Modelling of electro chemical machining parameters by dimensional analysis and artificial neural network Online publication date: Fri, 01-Sep-2023
by C. Senthilkumar
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 23, No. 3, 2023
Abstract: Metal matrix composites (MMCs) are gaining increasing attention for applications in various industries due to their light weight and greater wear resistance than those of conventional materials. Manufacturers embracing that difficulty in machining of MMC due to the abrasive nature of reinforcing particles, shorten the tool life. Electro chemical machining (ECM) is an enormously used non-conventional process for removing material in die making, aerospace, and automobile industries and to machine any material with highest hardness. Hence in the present study ECM was used to machine metal matrix composite (MMC) made by stir casting process. A model was developed by using Buckingham's π theorem and ANN to establish a correlation between the independent parameters and the dependent responses of the ECM process, which is pretty difficult. Finally experimental values are compared with the predicted values of both models and we found high prediction accuracy.
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