Modeling and estimation of rheological properties of food products for manufacturing simulations

Wang, Zhongkui; Hirai, Shinichi

doi:10.1016/j.jfoodeng.2010.08.011

Cited by 25 publications

(23 citation statements)

References 11 publications

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“…By performing a series of replacements as done in [Wang & Hirai (2011a)], Eq. 3 can be transformed to 2D/3D force-displacement relationship as …”

Section: Fe Dynamic Modelmentioning

confidence: 99%

Finite Element Modeling and Physical Property Estimation of Rheological Food Objects

Wang¹,

Hirai²

2012

JFR

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The purpose of this study is to accurately simulate the rheological behaviors of food objects undergoing a loading-unloading operation using finite element (FE) model. Due to the presence of residual deformation, it is difficult to model rheological behaviors. Especially, it is hard to accurately reproduce both rheological force and residual deformation simultaneously. In this study, objects made of food materials were tested. Force and deformation measurements were recorded for parameter estimation. Constitutive models were investigated for describing rheological behaviors. A parallel five-element model including two dual-moduli viscous elements was proposed to accurately predict both rheological force and residual deformation simultaneously. 2D/3D FE model was formulated for simulating rheological behaviors. To estimate the parameters, an effective four-step method was established based on nonlinear optimization which aimed at minimizing the differences of forces and deformation between simulation and experiments. The proposed FE model and parameter estimation method were validated in both 2D and 3D cases and good agreements were achieved in both rheological forces and deformation between numerically simulated and experimentally measured data.

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“…By performing a series of replacements as done in [Wang & Hirai (2011a)], Eq. 3 can be transformed to 2D/3D force-displacement relationship as …”

Section: Fe Dynamic Modelmentioning

confidence: 99%

Finite Element Modeling and Physical Property Estimation of Rheological Food Objects

Wang¹,

Hirai²

2012

JFR

Self Cite

View full text Add to dashboard Cite

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“…After knowing the calculation of viscoelastic forces, we can formulate the FE dynamic model of the fingertip following the idea of non-homogeneous FE modeling presented in [18]. A set of differential equations for simulating the dynamic behaviors of the fingertip are given as followṡ…”

Section: Fe Formulationmentioning

confidence: 99%

A 3D FE dynamic model of human fingertip based on MRI data

Wang

Abe

Hirai

et al. 2011

2011 IEEE International Workshop on Haptic Audio Visual Environments and Games

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Humans mainly use their fingertips to explore and manipulate objects in daily life. When the fingertip comes in contact with an object, the mechanoreceptors beneath the skin respond to the deformation of skin and generate electrical impulses sent to the brain. However, the mechanical state at receptor locations is not empirically observable with the current technology. It is necessary to develop reliable models of fingertips to investigate the mechanistic bases of finger sensation. In this study, therefore, a 3D Finite Element (FE) dynamic model of primate fingertip is developed based on Magnetic Resonance Imaging (MRI) data. A human fingertip was measured using a MR machine and a series of 2D image slices were obtained. Using boundary tracking algorithm, 2D boundaries of individual tissue layers were traced for each slice and a certain number of boundary nodes were generated. These boundary nodes were then used to construct a 3D geometry with tetrahedron mesh for each tissue layer of the fingertip. The 3D meshes of individual tissue layers were then combined to formulate a non-homogeneous FE dynamic model for simulating the fingertip behaviors. Simulation results with pushing and sliding operations were given to validate the proposed FE model.

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“…Many physically based models have been proposed to describe the dynamic properties of rheological materials, including the Maxwell, Kelvin-Voigt, three-element, and Burger models [8], and the fourelement [9] and five-element [10] models.…”

Section: Introductionmentioning

confidence: 99%

First engineering framework for the out-of-plane robotic shaping of thin rheological objects

Cocuzza

Yan

2018

Robotics and Computer-Integrated Manufacturing

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In view of the automatic manipulation and shaping of rheological objects, e.g. food material or biological tissues, the need of modeling and characterizing the material from an engineering point of view and of constructing a dynamic model of the whole rheological object arise. In this paper, a catenary-like Mass-Spring-Damper (MSD) model formed of lumped masses interconnected with three-element units is proposed to study and simulate the 2-D shaping of a thin rheological material over a moulding object. First, a three-step method for identifying the material properties from experimental tensile tests is proposed and validated. The method has allowed both to identify the material properties and to validate the three-element material model used, thanks to the close agreement between the material mathematical model and the experimental data. Then, a multibody model of the rheological object is proposed, which has been validated thanks to the close agreement between the simulated deformation profile and the experimental one in two test cases: in the first test case the rheological object deforms under the load of the gravity force only, and in the second one it is forced to deform by a shaping tool. Finally, the validated model is used in order to compare different shaping movements and velocities of the tool by dynamic simulations, with particular attention to the internal tensile force generated in the material -which has to be sufficiently far from the break -and the quality of the shaping operation which is directly related to the total non-recoverable deformation generated. A two-step shaping movement results more advantageous with respect to simpler motions since significantly reduced internal forces are generated in the material while the quality of the shaping operation is still guaranteed.

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Modeling and estimation of rheological properties of food products for manufacturing simulations

Cited by 25 publications

References 11 publications

Finite Element Modeling and Physical Property Estimation of Rheological Food Objects

Finite Element Modeling and Physical Property Estimation of Rheological Food Objects

A 3D FE dynamic model of human fingertip based on MRI data

First engineering framework for the out-of-plane robotic shaping of thin rheological objects

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