Prediction of roughness surface in textured by electrical erosion using bayesian networks

  • Maritza Correa Valencia Universidad Autónoma de Occidente, Cali
  • Jorge Pamies-Teixeira Universidad Autónoma de Occidente, Cali
Keywords: A model for prediction of parameters that defined roughness surface [Ra] when this texture is produced by Electro Discharge Texturing [EDT] is presented. The non-linearity, instabilities and expensive experimentation in this process, are main


A model for prediction of parameters that defined roughness surface [Ra] when this texture is produced by Electro Discharge Texturing [EDT] is presented. The non-linearity, instabilities and expensive experimentation in this process, are main causes for use predictive techniques by means of robust and reliable algorithms, for study factors that present characterization hard. Series of experiments were conducted to produce plane surface textures using a modified EDM machine ALIC-1. The data collected in experimental phase were used for trained Bayesian models with Naïve Bayes and Tree Augmented Naïve Bayes [TAN] classifiers. Results show acceptable behavior within the operating range, consistent with the physical phenomena governing EDT process. Find a surface roughness with particular specifications is demonstrated.


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Author Biographies

Maritza Correa Valencia, Universidad Autónoma de Occidente, Cali

Ingeniera Industrial de la Universidad Autónoma de Occidente [UAO], Recibió de la Universidad Politécnica de Madrid sus títulos como Especialista en Robótica Industrial, Magister en Tecnologías de la Información en Fabricación y Doctora en Ciencias de la Computación e Inteligencia Artificial. Es profesora de tiempo completo e investigadora de la UAO. Sus áreas de interés incluyen la aplicación de Inteligencia Artificial, especialmente redes Bayesianas y redes neuronales artificiales, en diferentes campos.,


Jorge Pamies-Teixeira, Universidad Autónoma de Occidente, Cali

Doctor en Ingeniería mecánica (Universidade Nova de Lisboa [Nova]) y Magister en Ingeniería Mecánica (Massachusetts Institute of Technology [MIT]). Es profesor de tiempo completo del Departamento de Ingeniería Mecánica y Electrónica  en Nova y miembro de Unidemi, su unidad de investigación en Ingeniería Mecánica e Industrial.


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