Search

Understanding dust devils with new flow simulations - ASU News Now

thekflow.blogspot.com

ASU researcher Mohamed Houssem Kasbaoui leads the first research to understand semi-dilute dusty flows


October 24, 2022

For most people, dust is an annoyance. For Arizona State University researcher Mohamed Houssem Kasbaoui, however, dust is an opportunity to explore a new area of research.

The assistant professor of mechanical and aerospace engineering in the Ira A. Fulton Schools of Engineering at ASU is building a career as an expert in particle-laden flows. One focus of his research is investigating how tiny particles like dust and volcanic ash interact with swirling air patterns called vortices. Mohamed Houssem Kasbaoui, an assistant professor of mechanical and aerospace engineering in the Ira A. Fulton Schools of Engineering at ASU, poses in his lab with representations of semi-dilute dusty flows simulation research. Mohamed Houssem Kasbaoui, an assistant professor of mechanical and aerospace engineering in the Ira A. Fulton Schools of Engineering at Arizona State University, is the first researcher to explore the dynamics of semi-dilute dusty flows, commonly seen in phenomena like dust devils. This work has many applications on Earth and in exploring other planets. Photo by Monique Clement/ASU Download Full Image

This common phenomenon is called a semi-dilute dusty flow. Even though most people don’t know it by this name, they’ve likely seen it in action as a dust devil.

Despite the fact that semi-dilute dusty flows are a common occurrence, scientists have a very limited understanding of the physics of their behavior. This lack of knowledge can have serious consequences for rotary aircraft such as helicopters when landing in dusty conditions, aircraft exploring dusty planets like Mars, or in other conditions that involve swirling particles.

Supported by a three-year, $200,000 grant from the National Science Foundation, Kasbaoui is applying his expertise in particle-laden flows to lead his research team to be the first to take on the challenge of understanding semi-dilute dusty flows to fill a large gap in scientific knowledge.

“We’re uniquely positioned to do that,” he says. “We’ve developed a lot of expertise in these flows.”

Exploring uncharted territory

Kasbaoui says there are a couple of reasons why semi-dilute flows are poorly understood.

“The simple answer is that it’s hard,” he says.

The physics, equations and theories explaining the behavior of flows that are almost all air (dilute) or all particles (concentrated) are well known.

However, semi-dilute dusty flows — in which the mass of particles and air is roughly equal — are at the intersection of these two extremes. It’s uncharted territory involving entirely different physics; none of the established knowledge applies to understanding how the particles and flow will behave in semi-dilute conditions.

“(Semi-dilute dusty flows) are in the middle where there are not so many particles that their collisions are super important, but there are enough particles that they may change the flow structure,” Kasbaoui says.

The processing power needed to do the calculations to understand semi-dilute dusty flows has also only recently become available through the use of modern supercomputers.

“A lot of the simulations we’re proposing would not have been feasible 10 years ago because we didn’t have the computing power to do it,” Kasbaoui says.

Now that the technology is catching up, he is leading his team to explore this new area of fluid dynamics.

As part of another NSF-funded project in collaboration with Professor Marcus Hermann, Kasbaoui has conducted preliminary research to understand spherical particles and how they interact with each other.

“We’re developing algorithms that will allow us to represent the particles as literal spheres, and then calculate the flow around them as they move and bump into each other,” Kasbaoui says.

These spheres are a good base model to study dust at various scales, from a few thousand particles up to billions of particles. Advances in technology have made these visualizations possible, but the next step of developing computing models that include assorted particles remains a challenge.

ASU aerospace engineering undergraduate student Parin Trivedi holds a tablet with augmented reality images for exploring vortex and flow data.

Parin Trivedi, an aerospace engineering undergraduate student working in Kasbaoui’s lab, is creating an augmented reality tool for immersive visualizations of complex vortex and flow data will help students, researchers and even industry professionals better understand these phenomena. Photo by Monique Clement/ASU

Generating knowledge one step at a time

With a computational foundation in place, in the new NSF project, Kasbaoui’s team is now investigating how particle behavior and swirling columns of air called vortices interact.

“It has been determined for over 100 years now that an isolated vortex tube is very stable. That means if you have a vortex, it wants to stay a vortex no matter how much you’re poking it,” Kasbaoui says.

“But what we’re finding with our preliminary simulation results and published work (outlining research results in vortex decay and instability simulations) is that if you add particles, then that vortex might actually break up on its own,” he says. “So we’re asking, ‘What are the physics involved in the vortex collapsing?’”

Particles come in different sizes and densities, so Kasbaoui’s team is also investigating how those variations affect a vortex’s collapse, particularly when the quantity of particles and air approach equal mass.

“When the two weights are comparable, that’s when we start having a lot of interactions,” Kasbaoui says, noting that because air weighs so little, it often doesn’t take many particles for them to reach equal mass. Quartz, or silica glass — which is what many grains of sand are made of — for example, is approximately 2,600 times denser than air.

The researchers will then apply the conclusions drawn from the equal mass simulations to an example of turbulent flows in which two or more vortices move around in a given space. The expected phenomenon in dilute and concentrated conditions is that two vortices will dance around each other and eventually merge.

“We are finding that the particles (in semi-dilute conditions) tend to actually slow down or inhibit that merger process,” Kasbaoui says.

The right tools in the right hands

When tracking millions of tiny particles, it’s difficult to conduct practical experiments. So much of Kasbaoui’s work is done numerically and with simulations.

“You need to have the right tools to be able to make any sort of progress in this field,” Kasbaoui says. “Numerical work is so hungry for computing power that we need big computers to make it work.”

Fortunately, Kasbaoui has access to ASU’s supercomputing capabilities. With unlimited access to a private part of the Agave supercomputer reserved specifically for their lab, the team can immediately run their own custom-made software and simulations. This prevents the need for the team to wait weeks in line for general use of the supercomputer or submit proposals to use resources at national laboratories.

When even the smallest, simplest 2D particle flow simulations take multiple days to run, this cuts down the time it takes for the team to accomplish their research goals.

ASU mechanical engineering doctoral student Shuai Shuai looks at software code and simulation data on a computer.

Shuai Shuai, a mechanical engineering doctoral student, was the first author on two research papers about how particles affect vortex tubes in a leading research publication, the Journal of Fluid Mechanics. Photo by Monique Clement/ASU

New understanding opens new paths

By understanding how particles break up vortices or prevent them from merging, Kasbaoui says he hopes to model “brownout” conditions that can occur when helicopters and drones land in dusty conditions. One of his goals is to devise safer ways for aircraft to navigate these threatening conditions.

He’s also inspired to contribute to applications beyond Earth. Kasbaoui cites NASA’s Ingenuity helicopter currently operating on Mars as an application for which understanding how dust and vortices interact can help scientists better design and carry out their missions.

Beyond simply modeling and understanding dusty conditions, Kasbaoui is looking into how to use particles to control various flows.

“If we can interrupt or disrupt some flow structures, then it gives us a new tool to do flow control, which is something that people have been trying to do for a very long time,” Kasbaoui says.

He is already applying some of this knowledge to research supported by the American Chemical Society Petroleum Research Fund. The project focuses on vortices that occur in oil and gas pipelines due to seams in the pipes. Vortices slow down the contents of the pipelines, meaning companies must use more energy to counteract the resulting friction to move the oil over vast distances. Adding polymer additives can reduce the friction by as much as 80%, but these additives degrade within a matter of minutes.

Kasbaoui investigated adding spherical particles, because spheres are more resilient than the long chains of polymers. However, he found that the particles don’t work as well in liquids as they do in gases.

So his experiment to find effective particles to use in pipelines is still in progress, and it is only one of many potential applications for which Kasbaoui sees this knowledge being useful. He continues to explore areas of research that could lead to new theories and new scientific capabilities.

“I’m excited about our field and I feel passionate about the work we do,” Kasbaoui says. “I really want it to matter.”

Monique Clement

Lead communications specialist, Ira A. Fulton Schools of Engineering

480-727-1958

ASU President’s Professor Douglas Kenrick recognized for contributions to evolutionary psychology


October 24, 2022

The Human Behavior and Evolution Society recently announced that ASU President’s Professor Douglas Kenrick is the 2022 recipient of the Lifetime Career Award for Distinguished Scientific Contributions.

Kenrick was previously the president of the Human Behavior and Evolution Society in 2018 and is the author of "Solving Modern Problems with a Stone Age Brain." Portrait of ASU President's Professor Douglas Kenrick. ASU President’s Professor Douglas Kenrick is the 2022 recipient of the Lifetime Career Award for Distinguished Scientific Contributions to the field of evolutionary psychology. Download Full Image

The Human Behavior and Evolution Society is an interdisciplinary society of those studying human behavior from an evolutionary perspective and includes scientists from the anthropological, psychological and biological sciences. Previous winners of the Lifetime Career Award include Randy Nesse, professor and founder of the ASU Center for Evolutionary Medicine; Steven Pinker, the Johnstone Family Professor of Psychology at Harvard University; Martin Daly, emeritus professor of psychology at McMaster University; Leda Cosmides, Distinguished Professor at the University of California, Santa Barbara; and David Buss, professor at the University of Texas, Austin. The award is considered one of the highest honors an evolutionary psychologist can receive.

“The HBES Lifetime Career Award for Distinguished Scientific Contribution is awarded to HBES members who have made distinguished theoretical or empirical contributions to basic research in evolution and human behavior,” Kenrick said. “It is an honor to be considered among the greats in our field. To be given this award is about as good as I could do in my life.”

Kenrick, an evolutionary social psychologist, investigates how human social behavior and thought might reflect biological adaptations that influenced our ancestors’ survival and reproductive success.

He is the co-director of the Evolutionary Social Cognition Lab with Foundation Professor Steven Neuberg and D. Vaughn Becker, associate professor in the ASU Human Systems Engineering Program. Over the course of his research career, Kenrick and his team have mentored hundreds of undergraduate and graduate students.

The lab combines theoretical and conceptual frameworks to answer questions about how social goals can influence people’s perceptions, beliefs and decisions. 

RELATED: Modern technology vs. our stone-age brains

In 2010, Kenrick published a new model of human motivation together with Neuberg and two ASU alums, Vladas Griskevicius and Mark Schaller. This model is an adaptation of Maslow’s hierarchy and places kin care at the top of the pyramid of needs. 

“We focus, in particular, on the ways in which self-protection, mating, status-striving, social affiliation, disease avoidance and kin care goals selectively facilitate who we pay attention to, who we remember and how we choose to behave toward other people,” Kenrick said.

Although evolutionary psychology has often been seen as the study of “selfish genes,” and been misconstrued to imply that selfish genes translate into selfish people, Kenrick suggests that the best evidence from psychology, anthropology and human biology suggests that our ancestors, who needed their group members to survive and reproduce, were selected for cooperation rather than individual selfishness.

“We're designed to live in groups. We're designed for our genes to do better when we are nice, not when we're nasty. Your genes might be selfish, but if you're a selfish person, you're going to be socially isolated,” Kenrick said. “People don't want to deal with you if you're nasty, whether you are a group member or a leader. Some people have presumed that if you're a domineering, pushy, nasty person, you can get somewhere in life; but if you slip up when you use that strategy, the other group members are going to want to remove you.

"If you're a nice leader, on the other hand — somebody who cares about the group and who shares information — people will like you and want to keep you on as a leader. And there’s a side benefit: Research demonstrates not only that other people like you more if you are cooperative and supportive, you are also likely to feel better about yourself. We seem to be naturally inclined to feel good when we make others feel good.

“So the bottom line seems to be: The best thing you can do for yourself is to be unselfish."

Robert Ewing

Marketing and Communications Manager, Department of Psychology

480-727-5054

Adblock test (Why?)



"flow" - Google News
October 21, 2022 at 02:00PM
https://ift.tt/2ynLQhf

Understanding dust devils with new flow simulations - ASU News Now
"flow" - Google News
https://ift.tt/UhCL93R
https://ift.tt/zDHr6fu

Bagikan Berita Ini

0 Response to "Understanding dust devils with new flow simulations - ASU News Now"

Post a Comment


Powered by Blogger.