Predicting the Mechanical Behaviour of Starch Gels through Inverse Analysis of Indentation Data

Two types of starch gels made with various starch/water concentrations were studied in terms of their mechanical behaviour. Indentation tests were performed which revealed a rate independent load-deflection response. An inverse analysis based on the Marquardt-Levenberg optimisation algorithm and Fin...

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Main Authors: Gamonpilas C., Charalambides M.N., Williams J.G., Dooling P.J., Gibbon S.R.
Format: Article
Language:English
Published: De Gruyter 2010-06-01
Series:Applied Rheology
Subjects:
Online Access:https://doi.org/10.3933/applrheol-20-33283
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spelling doaj-0e083d90027146428040ab3d8b3175cf2021-09-06T19:41:54ZengDe GruyterApplied Rheology1617-81062010-06-0120310.3933/applrheol-20-33283Predicting the Mechanical Behaviour of Starch Gels through Inverse Analysis of Indentation DataGamonpilas C.0Charalambides M.N.1Williams J.G.2Dooling P.J.3Gibbon S.R.4Imperial College London, Mechanical Engineering Department,LondonSW7 2AZ, U.K.Imperial College London, Mechanical Engineering Department,London SW7 2AZ, U.K.Imperial College London, Mechanical Engineering Department,LondonSW7 2AZ, U.K.Akzo Nobel Research Development and Innovation, Wilton Applied Research Group, Wilton,Redcar, TS10 4RF, U.K.Akzo Nobel Research Development and Innovation, Wilton Applied Research Group, Wilton,Redcar, TS10 4RF, U.K.Two types of starch gels made with various starch/water concentrations were studied in terms of their mechanical behaviour. Indentation tests were performed which revealed a rate independent load-deflection response. An inverse analysis based on the Marquardt-Levenberg optimisation algorithm and Finite Element Analysis was used to derive the stress-strain behaviour from the indentation data. The inverse predictions for the stress-strain curves are in good agreement with the direct measurements from uniaxial compression and shear tests up to high values of strain. The validity of the method was proven for both self-supporting and non self-supporting gels, with initial moduli ranging from a very small 60 Pa to 55 kPa. Thus the indentation characterisation method is proven as a powerful, fast and efficient way of evaluating and/or monitoring the behaviour of gels.https://doi.org/10.3933/applrheol-20-33283starch gelsconstitutive behaviourindentationinverse analysisfinite element analysisfood rheology
collection DOAJ
language English
format Article
sources DOAJ
author Gamonpilas C.
Charalambides M.N.
Williams J.G.
Dooling P.J.
Gibbon S.R.
spellingShingle Gamonpilas C.
Charalambides M.N.
Williams J.G.
Dooling P.J.
Gibbon S.R.
Predicting the Mechanical Behaviour of Starch Gels through Inverse Analysis of Indentation Data
Applied Rheology
starch gels
constitutive behaviour
indentation
inverse analysis
finite element analysis
food rheology
author_facet Gamonpilas C.
Charalambides M.N.
Williams J.G.
Dooling P.J.
Gibbon S.R.
author_sort Gamonpilas C.
title Predicting the Mechanical Behaviour of Starch Gels through Inverse Analysis of Indentation Data
title_short Predicting the Mechanical Behaviour of Starch Gels through Inverse Analysis of Indentation Data
title_full Predicting the Mechanical Behaviour of Starch Gels through Inverse Analysis of Indentation Data
title_fullStr Predicting the Mechanical Behaviour of Starch Gels through Inverse Analysis of Indentation Data
title_full_unstemmed Predicting the Mechanical Behaviour of Starch Gels through Inverse Analysis of Indentation Data
title_sort predicting the mechanical behaviour of starch gels through inverse analysis of indentation data
publisher De Gruyter
series Applied Rheology
issn 1617-8106
publishDate 2010-06-01
description Two types of starch gels made with various starch/water concentrations were studied in terms of their mechanical behaviour. Indentation tests were performed which revealed a rate independent load-deflection response. An inverse analysis based on the Marquardt-Levenberg optimisation algorithm and Finite Element Analysis was used to derive the stress-strain behaviour from the indentation data. The inverse predictions for the stress-strain curves are in good agreement with the direct measurements from uniaxial compression and shear tests up to high values of strain. The validity of the method was proven for both self-supporting and non self-supporting gels, with initial moduli ranging from a very small 60 Pa to 55 kPa. Thus the indentation characterisation method is proven as a powerful, fast and efficient way of evaluating and/or monitoring the behaviour of gels.
topic starch gels
constitutive behaviour
indentation
inverse analysis
finite element analysis
food rheology
url https://doi.org/10.3933/applrheol-20-33283
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