Examinando por Materia "PRODUCTIVIDAD EN CERÁMICOS"

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    PublicaciónAcceso abierto
    Aplicación de redes neuronales en la clasificación de arcillas
    (2013-11-13) Gómez, Jairo; Sánchez, Jaime; Ocampo, Aquiles; Restrepo, José William; Aplicação de redes neuronais na classificação de arcillas
    Clays are the main raw material in the manufacture of products for the construction sector, such as tile, veneer, flooring and bricks. Small and medium enterprises generally use brick clays of different mineralogical origin, classified in order to formulate their mixtures according to the production team experience; the uncertainty associated with this method causes that a portion of their manufactured products are rejected, because their properties do not meet the technical specifications. This paper presents a methodology based on neural networks for classification of clays, based on the clay properties to be used to make the pasta, with the aim of reducing the number of rejected products. It used different network topologies for classification, and chose the one which have been found capable to predict the training and testing samples with an accuracy of 97.79 % and 94.12 %, respectively.
  • Miniatura
    PublicaciónAcceso abierto
    Sinterización cerámica por elementos finitos
    (2014-05-06) Arango, N. (Nolasco); Restrepo-Ochoa, J. L. (Jorge Luis); López, N. J. (Nelson de Jesús); Carvajal, L. (Leonardo)
    This paper describes and demonstrates the effectiveness of a finite-element procedure to predict the compactation of a green ceramic isostatics pressed plate during sintering process. The approach is based on the conservation of mass principle and requires for its implementation: i) description of the finite element meshes of the green plate when ejected from the press, and ii) the density of the plate after compactation and sintering process. Numerical compactation predictions have been compared with experimental data. The comparisons reveal that the quantitative predictions regarding diameter and height range correlate closely with the measured values showing a difference of 0.52% in diameter and 0.48% in height and a variation on shrinkage of 3.49%. We consider this to be in good agreement, for most practical purposes.