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Fracture investigation in starch-based foods.
Skamniotis, C G; Patel, Y; Charalambides, M N; Elliott, M.
Afiliação
  • Skamniotis CG; Department of Mechanical Engineering , Imperial College London , London SW7 2AZ , UK.
  • Patel Y; Department of Mechanical Engineering , Imperial College London , London SW7 2AZ , UK.
  • Charalambides MN; Department of Mechanical Engineering , Imperial College London , London SW7 2AZ , UK.
  • Elliott M; Mars Petcare UK Ltd , Leicestershire , UK.
Interface Focus ; 6(3): 20160005, 2016 Jun 06.
Article em En | MEDLINE | ID: mdl-27274805
ABSTRACT
The study of oral processing and specifically cutting of the food piece during mastication can lead towards optimization of products for humans or animals. Food materials are complex biocomposites with a highly nonlinear constitutive response. Their fracture properties have not been largely investigated, while the need for models capable of predicting food breakdown increases. In this study, the blade cutting and the essential work of fracture (EWF) methodologies assessed the fracture behaviour of starch-based pet food. Tensile tests revealed rate-dependent stiffness and stress softening effects, attributed to viscoplasticity and micro-cracking, respectively. Cutting data were collected for 5, 10 and 30 mm s(-1) sample feed rates, whereas the EWF tests were conducted at 1.7, 3.3 and 8.3 mm s(-1) crosshead speeds corresponding to average crack speeds of 4, 7 and 15 mm s(-1), respectively. A reasonable agreement was achieved between cutting and EWF, reporting 1.26, 1.78, 1.76 kJ m(-2) and 1.52, 1.37, 1.45 kJ m(-2) values, respectively, for the corresponding crack speeds. These toughness data were used in a novel numerical model simulating the 'first' bite mastication process. A viscoplastic material model is adopted for the food piece, combined with a damage law that enabled predicting fracture patterns in the product.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Interface Focus Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Interface Focus Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Reino Unido