Numerical modeling of motion and deformation of cells in microscale hydrodynamic and electric fields

Cell performance is of great interest in a variety of biological processes and bioengineering applications, such as the cell motion in a manipulating biochip, and the cell deformation in a capillary. The present research work focuses on the numerical investigation of the motion and deformation of a...

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Main Author: Ye, Ting
Other Authors: Lam Khin Yong
Format: Theses and Dissertations
Language:English
Published: 2012
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Online Access:https://hdl.handle.net/10356/50707
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-507072023-03-11T17:30:14Z Numerical modeling of motion and deformation of cells in microscale hydrodynamic and electric fields Ye, Ting Lam Khin Yong Li Hua School of Mechanical and Aerospace Engineering DRNTU::Engineering::Bioengineering Cell performance is of great interest in a variety of biological processes and bioengineering applications, such as the cell motion in a manipulating biochip, and the cell deformation in a capillary. The present research work focuses on the numerical investigation of the motion and deformation of a single cell or two cells in the parabolic hydrodynamic field, nonuniform electric field, and parabolic hydrodynamic and nonuniform electric coupled field, respectively. A two-fluid model is presented to describe the flow characteristics of cell suspending in a fluid, considering the interactions between the cell and hydrodynamic field, between the cell and electric field, and between the two cells. The shell model is adopted to describe the interaction between the cell and hydrodynamic field, identified by the membrane mechanical force, where the cell membrane is treated as an incompressible and elastic shell with a uniform thickness and allowed to undergo the stretching and bending deformation. The Maxwell stress tensor (MST) approach is used to describe the interaction between the cell and electric field, identified by the dielectrophoresis (DEP) force due to the cell polarization. The Morse potential model is employed to describe the interaction between the two cells, identified by the intercellular interaction force behaving as a weak attractive force at far distance but a strong repulsive force at near distance. As the first academic achievement made in this thesis, the two novel numerical methods are developed to efficiently treat the two-fluid model, namely the modified particle binary level set (MPBLS) method for tracking the cell membrane, and the modified semi-implicit method for pressure linked equations-revised (modified SIMPLER). • The MPBLS method employs the binary level set function to distinguish different materials, and further scatters a number of Lagrangian particles on the interface to correct the interface and provide the interface information. Compared with the previous particle level set (PLS) approach, the MPBLS method is more accurate and less time-consuming, and more suitable to multiphase and interfacial flow applications with Lagrangian particles. For 3D problems however, the MPBLS method becomes tedious as usual, since the Lagrangian particles in 3D domain are not easily used to describe the information of surface-like interface. • The modified SIMPLER algorithm introduces an improved velocity correction to speed up the convergence of momentum equations, and further integrates a fine adjustment to satisfy the continuity equation with higher accuracy. Compared with the previous SIMPLER algorithm, the modified SIMPLER algorithm can achieve higher accuracy and convergence, and be more applicable to solve the incompressible Navier-Stokes equations with the low Reynolds number. DOCTOR OF PHILOSOPHY (MAE) 2012-09-11T04:35:43Z 2012-09-11T04:35:43Z 2012 2012 Thesis Ye, T. (2012). Numerical modeling of motion and deformation of cells in microscale hydrodynamic and electric fields. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/50707 10.32657/10356/50707 en 249 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Bioengineering
spellingShingle DRNTU::Engineering::Bioengineering
Ye, Ting
Numerical modeling of motion and deformation of cells in microscale hydrodynamic and electric fields
description Cell performance is of great interest in a variety of biological processes and bioengineering applications, such as the cell motion in a manipulating biochip, and the cell deformation in a capillary. The present research work focuses on the numerical investigation of the motion and deformation of a single cell or two cells in the parabolic hydrodynamic field, nonuniform electric field, and parabolic hydrodynamic and nonuniform electric coupled field, respectively. A two-fluid model is presented to describe the flow characteristics of cell suspending in a fluid, considering the interactions between the cell and hydrodynamic field, between the cell and electric field, and between the two cells. The shell model is adopted to describe the interaction between the cell and hydrodynamic field, identified by the membrane mechanical force, where the cell membrane is treated as an incompressible and elastic shell with a uniform thickness and allowed to undergo the stretching and bending deformation. The Maxwell stress tensor (MST) approach is used to describe the interaction between the cell and electric field, identified by the dielectrophoresis (DEP) force due to the cell polarization. The Morse potential model is employed to describe the interaction between the two cells, identified by the intercellular interaction force behaving as a weak attractive force at far distance but a strong repulsive force at near distance. As the first academic achievement made in this thesis, the two novel numerical methods are developed to efficiently treat the two-fluid model, namely the modified particle binary level set (MPBLS) method for tracking the cell membrane, and the modified semi-implicit method for pressure linked equations-revised (modified SIMPLER). • The MPBLS method employs the binary level set function to distinguish different materials, and further scatters a number of Lagrangian particles on the interface to correct the interface and provide the interface information. Compared with the previous particle level set (PLS) approach, the MPBLS method is more accurate and less time-consuming, and more suitable to multiphase and interfacial flow applications with Lagrangian particles. For 3D problems however, the MPBLS method becomes tedious as usual, since the Lagrangian particles in 3D domain are not easily used to describe the information of surface-like interface. • The modified SIMPLER algorithm introduces an improved velocity correction to speed up the convergence of momentum equations, and further integrates a fine adjustment to satisfy the continuity equation with higher accuracy. Compared with the previous SIMPLER algorithm, the modified SIMPLER algorithm can achieve higher accuracy and convergence, and be more applicable to solve the incompressible Navier-Stokes equations with the low Reynolds number.
author2 Lam Khin Yong
author_facet Lam Khin Yong
Ye, Ting
format Theses and Dissertations
author Ye, Ting
author_sort Ye, Ting
title Numerical modeling of motion and deformation of cells in microscale hydrodynamic and electric fields
title_short Numerical modeling of motion and deformation of cells in microscale hydrodynamic and electric fields
title_full Numerical modeling of motion and deformation of cells in microscale hydrodynamic and electric fields
title_fullStr Numerical modeling of motion and deformation of cells in microscale hydrodynamic and electric fields
title_full_unstemmed Numerical modeling of motion and deformation of cells in microscale hydrodynamic and electric fields
title_sort numerical modeling of motion and deformation of cells in microscale hydrodynamic and electric fields
publishDate 2012
url https://hdl.handle.net/10356/50707
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