Mechanistic Study of Nano-Particle Fluidization

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Refereed Proceedings The 1th International Conference on Fluidization - New Horizons in Fluidization Engineering Engineering Conferences International Year 007 Mechanistic Study of Nano-Particle Fluidization X. S. Wang F. Rahman Martin J Rhodes Monash University Monash University Monash University, martin.rhodes@eng.monash.edu.au This paper is posted at ECI Digital Archives. http://dc.engconfintl.org/fluidization xii/4

FLUIDIZATION XII 353 Wang et al.: Mechanistic Study of Nano-Particle Fluidization MECHANISTIC STUDY OF NANO-PARTICLE FLUIDIZATION X.S. Wang, F. Rahman, M.J. Rhodes * Department of Chemical Engineering, Monash University, P.O. Box 36, Clayton 3800, Australia T: 61-3-9905-3445; F: 61-3-9905-5686; E: martin.rhodes@eng.monash.edu.au ABSTRACT Degussa Aerosil R974 powder, with a primary particle size of 1 nm, was fluidized using nitrogen in a cylindrical vessel, 50-mm-id and 900 mm in height. Characteristics of incipient fluidization are analysed in relation to variations in the initial packing conditions. Bed collapse experiments were performed and the results are used for assessing fluidization characteristics of the particles. It was found that nanoparticles exhibit characteristics of both Group A and Group C powders. Various methods for estimating the cohesion forces between nanoparticle aggregates are discussed. INTRODUCTION Nanoparticle fluidization has been a topic of increasing research interests over recent years due to its potential applications in reaction engineering, particle formation, processing and coating. Previous studies have shown that nanoparticles may be fluidized in the form of light and loose aggregates, and that the fluidized nanoparticles are fluid-like. Despite some concerted efforts devoted to this topic (e.g., 1 4), our understanding of nanoparticle fluidization is still far from satisfactory. In fact, very little is known about the conditions associated with the start of fluidization of these particles. In addition, although it is commonly perceived that interparticle forces play an important role in determining the characteristics of nanoparticle fluidization, there is a lack of quantitative studies of the cohesion forces between nanoparticle aggregates. In this study, the above issues are addressed through a combination of experimental and analytical studies. EXPERIMENTAL The fluidized bed used in this study is shown schematically in Fig. 1. The fluidization vessel was a glass tube of 50 mm id and 900 mm in height. High-purity nitrogen was supplied to the bed through a porous distributor plate, 3 mm thick, made from sintered bronze with a nominal pore size of 10 µm. The flow rate of nitrogen was controlled by a needle valve and measured with a rotameter. The particles used Published by ECI Digital Archives, 007 1

354 WANG, RAHMAN, RHODES were The Aerosil 1th International R974 (Degussa) Conference on Fluidization hydrophobic - New Horizons silica. in Fluidization The primary Engineering, particle Art. 4 [007] size and density were 1 nm and 00 kg/m 3 respectively, with a bulk density of 30 kg/m 3 and external surface area of 00 m /g. The pressure drop through the bed was measured with a digital manometer. Before being vented to the atmosphere, the exhaust gas was filtered using a porous metal filter with 5 µm nominal pore size, and further cleaned by water scrubbing. The pressure drop through the porous metal filter was monitored using a normal water-manometer. The metal filter was cleaned using reversed pulsed flow of nitrogen before each experiment. PT to Nylon screen filter sintered metal filter PT water fluidization column (glass) PT PT sintered metal distributor plate dry N (metered) PT pressure tapping Fig. 1: Schematic diagram of experimental set-up. RESULTS AND DISCUSSION Incipient Fluidization of Nanosized Particles Characteristics of incipient fluidization were investigated by increasing the superficial gas velocity in small steps (e.g., 0.5 mm/s). After each velocity increment, any motion of the particles in the bed was noted and the bed pressure drop and bed expansion ratio were recorded. A typical curve of bed pressure drop as a function of increasing velocity is shown in Fig.. When the gas velocity was very low, e.g., below 0.1 cm/s, the pressure drop was low and the motion of particles was negligible. The pressure drop gradually increased with increasing gas velocity, and a point was reached at which the pressure drop approximately balanced the weight of the particles per unit area. As the velocity was further increased, the pressure drop continued to increase until the pressure drop was about 15% above the weight of the particles per unit area. Further increase in gas velocity led to the start of fluidization and evident bed expansion. The amount of pressure drop above the weight of the particles per unit area has been loosely http://dc.engconfintl.org/fluidization_xii/4 termed as overpressure and pressure overshoot in the fluidization

FLUIDIZATION XII 355 literature. These terms Wang are et used al.: Mechanistic interchangeably Study of Nano-Particle in this Fluidization paper for ease of description. The overpressure was required for overcoming the adhesion between the particles and the distributor plate, together with any friction between the particles and the walls. We have observed that the pressure overshoot remained constant (about 1 Pa) when the static bed height was relatively small (e.g. below 30 mm). As the static bed height was relatively large (e.g., above 50 mm), an overpressure of up to 3 Pa was obtained, indicating that the wall friction plays an increasing role in the overall pressure drop for these conditions. 1.5 Pressure drop / Bed weight per unit area (-) 1.0 0.5 0.0 0.0 0.5 1.0 1.5.0 Superficial gas velocity (cm/s) Fig. Variation of bed pressure drop as a function of increasing superficial gas velocity (even packing; static bed height = 5 mm). The fluidization behaviour shown in Fig. represents an idealized packed-bed condition where the particles are fairly uniformly distributed. In this case, the overpressure enables breaking of the bonding between the particles and the distributor plate, as well as any interconnected channels and cracks formed for the lower velocity range. So, soon after the occurrence of fluidization, the pressure drop decreased to, and remained at, a level which approximately balanced the weight of the particles per unit area. In the case of initial uneven packing of particles in the bed, the pressure overshoot was found to be accompanied by vigorous eruption of particles via local channels. With increase in gas velocity, the channels were observed to merge and fluidization was found to first occur near the central region of the bed. The fluidized region then expanded towards the walls until the whole bed became fluidized. The reason for delayed fluidization near the walls is that the particles tended to stick around the corners of the distributor plate. Since only a proportion of the particles participated at the initial stage of fluidization, we would expect a region where the pressure drop is smaller than the weight of the particles per unit area. An example of this behaviour is shown in Fig. 3. Published by ECI Digital Archives, 007 3

356 WANG, RAHMAN, RHODES The 1th International Conference on Fluidization - New Horizons in Fluidization Engineering, Art. 4 [007] 1.5 Pressure drop / Bed weight per unit area (-) 1.0 0.5 0.0 0.0 0.5 1.0 1.5.0 Superficial gas velocity (cm/s) Fig. 3 Variation of bed pressure drop as a function of increasing superficial gas velocity (uneven packing; static bed height = 17.5 mm). In cases of strong bonding between the particles and the distributor plate, e.g., after the particles were left in the bed for too long, a relatively high pressure drop was observed even at very low gas velocities (e.g., about 0.5 Pa at a superficial gas velocity of 0.1 cm/s). This is because the gas flow was initially blocked due to tight packing of the particles. These observations suggest that nanoparticles exhibit typical Group C behaviour before fluidization occurs. The Cohesive Nature of Nano-Particle Fluidization Due to their sizes, nano-particles would fall in the cohesive category of the Geldart (5) diagram. These particles are usually difficult to fluidize. Yet mounting experimental evidences show that these particles may achieve homogeneous (bubble-less) fluidization with considerable bed expansion, which partly resembles a Group A behaviour. We performed bed collapse experiments in order to determine whether the fluidization behaviour of nanoparticles should be classified as cohesive or Group A. In these experiments the particles were first fully fluidized. The gas supply was then abruptly stopped. The process of particle settling was recorded by a video camera at 5 frames per second. A plot of the variation of bed height with time is shown in Fig. 4. For comparison, a typical bed-collapse curve for Group A particles is also shown in this figure. The head of the bed initially fell at a fairly constant velocity, as particle aggregates were sufficiently separated from each other at this stage. After about 5 s, the inter-aggregate cohesion force started to dominate and the settling process was hindered. The collapse curve obtained consists of two stages: a hindered sedimentation stage and a solid consolidation stage. Unlike Group A powders, no sharp transition between the sedimentation stage and the solid consolidation stage was evident for nanoparticles. In addition, a relatively longer consolidation stage was observed for nanoparticles. The above results point to a typical Group C behaviour for nanoparticles. Geldart et al. (6) suggested that the Group C powders might remain in a slightly aerated state for a considerable period, from several minutes to several hours. http://dc.engconfintl.org/fluidization_xii/4 4

FLUIDIZATION XII 357 50 Wang et al.: Mechanistic Study of Nano-Particle Fluidization bed height (mm) 00 150 100 50 hindered sedimentation solid consolidation 0 10 0 30 time (s) Group A nanoparticle Fig. 4 Example of bed collapse after fluidizing gas was turned off (static bed height = 75 mm). Calculation of Inter-Aggregate Cohesion Force It is now known that nanoparticles are fluidized in the form of loose aggregates. These aggregates differ from normal particles in that their sizes may adjust to operating conditions, e.g., changing gas velocities (7). Most of the reported sizes for the aggregates are in the 100 to 300 µm range. Wang et al. (7) found that the sizes of Aerosil R974 particles are about 0 µm surrounding the incipient fluidization conditions. The average void fraction of the aggregates was found to be about 0.99 (8), which gives a density of about kg/m 3 for the aggregates. In the discussion below, we will assess various methods for calculation of the cohesion forces between the aggregates. Hamaker s microscopic approach The van der Waals force between two spherical aggregates may be estimated by Hamaker s microscopic theory (9-11), as expressed in Eq. (1) A d ad mi asp F =. (1) 1Z d a + d 0 asp in which A mi is Hamaker constant, which is 5 10-19 J for SiO for the microscopic theory (1), Z 0 is the distance where the van der Waals force is maximum, approximately 4 10-10 m, d a is aggregate diameter, and d asp is the diameter of asperity. In our case, d a = 0 µm and d asp = 1 nm. The inter-aggregate cohesion force calculated from Eq. (1) is 3.13 nn for our conditions. Lifshitz s macroscopic theory Another well-known approach for calculating the attractive force between two spheres is based on Lifshitz s macroscopic theory (9), as expressed in Eq. (), hϖ hϖ F = R[1 + ] () 3 Published 8πZ by 0 ECI Digital 8 Archives, π Z 0 H 007 5

358 WANG, RAHMAN, RHODES The 1th International Conference on Fluidization - New Horizons in Fluidization Engineering, Art. 4 [007] The term hϖ is a Lifshitz-van der Waals constant, which is related to the Hamaker constant A ma by hϖ = (4/3)πA ma. The value of A ma is 8.55 10-0 J for SiO particles (1). H in Eq. () describes the hardness of the bodies in contact, which is 10 8 N/m for undeformable solids. Parameter R is a geometric mean of the radii of the spheres in contact, defined as R = (R 1 R )/(R 1 +R ), where R 1 and R are radii of the spheres. Rumpf (10) proposed the following modified expression to account for presence of surface asperities F hϖ r R = [ + 8 π Z ( r + Z 0 0 ) ] (3) Parameter r in Eq. (3) represents a geometric mean of the radii of asperities, i.e., r = (r 1 r )/(r 1 +r ), where r 1 and r are radii of the asperities. The values of r and R are 3 nm and 55 µm, respectively, in our case, assuming r 1 = r = 0.5 (primary particle diameter) and R 1 = R = 0.5 d a. These give an inter-aggregate force of 67. nn. Calculation based on measurement of pressure overshoot Valverde et al. (13) have shown that, provided that the static bed height is small, the tensile yield stress of a cohesive powder (σ) approximately equals the pressure overshoot at incipient fluidization. The tensile stress is related to the cohesion force between the aggregates by the following expression (10, 11), (1 ε) Fk σ = (4) d a π where d a is aggregate diameter, k is coordination number, i.e., the number of contacts per aggregate, and ε is void fraction around the aggregates. Jaraiz et al. (14) proposed the following cubic equation for calculating the coordination number from the void fraction around the aggregates, 3 k = 17.517 41.838ε + 37.08ε 10.815ε (5) For a voidage around the aggregates of 0.47, the value of k is found to be about 4.9. For d a = 0 µm and σ = 1 Pa from our experiments, we find F = 58.3 nn. Assessment of different approaches For a particle aggregate to be fluidized, the drag force acting on the aggregate should approximately balance its buoyant weight. It is therefore constructive to compare the cohesion forces in relation to the buoyant weight of a single aggregate (F g ). The value of F g can be calculated from the following expression: 1 3 Fg = πd a ( ρ a ρ g ) g (6) 6 where ρ a and ρ g are aggregate and gas density, respectively. For ρ a = kg/m 3 (assuming a void fraction of 0.99 for the aggregate) and ρ g = 1. kg/m 3, we find F g = 1.14 nn for an aggregate of 0 µm in diameter. Let s use K to denote the ratio of the inter-aggregate cohesion force to the buoyant weight of a single aggregate, i.e., K = F/F g. The value of K provides a good indication of http://dc.engconfintl.org/fluidization_xii/4 the characteristics of fluidization (15). As a rough guide, the value of K should 6 be

FLUIDIZATION XII 359 below 3 for Group B particles, Wang et al.: Mechanistic between Study 3 and of Nano-Particle 40 for Group Fluidization A particles, and above 40 for cohesive particles (15, 16). The values of K based on various approaches for calculation of the inter-aggregate forces are given below:.75 - Hamaker s microscopic theory 58.95 - Lifshitz s macroscopic theory 51.14 - Calculation based on pressure overshoot It is interesting to note that the value of K based on Lifshitz s macroscopic theory is comparable with the value based on the measurement of pressure overshoot. These values point to a cohesive behaviour, which is in agreement with the results presented in Fig. 4. On the other hand, the value of K based on Hamaker s microscopic theory indicates a behaviour close to the boundary between Groups B and A particles, hence contradicting the bed-collapse results. CONCLUSIONS An experimental study of nanoparticle fluidization is presented. Nanoparticles exhibit homogeneous fluidization, which is a characteristic Group A behaviour, but show typical Group C behaviour at other times (e.g., during initialization of fluidization and bed-collapse tests). We still do not fully understand how this happens, but it seems to be related to the formation of aggregates. For the conditions applied, an overpressure between 10 and 0% was found to be required for incipient fluidization to occur. Analysis shows that both the pressure overshoot and Lifshitz s macroscopic theory give realistic values for the inter-aggregate cohesion force. ACKNOWLEDGMENT The authors gratefully acknowledge the financial support of Australian Research Council grant DP0556095. They wish to thank Professor Alan Weimer of the University of Colorado, Boulder, for his help in the design of the fluidized bed used in this study. NOTATION A mi Hamaker constant (microscopic theory) A ma Hamaker constant (macroscopic theory) d a aggregate diameter d asp diameter of asperity F cohesion force F g buoyant weight of a single aggregate H hardness of the bodies in contact k coordination number K ratio of cohesion force to single-aggregate buoyant weight r geometric mean of the radii of asperities in contact r 1, r radii of the adhering asperities R geometric mean of the radii of agglomerates in contact R 1, R radii of the adhering agglomerates Z 0 the distance where the Van der Waals force is maximum ρ a aggregate density ρ g gas density ε voidage around the agglomerates σ tensile stress Published by ECI Digital Archives, 007 7

360 WANG, RAHMAN, RHODES hϖ The Lifshitz-Van 1th International der Conference Waals constant Fluidization - New Horizons in Fluidization Engineering, Art. 4 [007] REFERENCES 1. Hakim, L.F., Portman, J.L., Casper, M.D., Weimer, A.W. (005), Aggregation behaviour of nanoparticles in fluidized beds. Powder Technology, 160, 149-160.. Nam, C.H., Pfeffer, R., Dave, R.N., Sundaresan, S. (004), Aerated vibrofluidization of silica nanoparticles, AIChE J., 50, 1776-1785. 3. Valverde, J.M., Castellanos, A. (006), Fluidization of nanoparticles: a modified Richardson-Zaki law, AIChE J., 5, 838-84. 4. Zhu, C., Yu, Q., Dave, R.N., Pfeffer, R. (005), Gas fluidization characteristics of nanoparticle agglomerates, AIChE J., 51, 46-439. 5. Geldart, D. (1973), Types of gas fluidization, Powder Technology, 7, 85. 6. Geldart, D., Harnby, N., Wong, A.C. (1984), Powder Technology, 37, 5-37. 7. Wang, X.S., Palero, V., Soria, J., Rhodes, M.J., (006), Laser based planer imaging of nano-particle fluidization: Part I - determination of aggregate size and shape, Chemical Engineering Science, 61, 5476-5486. 8. Wang, X.S., Palero, V., Soria, J., Rhodes, M.J., (006), Laser based planer imaging of nano-particle fluidization: Part II Mechanistic analysis of nanoparticle aggregation, Chemical Engineering Science, 61, 8040-8049. 9. Krupp, H. (1967), Particle Adhesion: Theory and Experiment, Adv. Colloid Interface Sci. 1 111-39. 10. Rumpf, H. Particle Technology, Carl Hanser Verlag, Germany, 1975. 11. Molerus, O. (1975), Theory of Yield of Cohesive Powders, Powder Technology, 1, 59-75. 1. Visser, J. (197), On Hamaker Constants: A Comparison between Hamaker Constants and Lifshitz- Van der Waals Constants, Adv. Colloid Interface Sci. 3, 331-363. 13. Valverde, J.M., Ramos, A., Perez, Castellanos, A., Watson, P.K. (1998), The tensile strength of cohesive powders and its relationship to consolidation, free volume and cohesivity, Powder technology, 97, 37-45. 14. Jaraiz, E., Kimura, S., Levenspiel, O. (199), Vibrating beds of fine particles: estimation of interparticle forces from expansion and pressure drop experiments, Powder Technology, 7, 3-30. 15. Rhodes, M.J., Wang, X.S., Forsyth, A.J., Gan, K.S., Phadtajaphan, S. (001), Use of magnetic fluidized bed in studying Geldart Group B to A transition, Chemical Engineering Science, 56, 549-5436. 16. Rhodes, M.J., Wang, X.S., Nguyen, M., Stewart, P., Liffman, K. (001), Onset of cohesive behaviour in gas fluidized beds: a numerical study using DEM simulation, Chemical Engineering Science, 56, 4433-4438. http://dc.engconfintl.org/fluidization_xii/4 8