool isPCD PCD grinding wheel grind a PCD tool. Their hardness is closed, making the PCD toolsharpening tool is more difficult compared to other materials, difficulties in obtaining a stablegrinding quality. This article will explore the PCD tool sharpening the influence of processparameters on the process objectives and the optimization of multi-process target.Uniform design method in order to facilitate the analysis, the first test, to obtainexperimental data, using regression analysis to analyze the test data to establish the non-linearregression equation between the process parameters associated with each process target,according to the regression analysis to drawgraphs and three-dimensional diagram; Second,the use of MATLAB for the single-objective optimization; Third, the establishment of thePCD tool sharpening process of BP neural network prediction model. Finally, theestablishment of a specific mathematical model, based on BP neural network on test data formulti-objective optimization.The regression equation reveals the process parameters and the mathematicalrelationship of a single process targets revealed through intuitive graphs andthree-dimensional diagram. Using MATLAB for a single process target optimization obtainedthe best combinations of process parameters to obtain the optimal single-process objectives.BP neural network model able to forecast for a given process parameters and process target.The multi-objective optimization of grinding parameters in the goal of considering multipleprocess Based on BP neural network provide programs of optimization. MATLABsingle-objective optimization and BP neural network-based multi-objective optimization canimprove reference on the actual production of PCD the grinding wheel PCD tool sharpeningquality.