Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/79307
Title: Chaos analysis of viscoelastic chaotic flows of polymeric fluids in a micro-channel
Authors: Han, J.
Lim, Chun Ping
Lam, Yee Cheong
Issue Date: 2015
Source: Lim, C. P., Han, J., & Lam, Y. C. (2015). Chaos analysis of viscoelastic chaotic flows of polymeric fluids in a micro-channel. AIP Advances, 5, 077150-.
Series/Report no.: AIP Advances
Abstract: Many fluids, including biological fluids such as mucus and blood, are viscoelastic. Through the introduction of chaotic flows in a micro-channel and the construction of maps of characteristic chaos parameters, differences in viscoelastic properties of these fluids can be measured. This is demonstrated by creating viscoelastic chaotic flows induced in an H-shaped micro-channel through the steady infusion of a polymeric fluid of polyethylene oxide (PEO) and another immiscible fluid (silicone oil). A protocol for chaos analysis was established and demonstrated for the analysis of the chaotic flows generated by two polymeric fluids of different molecular weight but with similar relaxation times. The flows were shown to be chaotic through the computation of their correlation dimension (D2) and the largest Lyapunov exponent (λ1), with D2 being fractional and λ1 being positive. Contour maps of D2 and λ1 of the respective fluids in the operating space, which is defined by the combination of polymeric fluids and silicone oil flow rates, were constructed to represent the characteristic of the chaotic flows generated. It was observed that, albeit being similar, the fluids have generally distinct characteristic maps with some similar trends. The differences in the D2 and λ1 maps are indicative of the difference in the molecular weight of the polymers in the fluids because the driving force of the viscoelastic chaotic flows is of molecular origin. This approach in constructing the characteristic maps of chaos parameters can be employed as a diagnostic tool for biological fluids and, more generally, chaotic signals.
URI: https://hdl.handle.net/10356/79307
http://hdl.handle.net/10220/38682
ISSN: 2158-3226
DOI: 10.1063/1.4927474
Rights: © 2015 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution 3.0 Unported License.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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