Estamos realizando la búsqueda. Por favor, espere...


Comparative analysis with an artificial neural network based method for the assessment of foundry waste incorporation to ceramic products

Abstract: This work shows a comparative assessment of the effect of foundry waste incorporation in the quality of the ceramic product through the Self-Organizing Maps (SOM) and multivariate statistical approaches. Thirty laboratory pressed clay mixtures, with Waelz slag and foundry sand dust incorporation, obtained at different conditions (input variables) of proportions, clay type, and firing temperature have been studied. Six technological properties and lixiviation of As, Ba, Cd, Cr, Cu, Mo, Ni and Zn have been considered as response variables. SOM analysis allows performing a simultaneous interpretation of results, clustering, correlating and classifying data, serving as a complement or a substitute more visual of the multivariate statistical analyses. The addition of Waelz slag in the mixtures causes a severely increase of Ba, Cr and Mo concentrations in leachate, which also are dependent of the type of firing cycle and the maximum temperature reached.

 Congreso: International Conference: WASTES: Solutions, Treatments and Opportunities ( 5ª : 2019 : Costa da Caparica, Portugal)

Editorial: CVR : Centro para a Valorizaçao de Residuos, Universidade do Minho

 Fecha de publicación: 01/09/2019

Nº de páginas: 3

Tipo de publicación: Comunicación a Congreso

ISSN: 2183-0568