An expert system for setting parameters in machining processes

作者:Torres Trevino Luis M*; Escamilla Salazar Indira G; Gonzalez Ortiz Bernardo; Praga Alejo Rolando
来源:Expert Systems with Applications, 2013, 40(17): 6877-6884.
DOI:10.1016/j.eswa.2013.06.051

摘要

In this paper, an hybrid system is proposed for setting machining parameters from experimental data. A symbolic regression alpha-beta is used to build mathematical models. Every model is validated using statistical analysis then evolutionary computation is used to minimize or maximize the generated model. Symbolic regression alpha-beta is used to build mathematical models by estimation of distribution algorithms. A practical case considering measured data of two machining process on three materials are used to illustrate the utility of the expert system because generates a set of parameters that improve the machining process.

  • 出版日期2013-12-1

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