Researches to obtain the Optimum Process Parameters by Machining through Superfinishing Process

摘要

The work reported describes application of artificial neural networks (ANN) for the purpose of deriving a complex nonlinear relationship among several factors that influence the roughness of part surfaces obtained through superfinishing process according with different process parameters. The relationship is necessary to optimize the process parameters and predict the optimum values to obtain the roughness surfaces that are needed for the part manufactured. A feed forward two-layers ANN is designed and trained using experimental data. The model is tested for generalization and simulated in MATLABTM environment. The results are used to determine the best process parameters that must be used to have a high surface finish according with the technical requirements.