is a feasible method to research the EDM process. Deng,.: Grey theoretical basis. Difference between predicted and measured values is smaller and consistent with the actual production of electrical discharge machining process simulation. Abstract, in order to solve the problem of parameter selection in EDM process, EDM process is simulated by using of the grey neural network and the experimental data on the accuracy of the model is verified. Lou,., Li,., Peng,.: ANN Based Modelting for EDM Process. Google Scholar, springer-Verlag Berlin Heidelberg 2012. Yang,., Zhou,.: Artificial Neural Network Model of EDM Process.
Electrical discharge machining (EDM) is one of the most extensively. This paper presents the various research issues in EDM along with the. Electrical discharge machining (EDM) is one of the earliest.
Machinery Design Manufacture (1 128129 (2010). CrossRef, google Scholar. Tarng,.S.: Determination of Optimal Cutting Parameters in Wire Electrical Discharge Machining. The International Journal of Machine Tools Manufacture 35(12 (1995).
Unable to display preview. Journal of Materials Processing Technology (149 8387 (2004). The result shows that the model by using of the grey neural network reflects the process characteristics of the machine itself. Keywords, eDM neural network grey system theory process simulation, this is a preview of subscription content, to check access. China Mechanical Engineering 12(4 408411 (2001).
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