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MULTISCALING ANALYSIS OF FLUIDIC SYSTEMS: MIXING AND MICROSTRUCTURE CHARACTERIZATION

Camesasca, Marco
http://rave.ohiolink.edu/etdc/view?acc_num=case1144350255

Abstract Details

2006, Doctor of Philosophy, Case Western Reserve University, Macromolecular Science.
Fluidic Systems are present in a variety of fields and applications and multiscaling analysis is an important tool both at the macroscopic scale for the optimization of industrial processes, such as mixing colorants in a polymer matrix or mixing of gases in an engine, as well as at the microscopic level when dealing with microfluidics such as micro-reactors and micro-mixers. In this thesis a multiscaling approach to the analysis of the efficiency of mixing of fluidic systems for multi-component flows is developed and a microstructure characterization based on the concept of multi-fractal behavior is introduced. Generically, mixing is a unit operation that involves manipulating a heterogeneous physical system with the intent to make it more homogeneous. The concept of entropy as the measure of the level of homogeneity of a system is applied and various ways to employ the entropy to characterize the state of mixing in a multi-component system at different scale of observations are explored. Computer simulations of fluidic systems are employed to trace the motion of passive tracers used to visualize the behavior of the fluids and to evaluate the overall mixing efficiency. First the quality of such approach on commonly known systems, such as extruder devices and microchannels, is verified then the use of chaotic advection as a tool to increase mixing efficiency is introduced. To create a time dependence of the flow field, necessary to induce chaotic behavior, a non periodic patterning of one of the walls of the systems is proposed, such that the three components of the velocity field are coupled. The behavior of those chaotic systems is shown to generate interfaces with fractal structures. Since fractal and multi-fractal characteristics can be of great interest in relation with the material properties of the final compound a quantification of this multiscale property is done by calculating the generalized fractal dimensions. There is a certain correspondence between mixing systems and fractal behavior and it is shown that in the case of mixing fluids distinguished only by color, better mixers generate structures with higher fractal dimensions.
Ica Manas-Zloczower (Advisor)
167 p.
Mixing; Polymer Processing Operations; Microchannels and Micromixers; Chaotic Advection; Chaos and Fluid Dynamics; R&233; nyi and Shannon Entropy; Information and Statistical Entropy; Fractal Dimensions; Generalized Dimensions

Recommended Citations

Citations

  • Camesasca, M. (2006). MULTISCALING ANALYSIS OF FLUIDIC SYSTEMS: MIXING AND MICROSTRUCTURE CHARACTERIZATION [Doctoral dissertation, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1144350255

    APA Style (7th edition)

  • Camesasca, Marco. MULTISCALING ANALYSIS OF FLUIDIC SYSTEMS: MIXING AND MICROSTRUCTURE CHARACTERIZATION. 2006. Case Western Reserve University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1144350255.

    MLA Style (8th edition)

  • Camesasca, Marco. "MULTISCALING ANALYSIS OF FLUIDIC SYSTEMS: MIXING AND MICROSTRUCTURE CHARACTERIZATION." Doctoral dissertation, Case Western Reserve University, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=case1144350255

    Chicago Manual of Style (17th edition)

case1144350255
1,127
© 2006, all rights reserved.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.
Release 3.2.12