Please use this identifier to cite or link to this item: http://comimsa.repositorioinstitucional.mx/jspui/handle/1022/389
Development and Application of an Intelligent System to Predict and Optimize the Surface Roughness of 1018 and 4140 Steel
Pedro Pérez Villanueva
Acceso Abierto
Atribución-NoComercial-SinDerivadas
NEURAL NETWORK
The aim of this research is to present a new methodology for predicting and optimizing the surface roughness during machining of 1018 and 4140 Steel. There is particular interest in finding the best machining value parameters that should be used to achieve good surface roughness. These parameter values can be found by this neural intelligent approach. This methodology analyzes and identifies the parameters involved in the machining process; with this information the model is able to predict the surface roughness value in different conditions and then optimize the results with different intelligent heuristics. The experimental results show that we may conclude that this intelligent system is a suitable methodology for predicting and optimizing surface roughness during the machining of 1018 and 4140 Steel.
2008
Artículo
Inglés
Estudiantes
Investigadores
Development and Application of an Intelligent System to Predict and Optimize the Surface Roughness of 1018 and 4140 Steel. I. Escamilla-Salazar, Pedro Perez, L. Torres-Treviño , Patricia C. Zambrano Robledo. November 2008 DOI: 10.1109/CERMA.2008.68 SourceIEEE Xplore Conference: Electronics, Robotics and Automotive Mechanics Conference, 2008. CERMA '08
INGENIERÍA Y TECNOLOGÍA
Versión publicada
publishedVersion - Versión publicada
Appears in Collections:ARTÍCULOS/ CAPÍTULOS DE LIBRO / MEMORIAS DE CONGRESO

Upload archives


File Description SizeFormat 
2008-DEVELOPMENT AND.pdfI. Escamilla-Salazar, Pedro Perez, L. Torres-Treviño , Patricia C. Zambrano Robledo3.01 MBAdobe PDFView/Open