Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.566380
Title: Mechanical characterisation, processing and microstructure of wheat flour dough
Author: P. Mohammed, Mohd Afandi
Awarding Body: Imperial College London
Current Institution: Imperial College London
Date of Award: 2012
Availability of Full Text:
Access from EThOS:
Full text unavailable from EThOS. Please try the link below.
Access from Institution:
Abstract:
The mechanical behaviour of dough, gluten and starch was studied in an effort to investigate whether bread dough can be treated as a two phase (starch and gluten) composite material. Mechanical loading tests revealed rate dependent behaviour for both the starch and gluten constituents of dough. There is evidence from Cryogenic Scanning Electron Microscopy (Cryo-SEM) that damage in the form of debonding between starch and gluten occurs when the sample is stretched. In addition, the Lodge material model was found to deviate from the tension and shear stress-strain test data by a considerably larger amount than from the compression test data. This could indicate that ‘damage’ is dominant along the gluten-starch interface, causing debonding; the latter occurs less under compression loading, but is more prevalent in tension and shear loading. A single-particle finite element model was developed using starch as a filler contained in a gluten matrix. The interface between starch and gluten was modelled using cohesive zone elements with damage/debonding occurring under opening/tension and sliding/shear modes. The numerical results are compared to experimental stress-strain data obtained at various loading conditions. A comparison of stress-strain curves obtained from 2D and 3D single-particle models and a multi-particle model led to good agreement, indicating that the single-particle model can be used to adequately represent the microstructure of the dough studied here. Finally, the simulation of extrusion was performed using the finite element method, where demonstration of the predictive capability of a continuum numerical model with small scale experimental results was performed.
Supervisor: Charalambides, Maria ; Williams, Gordon Sponsor: Kementerian Pengajian Tinggi, Malaysia ; Universiti Putra Malaysia
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.566380  DOI: Not available
Share: