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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2010-06-01
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Online Access: | https://doi.org/10.3933/applrheol-20-33283 |
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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 |
work_keys_str_mv |
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