Revealing elastic turbulence shows more similarities to classical Newtonian turbulence than previously expected.
Blood, lymph fluid, and other biological fluids often exhibit unexpected and sometimes perplexing characteristics. Many of these biological substances are non-Newtonian fluids, defined by their nonlinear response to stress and strain. This means that non-Newtonian fluids do not always act in ways typical of liquids. For instance, these unique fluids might change shape under gentle pressure yet behave almost like solids under more intense force.
And biological solutions are no exception when it comes to unique properties — one of them being elastic turbulence. A term that describes the chaotic fluid motion that results from adding polymers in small concentrations to watery liquids. This type of turbulence exists only in non-Newtonian fluids.
Its counterpart is classical turbulence, occurring in Newtonian fluids, for example in a river when the water at high speed flows past a bridge’s pillar. While mathematical theories exist to describe and predict classical turbulence, elastic turbulence yet awaits such tools despite their importance for biological samples and industrial applications. “This phenomenon is important in microfluidics, for example when mixing small volumes of polymeric solutions which can be difficult. “They don’t mix well because of the very smooth flow,” explains Prof. Marco Edoardo Rosti, head of the Complex Fluids and Flows Unit.
New Insights Into Elastic Turbulence
So far scientists have thought of elastic turbulence as completely different from classical turbulence, but the Lab’s most recent publication in the scientific journal Nature Communications might change this view. Researchers from OIST worked collaboratively with scientists from TIFR in India and NORDITA in Sweden to reveal that elastic turbulence has more in common with classical Newtonian turbulence than expected.
“Our results show that elastic turbulence has a universal power-law decay of energy and a so far unknown intermittent behavior. These findings allow us to look at the problem of elastic turbulence from a new angle,” explains Prof. Rosti. When describing a flow, scientists often use a velocity field, “we can look at the distribution of velocity fluctuations to make statistical predictions about flow,” says Dr. Rahul K. Singh, the publication’s first author.
When studying classical Newtonian turbulence, researchers measure velocity over the entire flow and use the difference between two points to create a velocity difference field. “Here we measure velocity at three points and compute the second differences. First, a difference is computed by subtracting fluid velocities measured at two different points. We then subtract two such first differences yet again, which gives us the second difference,” explains Dr. Singh.
This type of research came with an additional challenge – running these complex simulations requires the power of advanced supercomputers, “our simulations sometimes run for four months and output a huge amount of data,” says Prof. Rosti. This added level of detail led to a surprising finding – that the velocity field in elastic turbulence is intermittent. To illustrate what intermittency in flow looks like, Dr. Singh uses the electrocardiogram (ECG) as an example.
“In an ECG measurement, the signal has small fluctuations interrupted by very sharp peaks. This sudden large burst is called intermittency,” says Dr. Singh. In classical fluids, such fluctuations between small and very large values had already been described but only for turbulence that occurs at high flow speeds. The researchers were surprised to now find the same pattern in elastic turbulence occurring at very small flow speeds, “at these low speeds we did not expect to find such strong fluctuations in the velocity signal,” emphasizes Dr. Singh.
Their findings are not only a big step towards a better understanding of the physics behind low-velocity turbulence but also lay the foundations for developing a complete mathematical theory describing elastic turbulence. “With a perfect theory, we could make predictions about the flow and design devices that can alter the mixing of liquids. This might be useful when working with biological solutions,” says Prof. Rosti.
Reference: “Intermittency in the not-so-smooth elastic turbulence” by Rahul K. Singh, Prasad Perlekar, Dhrubaditya Mitra and Marco E. Rosti, 27 May 2024, Nature Communications.
DOI: 10.1038/s41467-024-48460-5
Never miss a breakthrough: Join the SciTechDaily newsletter.
Follow us on Google and Google News.