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A new modelling approach for predicting process evolution of cork-rubber composites slabs vulcanization.
Lopes, Helena; Silva, Susana P; Carvalho, João Paulo; Machado, José.
Afiliação
  • Lopes H; MEtRICs Research Center, University of Minho, Campus of Azurém, 4800-058, Guimarães, Portugal. id7466@alunos.uminho.pt.
  • Silva SP; Amorim Cork Composites, Rua Comendador Américo Ferreira Amorim, 260, 4535-186, Mozelos VFR, Portugal. susana.silva@amorim.com.
  • Carvalho JP; Amorim Cork Composites, Rua Comendador Américo Ferreira Amorim, 260, 4535-186, Mozelos VFR, Portugal. joao.carvalho@amorim.com.
  • Machado J; MEtRICs Research Center, University of Minho, Campus of Azurém, 4800-058, Guimarães, Portugal. jmachado@dem.uminho.pt.
Sci Rep ; 12(1): 8002, 2022 May 14.
Article em En | MEDLINE | ID: mdl-35568717
ABSTRACT
In order to predict the evolution of the vulcanization process of cork-rubber slabs, a numerical approach was developed combining heat transfer by conduction and kinetics models. A one-dimensional model was applied to predict the evolution of temperature and degree of cure at different stages of the vulcanization of a cork-rubber composite. Also, due to the degradation verified by the compound, an existent reversion model was added to the problem. Based on rheometer data, cure and reversion parameters were determined. Experimental data were used to determine the thermal properties of the compound, assuming a constant value or according to its degree of cure and temperature. The results obtained by simulation showed a good correspondence with experimental results, even when assuming constant thermal properties. The application of the proposed methodology provides information about the optimum process parameters for each thickness slab, without compromising the homogeneity and characteristics of the final product, which can be a valuable tool during the development and product stages of cork-rubber composites.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Portugal

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Portugal
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