Model fusion using fuzzy aggregation: Special applications to metal properties

Abstract

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Correcting geometric deviations of CNC Machine-Tools: An approach with Artificial Neural Networks

“…Several researchers have proposed the use of machining models as a solution to many problems using Computational Intelligence (CI) techniques [1][2][3][4][5][6][7].…”

“…However, obtaining complex surfaces with tolerance in the micrometric range has become extremely difficult. At the same time, the machining manufacturing process control has been evolving to attend the technical challenges imposed by complex requirements of form, by narrow specification limits and by the frequent introduction of new materials, tools and operational variables that originate new interactions in the processes with non-linear and non-standardized characteristics [1][2][3][4].…”

Multiobjective optimal design of friction stir welding considering quality and cost issues

“…The previous study 20,21 has successfully employed the data driven modelling techniques to construct a number of reliable predictive models for various post-weld properties, relating to microstructure, weld quality and mechanical properties. The modelling method was designed based on fuzzy rule based systems, 22,23 which are very practical to be applied into the nonlinear, data driven leaning context. An improved version of the data driven fuzzy modelling approach, with a representative data selection method, was further implemented to develop dynamic models for predicting internal process attributes, 24 as demonstrated in Fig.…”