Performance Evaluation and Optimization Algorithm for Electrical Discharge Machining Process using a Noble Non-Dimensional Mathematical Model

摘要

In this paper, an innovative method is introduced to evaluate and optimize the performance of the Electrical Discharge Machining, Drilling, and the new mathematical model is defined and tested toward the goal of optimization algorithm for the machining process. The model utilizes "Non-Dimensional Process Evaluating Function", NPEF, and predicts the optimum parameters concerning the desired machining situation, that finally identifies a set of mathematical equations for calculation of optimum values for machining. Particularly, NPEF is applied to the experimental database to provide dimensionless quantities for process evaluation, subsequently, it is implemented in the statistical model to obtain the optimum status. Thus, the measured parameters of the optimum tests; machining configuration and resulted parameters, are analyzed together, to provide the optimized configurations mathematically. Eventually, the model is developed to obtain the mathematical equations, and those are programmed on an electronic controller that is installed on the experimental machine. Respectively, the model is tested and validated, in cooperation with the industrial project partner, within the practical machining situation in a wide range of machining settings that is applied for machining hard-alloy steel "X 155 CrVMo 121". The research is done as a part of a cooperative project, with financial funding and leadership of AiF Projekt GmbH.