An expert system for setting parameters in machining processes

Authors:
Luis M. Torres-Treviño;Indira G. Escamilla-Salazar;Bernardo González-Ortíz;Rolando Praga-Alejo
Affiliations:
-;-;-;-
Venue:
Expert Systems with Applications: An International Journal
Year:
2013

Citing 2
Cited 1

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Abstract

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 @a-@b 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.