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Abstract:

The ability of an Artificial Neural Network (ANN) to evaluate the variability of rheometric properties of rubber compounds from their formulation is presented. Because of the complexity and non-linearity of mixing processes, an exact mathematical treatment of the problem is extremely difficult, or even impossible. The use of artificial neural networks (ANNs) might be very useful to analyze these processes, since they have the ability to map nonlinear relationships without prior information about process or system models. In this work a three-layer ANN is used and the optimum parameters are determined. The results are compared with theoretical and experimental published data. The dependence of the rheometric properties as a function of compound components is also analyzed. Finally, the sensibility matrix concept is introduced. The sensibility matrix allows us to calculate the minimum expected variability, for a given compound, due to the weight tolerances of its components.

Registro:

Documento: Artículo
Título:Prediction of rheometric properties of compounds by using artificial neural networks
Autor:Schwartz, G.A.
Filiación:Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Ciudad Universitaria, Buenos Aires (1428), Argentina
Año:2001
Volumen:74
Número:1
Página de inicio:116
Página de fin:123
DOI: http://dx.doi.org/10.5254/1.3547632
Título revista:Rubber Chemistry and Technology
Título revista abreviado:Rubber Chem Technol
ISSN:00359475
CODEN:RCTEA
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00359475_v74_n1_p116_Schwartz

Referencias:

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Citas:

---------- APA ----------
(2001) . Prediction of rheometric properties of compounds by using artificial neural networks. Rubber Chemistry and Technology, 74(1), 116-123.
http://dx.doi.org/10.5254/1.3547632
---------- CHICAGO ----------
Schwartz, G.A. "Prediction of rheometric properties of compounds by using artificial neural networks" . Rubber Chemistry and Technology 74, no. 1 (2001) : 116-123.
http://dx.doi.org/10.5254/1.3547632
---------- MLA ----------
Schwartz, G.A. "Prediction of rheometric properties of compounds by using artificial neural networks" . Rubber Chemistry and Technology, vol. 74, no. 1, 2001, pp. 116-123.
http://dx.doi.org/10.5254/1.3547632
---------- VANCOUVER ----------
Schwartz, G.A. Prediction of rheometric properties of compounds by using artificial neural networks. Rubber Chem Technol. 2001;74(1):116-123.
http://dx.doi.org/10.5254/1.3547632