Energeia Home Vol. 7, No. 6, 1996 Understanding the Chaotic Nature of Flames M. Pinar Mengüç and J. McDonough Department of Mechanical Engineering, University of Kentucky INTRODUCTION Harnessing the power of combustion and fire is one of the most important achievements of human kind. Since the dawn of history, humans have tried to develop various tools and techniques to avoid the wrath of fire and to put it to use for their comfort. Yet, they realized many times that even a simple candle flame is as complicated to understand as it is dangerous and beautiful. Probably their double nature is the reason for the mythical symbolism of flames and fires in all cultures. Behind the flame’s intense beauty lies several physical and chemical phenomena occurring simultaneously, which are interwoven. Among them, turbulent fluid flow, radiative and convective heat transfer, chemical kinetics, and phase change leading to soot formation and oxidation, are the most prominent. Understanding the detailed, molecularlevel nature of each of these mechanisms is still beyond our reach, although centurieslong research efforts and trial-and-error have helped us to build today’s combustion systems. Nevertheless, to develop safer, cleaner, efficient, and smarter power production systems, we need a more thorough understanding of the physics and chemistry of flames. Among all phenomena taking place in flames, radiation transfer and turbulence deserve particular attention: almost all flames are turbulent in nature and most of the chemical energy converted to thermal energy is radiated out to the surroundings. There is a strong interaction between radiation and turbulence, as both influence temperature and species concentration profiles within the flame significantly. Yet, the interaction of these two phenomena has been studied by only a relatively small number of researchers. Among these, particularly the works of Faeth and his students should be commended. Recently, we began a research program to study laboratory-scale turbulent flames. Our overall goal has been to introduce a fundamental numerical and experimental approach with which the true time-dependent nature of sooting turbulent flames can be revealed. One of the main outcomes of this effort was the conclusion that these flames can be analyzed with the tools of the “chaos” theory. It is probably natural for most of us (including those who have nothing to do with combustion systems) to call the behavior of most flames chaotic. But, what exactly does “chaotic” mean and how can the chaos theory help us to better understand these combustion systems? In this article, a brief introduction will be given to answer these questions. Radiation-Turbulence Interactions: The main objective in the design of most combustion chambers is to transfer the thermal energy from hot combustion products to the refractories. A significant portion of this energy (up to 90 % in large-scale furnaces) is transferred radiatively. Radiant energy emitted from a sooty flame is significantly larger than, for example, that from a clean-burning natural gas flame. Contribution of soot to overall radiative transfer phenomena in combustion chambers can be predicted if the soot shape, size, size distribution, optical properties, and volume fraction distribution are available. Among these, soot-volume fraction plays a major role in the flame’s radiative emission. In general, soot formation and oxidation processes are controlled by chemical kinetics, which are a strong function of temperature and species concentration distributions. The profiles of these variables are affected by the structure of the turbulent flow field and radiative heating and/or cooling mechanisms. The fluctuations in the species concentration affect the soot formation and oxidation mechanisms, which in turn alter the soot concentration distribution. Change in soot concentration yields a decrease or increase in radiative emission, which translates into variations on temperature (continued, page 2) Flames, (continued) profile everywhere within the flame. As one might expect, with changing (and fluctuating) local temperature, the rate of chemistry and species concentration distribution changes, and the cycle continues. If the fluctuations in species concentration and temperature are monitored, measured, and interpreted correctly, a wealth of information can be obtained about the characteristics of these flames. Such an effort would require carefully conducted experiments and accurate numerical simulations. Numerical modeling of a turbulent diffusion flame requires a thorough simulation of small-scale fluctuations of velocity, temperature, and concentration fields, in addition to the corresponding mean (or, say large-scale) values. Most of the detailed timedependent information is lost if flow field simulations are not carried out rigorously. Even though some modern techniques such as the direct numerical simulation (DNS), or the additive turbulent decomposition (ATD) are mathematically rigorous and yield a high level of accuracy, they are not computationally feasible for application to complex practical systems. Instead, it is preferable to “model” the small-scale fluctuations and solve for the large-scale parameters “rigorously.” This strategy allows us to save significant amounts of CPU time, and brings us to the realm of simulating practical turbulent flames accurately. The trick here is in the choice of “models” to be developed for the representation of small-scale fluctuations. If they are not accurate or do not correspond to the real underlying physics, then they are useless. On the other hand, if these models are based on experiments and a series of universal laws, the recommended strategy can work for a variety of physical systems. Chaotic Map Models: Most flames are turbulent in nature, meaning they are strongly time dependent. Yet, long time exposures of such flames within a combustion chamber clearly show the boundaries of the flame region. Repetitive exposures taken at different times of the day, month, or year reveal almost identical features. Also, if standard techniques are used, time-integrated temperature profiles, as well as, the distribution of radiative emissions along the flame can be measured with confidence. Indeed, these long-time “stable” features of such flames have given scientists and engineers confidence to model and design the combustion chambers with reasonable success. The problem is that these flames are not intrinsically stable. They are dynamic systems, and if there are small perturbations, either internal or external, radically different flame characteristics may be observed. A number of researchers have shown that the turbulence in a flow field is not random, but deterministically chaotic. However, time-integrated measurements and modeling efforts mask almost all of the rich timedependent physical phenomena taking place in turbulent flames. Figure 1 depicts four instantaneous pictures of a laboratory-scale turbulent ethylene diffusion flame over a onesecond time interval. The exposure for each frame is 1/4000 second. It is remarkable to note the significant variations of the flame structure, indicating time-dependent temperature and species concentration gradients. Realize that these gradients are directly related to local velocity fluctuations, which affect the chemical kinetics, and consequently the radiant energy emitted by the flame. It is not possible to study these complex time-dependent phenomena within the framework of classical Newtonian dynamics. Development of the chaos theory has revolutionized our understanding of dynamical systems. The theory has been applied to explain the weather, the fluctuations in population change of a given species, dripping water from a faucet, the swing of a pendulum, as well as turbulent flows. The reader is referred to books such as James Gleick’s Chaos or Nina Hall’s Exploring Chaos, for more detailed, but not necessarily mathematically-involved discussions of the subject. All dynamical systems start functioning at a steady stable level. If one of the critical parameters is altered (e.g., if the flow velocity is increased), eventually Figure 1. The transient nature of ethylene-air diffusion flame, over one-second duration. The exposure for each frame is 1/4000 seconds. 2 Flames, (continued) the system becomes unstable. With a further increase in that parameter, a chaotic behavior is observed. This complex transition from stable to unstable regime can be mimicked by an amazingly simple expression, called a logistic or chaotic map: xn+1 = 4 r xn (1 - |xn|) (1) Here, x is the dependent parameter we are interested in, such as local temperature, soot volume fraction, etc., which is a strong function of time. Superscripts n and n+1 are used to denote the value of the parameter x at times t(n) and t(n+1), respectively. The r, which is known as the bifurcation parameter, controls the transition from a stable to an unstable state. For example, it can be related to the flow velocity (or, say the Reynolds number) if we are interested in a turbulent fluid flow. For low values of r, Equation (1) yields steady solutions, meaning that the values of x at times t(n) and t(n+1) are the same. For example, if r is less than 0.25, only the trivial solution is valid (i.e., x=0.0, no flow!). If r is between 0.25 and 0.75, this equation converges to a single value of x: for r=0.5, x=0.5, and for r=5/12, x is 0.4. These results correspond to time independent phenomena, such as those observed for a steady laminar flow. As a laminar pipe flow becomes unsteady with increasing flow velocity, this logistic map becomes unsteady with increasing r value beyond 0.75. For example, at r=0.8, the solution begins to fluctuate between x values of about 0.5 and 0.8. With further increase in r, say above 0.9, the fluctuations become unpredictable, or chaotic, similar to the fluctuations in fully turbulent flows. The relation between x and r are depicted in Figure 2a-c, which are called bifurcation diagrams. Note that Figures 2b and 2c are enlarged versions of Figure 2a, in order to show the details. With increasing r, the solution of Equation (1) goes through a period doubling (note the “forks” in Figures 2), and then eventually yields more unstable, chaotic solutions (as marked with darker regimes). However, there are some windows in r where chaotic behavior is replaced with more uniform periodic behavior. After noting the surprising ability of this simple equation to display the features of a dynamical system such as The Center for Applied Energy Research Announces A New Process for Removing Organic Pollutants from Textile Dyeing Wastewaters PROBLEM: The textile industry uses more than 100 billion gallons of water each year. The majority of this water, which is used in preparation and dyeing processes, contains contaminants and requires extensive treatment before discharge. Existing treatment technologies are inefficient and expensive. SOLUTION: A new treatment process is under development by the CAER for the simultaneous removal of colors and heavymetal pollutants. The innovative process consists of three stages: hydrophobic precipitation of contaminant species using proprietary chemicals; self-association of the colloid particles to form aggregates with a polymer-like network; and separation of the aggregates from water. PROPOSAL PRESENTATION: The CAER is seeking a consortium of sponsors to participate in the advancement and application of this problem to the treatment of various industrial wastewaters. The details of the proposal will be presented at a meeting of interested industrial representatives on March 4, 1997 at the CAER. If you are interested in attending, or if you would like additional information, please contact: Dr. B.K. Parekh, Associate Director Center for Applied Energy Research 3572 Iron Works Pike, Lexington, KY 40511 PHONE: 606-257-0239 FAX: 606-257-0302 e-mail: [email protected] (continued, page 4) 3 Flames, (continued) fluid flow, one can hypothesize the use of a series of these maps to explain more complex systems, such as radiating turbulent flames. Of course, this hypothesis is useless unless supported experimentally. This work is supported by DOE-PETC's Advanced University Coal Research Program. This is the first of a two-part series. Pinar Mengüç is a Professor and Jim McDonough is an Associate Professor in UK’s Department of Mechanical Engineering. Figure 2. Logistic map based on Eq. (1). Here, r can be any parameter, such as the Reynolds number, or the axial location in the flame. The parameter x is a dependent function, such as the local soot volume fraction; as the flame becomes turbulent (chaotic) the solution fluctuates between multiple values of x. The second and the third frames show the same map in detail (note the range of r). A Lesson from Dr. Teller by Marybeth McAlister, Editor, Energeia Kathie Sauer, graphic artist; Marybeth McAlister, author; Dr. Edward Teller; and Dr. Burt Davis, CAER Associate Director W hen I was in college (seemingly eons ago now), I proudly wore a “No Nukes” T-shirt. I was an English major with no background in science: fuel, nuclear or otherwise. I wore that T-shirt and espoused that philosophy with the best of intentions. I was young, liberal, and wanted to do what I could to save the world, the whales, the children, and a slew of miscellaneous causes. There was no Vietnam to protest, so Three-Mile Island was our chant. I moved to New York after graduation and helped organize a Nuclear Freeze march in Manhattan. There were 200,000 people in Central Park with me. Again, mostly wellintentioned people with good hearts, but very few facts. I had the opportunity to spend three days with Dr. Edward Teller recently. He was the CAER Distinguished Lecturer this year, and spoke on the history of atomic weapons to a capacity crowd at UK. Dr. Teller’s views of nuclear energy and a strong defense are well known. In addition to the atomic weapons lecture, he gave two technical talks on underground nuclear reactors for the next century. It was an exciting week, as one of the great scientific minds of this century discussed the facts behind his strongly held belief that nuclear energy would be the best energy source for now and the future. I was lucky enough to spend a good deal of time with him that week. We talked about my early foray into pseudo-radicalism, and my “No Nukes” philosophy. He asked me what he could have done to “reach me” then. I told him nothing, because it was a period of growing up, where good intentions were more important to me than facts. 4 Frankly, I don’t know exactly what my stand is on nuclear energy now. The one thing I DO know, is that it’s legitimate to believe fervently in whatever you want, as long as you have the knowledge, background, and facts to support your argument. With all of Dr. Teller’s amazing stories of Hungary before World War II, Los Alamos, Einstein, and Trinity, the greatest impact he had on me was the importance of knowing what you believe as well as why you believe. . . . And News of A Past Lecturer Sir Harold Kroto, the first CAER Distinguished Lecturer was recently awarded the Nobel Prize for Chemistry for his work on the discovery of Fullerenes, or Bucky Balls, which was jointly shared by Richard Smalley and Robert Curl. Congratulations, Dr. Kroto, on receiving the ultimate accolade from all of us at the CAER. COMMENTARY Forget-me-not (Myosotis sylvatica) Frank Derbyshire, Director, CAER What’s in a name? Step one is to unobtrusively scan the person of your protagonist to see if you can spot a name badge or similar adornment. The gaudy monogram is uncommon these days, and the name badge offers the best of a bad bet. Sadly, these insignia rarely fulfil their purpose and promise. For a start, they are frequently obscured by some article of clothing, or they are worn at waist level, or they are sported at such a rakish angle that all one can see is a reflection of the room lighting. But the worst impediment is another consequence of having been on the scene for far too long, when one’s “sell by” date has expired. That is, myopia. Of course, it does not help that some namebadge designers elect a type size so miniscule that it would be incomprehensible to a literate peregrine falcon, while others, in a frenzy of creativity, elect a font so ornate that its proper place is in a mediaeval illuminated manuscript. Nevertheless, the fact remains that you are (probably) shortsighted. Short of removing one’s spectacles and scrutinizing the name badge from an up-close and personal vantage point - a prospect that is almost too horrific to contemplate and could easily embroil you in a legal suit over some form of harassment - the odds are that your goose is well and truly cooked vis-à-vis name badge identification. A man walked into the doctor’s office and said, “Doctor, I’m worried.” Doctor: “What is the problem?” Man: “I can’t seem to remember anything for more than a few minutes.” Doctor: “Really? And how long has this been going on?” Man: “How long has what been going on?” This is one of many jokes that exploit the subject of a faulty memory. I can’t remember most of them, but this particular joke is one that I don’t seem to be able to forget. The subject of this article addresses the same topic. Specifically, my theme is concerned with the occasional and temporary inability to recall faces and names and to be able to place any matching pair in the correct combination. This phenomenon is often attributed to the inexorable advance of what I prefer to call maturity (other expressions could also be used), although I believe that there are alternative legitimate causes, as I shall discuss. Stranger than fiction Independent of their age, most people, at one time or another, have had the experience of being accosted by person or persons apparently unknown. Confusingly, the assailants refuse to comport themselves like the complete strangers that they obviously are. Without a trace of embarrassment, they will attempt to engage one in conversation and may even have the effrontery to display an intimate knowledge of one’s personal history, quoting names, dates, or places with disturbing accuracy. These strange encounters tend to occur, more often than not, when one is attending a meeting or is at some other function. Consequently, one does not have to be a Sherlock Holmes to speculate that the intruder may be engaged in similar business and that, risible as it seems, there exists the remote prospect that there may actually be grounds for this offensive familiarity. Point and counterpoint What next? The next resort, unpalatable as it may be, is to engage in conversation. Clearly, with a few well-posed questions, aided by your rapier-like wit, your assailant will unwittingly offer some verbal aide memoire and the conundrum will be solved. Ha, ha. Be realistic. The following is an example of a more likely outcome of the chat between you and ?: You: “Where exactly did you start your travels to come here?” ?: “From home.” Resistance is useless and When faced with this dilemma, a natural and perfectly forgivable reaction, and one that I strongly endorse, is to run away. On the other hand, one could always try to call a policeman, even though it is well-known that a policeman is never around when one is needed. In any case, it is probable that neither option is available and that you are scuppered. Like any premeditated ambush, you, the innocent ambushee, are caught unawares, because the lowly and cunning ambusher has had ample time and opportunity to develop a foolproof strategy. In simple terms, by the time that the initial conversational salvo is fired, there are few if any escape routes that would not cause a major breach of polite behavior or even a diplomatic incident. The only recourse is to bluff. Stall to gain time and hope to subtly elicit some revealing clue to the identity and affiliation of one’s adversary. You: ?: “Have you seen anyone else here?” “Just the usual crowd.” It could be worse. For example, ? may not have a very good command of your native tongue, in which case: You: “Where exactly did you start your travels to come here?” ?: “Thank you.” and You: ?: “Have you seen anyone else here?” “You are welcome.” (continued, page 6) 5 Commentary, (continued) At this juncture, there are few options left: hope for the intervention of a third party (warning - this could really put the fat in the fire); become hopelessly inebriated (not recommended even if there is enough sauce available - there isn’t usually); feign a fainting fit; or hold your ground. In the last eventuality, it is essential to avoid giving direct answers to questions. Just mutter words like “of course,” “precisely,” “absolutely,” and “ah yes” at appropriate moments, and sooner or later your molester will think you boring or completely mad or both and give up and go. Because of (a) and the repetition of (b), many people have seen you whereas your attention has been focused on the presentation materials and the availability of free food and drink. Hence, there is every excuse for the failure to recognize someone who: (i) you may never have met, (ii) may have been but a face in the crowd, or (iii) asked a very awkward question. 1997 Hydrocarbon Resources Gordon Research Conference Fête takes a hand Why has this happened to you? Well, probably you deserve it. But there could be other reasons as well. It is possible that your memory is not really on the blink. Try some simple tests. Write down your name, address, and telephone number and check the details against the information in your bag or wallet. If you score close to 100 %, you might not be suffering an age-related malfunction after all. At least, not yet. In this case, I prefer the following explanation: (a) (b) You attend many such functions. You usually give a presentation. (Usually it is the same presentation as last time.) I appreciate that for some this interpretation may appear to trivialize a worrisome circumstance. As a fellow sufferer, I fully sympathize with this position, which is why I have left no stone unturned to develop a cogent argument that is based soundly on logic and proven scientific facts and that should satisfy the most concerned and enquiring mind. Unfortunately, it will have to wait as I cannot quite remember it at the moment. January 12-17, 1997 Holiday Inn, Ventura, CA This conference will span a broad range of topics in hydrocarbon utilization from mechanisms of conversion, to catalysis, to coke formation, to the preparation and use of high-performance carbon materials. A panel discussion on the future directions of hydrocarbon R & D will be included. For more information, please contact: Isao Mochida Institute of Advanced Material Study Kyushu University Kasuga, Fukuoka 816, JAPAN Phone: 81-92-583-7797 FAX: 81-92-583-7798 E-Mail: [email protected] John H. Shinn Chevron Research & Technology Co. Richmond, CA USA Phone: 510-242-2502 FAX: 510-242-4808, 510-242-1376 E-Mail: [email protected]. Energeia is published six times a year by the University of Kentucky's Center for Applied Energy Research (CAER). The publication features aspects of energy resource development and environmentally related topics. Subscriptions are free and may be requested as follows: Marybeth McAlister, Editor of Energeia, CAER, 3572 Iron Works Pike, University of Kentucky, Lexington, KY 40511-8433, (606) 257-0224, FAX: (606)-257-0220, e-mail: [email protected]. Current and recent past issues of Energeia may be viewed on the CAER Web Page at www.caer.uky.edu. Copyright © 1996, University of Kentucky. UNIVERSITY OF KENTUCKY Non-Profit Organization U.S.Postage PAID Center for Applied Energy Research 3572 Iron Works Pike University of Kentucky Lexington, Kentucky 40511-8433 Lexington, Kentucky Permit No. 51 6
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