Show simple item record

dc.contributor.supervisor Scanlon, Martin (Food Science) en
dc.contributor.author Gonzalez-Gutierrez, Joamin
dc.date.accessioned 2009-01-21T14:37:11Z
dc.date.available 2009-01-21T14:37:11Z
dc.date.issued 2009-01-21T14:37:11Z
dc.identifier.uri http://hdl.handle.net/1993/3120
dc.description.abstract Many soft food materials, including vegetable shortening, exhibit complex rheological behaviour with properties that resemble those of a solid and a liquid simultaneously. The fundamental parameters used to describe the rheological response of vegetable shortening were obtained from uniaxial compression tests, including monotonic and cyclic compression, as well as creep and stress relaxation tests. The fundamental parameters obtained from the various compression tests were then used in two mechanical models (viscoelastic and elasto-visco-plastic) to predict the compression and conical indentation response of vegetable shortening. The accuracy of the two models was studied with the help of the commercially available finite element analysis software package Abaqus. It was determined that the viscoelastic model was not suitable for the prediction of the rheological response of shortening. On the other hand, the proposed elasto-visco-plastic model predicted with reasonable accuracy the uniaxial compression and indentation experimental response of vegetable shortening. en
dc.format.extent 1816598 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject Vegetable Shortening en
dc.subject Finite Element Analysis en
dc.subject Rheology en
dc.subject Indentation en
dc.title An investigation of the rheology and indentation response of vegetable shortening using finite element analysis en
dc.degree.discipline Food Science en
dc.contributor.examiningcommittee Cenkowski, Stephan (Biosystems Engineering) Fulcher, Gary (Food Science) en
dc.degree.level Master of Science (M.Sc.) en
dc.description.note February 2009 en


Files in this item

This item appears in the following Collection(s)

Show simple item record

View Statistics