Research On Controlling Cutting Quality Of Abrasive Water Jet

The research topic on control of cutting quality of abrasive water jet (AWJ) is put forward as the result of development of overview of water jet technology abroad. The principle of water jet technology and mechanism of micro-crack using abrasive water jet was analyzed. Based on the characteristics of abrasive water jet cutting process, an artificial neural network (ANN) model for controlling cutting quality of abrasive water jet is established based on ANN theory. The ANN model of AWJ was then trained based on experimental data using MATIAB Tool Box. The trained ANN model for abrasive water jet cutting is verified experimentally.The purpose of this study is to establish the non-linear relationship among the material to be cut, parameters of abrasive water jet cutting process. Thereafter the fundamental for realization of precise cutting is expected as the result of this study. The followingwork is carried out in this thesis.1. Overview of development of abrasive water jet technologyover abroad and in China.2. Analysis of mechanism of micro-crack materials by abrasive water jet.3. A BP ANN model for the abrasive water jet cutting process is built based on ANN theory. Material thickness, water jet working pressure, abrasive flow rate, standoff as well as cutting quality (surface roughness) are selected to be input parameters. The feed rate of water jet cutting is the output parameters of the ANN model.4. Experimental study on abrasive water jet precise cutting. Experiment is designed. Stainless steel is selected to be cutting materials.5. Computation of ANN model of abrasive water jet cutting. The Levenberg-Marquardt algorithm is programmed using MATLAB Tool Box. The ANN model is then trained based on experimental data. After all, the non-linear relationship among the main parameters of abrasive water jet cutting process is established.6. Verification of ANN model for abrasive water jet cutting. Based on trained ANN model, a feed rate can be predicted. After that, numerical control cutting code is programmed. And cutting surface roughness is tested by TR200 roughness instrumentation. It shows that established ANN model is good with experiment.This study has great meaning in abrasive water jet precise cutting application.