applied sciences
Article Improving Fluidization Hydrodynamics of Group C Particles by Mixing with Group B Particles
Ebrahim H. Al-Ghurabi, Abdelhamid Ajbar and Mohammad Asif * ID Department of Chemical Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia; [email protected] (E.H.A.-G.); [email protected] (A.A.) * Correspondence: [email protected]; Tel.: +966-56-981-7045
Received: 8 August 2018; Accepted: 22 August 2018; Published: 27 August 2018
Featured Application: As a first step towards developing a simple yet cost-effective technique based on the fluidized bed technology for the treatment of carbon dioxide present in post-combustion flue gases from power plants, we have rigorously investigated the improvement in the fluidized bed hydrodynamics of fine adsorbent particles by mixing with group B particles. Any improvement in the fluidization of fine particles will ultimately translate into higher capture efficiency of the carbon dioxide by the fluidized bed containing fine adsorbent powders.
Abstract: We have developed a new particle-mixing strategy for improving the fluidization hydrodynamics of Geldart group C powders by mixing with small proportions of group B particles. Two different group C particles with widely different physical properties, i.e., 1 µm calcium hydroxide powder and 27 µm porous activated carbon, were selected for investigation in the present work. A carefully sieved sample of inert sand was used as external group B particles for mixing. Fluidization experiments were carried out, and the quality of the fluidization was assessed using the fluidization index. For the monocomponent fluidization of fine calcium hydroxide powder, pressure drop was sometimes as much as 250% higher than the effective weight of the bed. The proposed strategy of particle mixing substantially improved its fluidization hydrodynamics. On the other hand, the development of channels and cracks during the monocomponent fluidization of the activated carbon led to gas bypassing, resulting in low pressure drop and poor contact of phases. Particle mixing was found to improve fluidization behavior, and the chi-squared test showed that the best results were obtained with 13 wt% particle mixing.
Keywords: group C particles; assisted-fluidization; particle mixing; fluidization index; chi-squared test
1. Introduction For efficient and effective utilization of the solid phase in process industries, the use of small particles is often recommended because of their high surface areas. A large surface area invariably ensures high heat and mass transfer rates and better utilization of catalyst particles where the internal mass transport resistance controls the overall mass transport process. However, gas-solid contacting involving small particles in process industries poses a major challenge irrespective of whether it is implemented in a fixed or a fluidized mode of operation. When a fluid flows through a fixed bed of solid particles in the laminar flow region, the pressure drop inversely varies with the square of the particle diameter. Thus, the high pressure drop associated with small particles would eventually translate into a high energy cost, thus compromising the cost effectiveness of the process. An otherwise preferred mode of gas–solid contacting for small particles is fluidization. However, fine powders consisting of small particles (less than 30 µm in size), often cohesive in nature, are difficult to fluidize as they develop channels and cracks through which the fluidizing gas tend to bypass the solid materials
Appl. Sci. 2018, 8, 1469; doi:10.3390/app8091469 www.mdpi.com/journal/applsci Appl. Sci. 2018, 8, 1469 2 of 13 present in the bed, thus resulting in poor contact and inefficient mixing. Geldart classified such powders as group C [1]. Similarly, powders typically in the range of hundreds of micrometers, classified as group B, exhibit bubbling behavior, in which a substantial fraction of the fluidizing gas tend to escape as bubbles without coming into contact with the resident solid phase of the fluidized bed. By contrast, powders in the intermediate size range, classified as group A, show smooth and particulate fluidization behavior, resulting in intimate contact and efficient mixing of the gas and solid phases. To improve the fluidization behavior of solids with poor fluidization hydrodynamics, various techniques and strategies have been proposed in the literature [2–10]. The main objective of these techniques, commonly known as assisted fluidization techniques, is to provide additional energy to the fluidized bed to overcome interparticle forces that are responsible for the cohesive nature and other non-homogeneities during fluidization. Of particular interest in this connection is the fluidization of fine cohesive powders due to their intrinsically high surface area to volume ratios. An extensive review on this topic has recently been presented by Raganati et al. [11]. They pointed out the dominance of interparticle forces as being primarily responsible for the non-homogeneities observed during fluidization. Several studies highlighted the effect of the interparticle force on the fluidization hydrodynamics [12–16] and proposed techniques for their measurement [17]. Among the assisted fluidization technique is the pulsation of the inlet flow to the fluidized bed, which has been shown to improve the fluidization hydrodynamics of ultrafine powders [18–21]. Another extensively employed technique is the introduction of acoustic vibrations during fluidization [22–24]. This technique helps to lower the minimum fluidization velocity and eliminate non-homogeneities in a bed of ultrafine powder [22]. Si et al. [24] used this technique for drying lignite by varying the sound pressure level and frequency and reported the fluidization quality. The rate of drying and drying completion time improved at high sound pressure levels. Despite being effective in improving the quality of the fluidization, this technique is energy intensive and requires modification in the fluidization setup for introducing the acoustic vibration in the bed. Another simple and cost-effective assisted fluidization technique that does not require input of energy is the addition of external particles. A careful selection of external particles even in small proportions can substantially improve the fluidization hydrodynamics [7,25,26]. The addition of external particles of Group A to the bed of nanoparticles suppresses hysteresis and substantially reduces the size of agglomerates [7,26]. The objective of the present work is to improve the fluidization hydrodynamics of Group C particles by using the assisted fluidization technique of particle mixing. However, instead of group A particles, we used large group B particles in the present study. This strategy can potentially offer several advantages as compared with group A particles. First, it can help in shifting the properties of the resulting mixture in the intermediate range of group A classification. Second, the milling action of the large and heavy group B particles during fluidization can suppress agglomeration that is often noticed with group C particles, thus improving the fluidization hydrodynamics of the mixture. Third, it can lower the amount of external particles required for achieving comparable efficacy of group A particle mixing. We carried out a detailed study by choosing two different kinds of group C particles such that one of the samples comprised 1 µm calcium hydroxide, whereas the other was a high-surface-area porous 27 µm activated carbon, which lies almost on the boundary of group C. For the addition of the group B particle, we used a carefully sieved sample of sand with 256 µm in size. We carried out fluidization studies in the presence and absence of external particles and evaluated the fluidization quality by computing the fluidization index. The data were then processed using the chi-squared test to characterize the fluidization hydrodynamics.
2. Experimental A schematic of the experiment setup is shown in Figure1. A vertical Perspex column of 70 mm internal diameter and 1000 mm length was used as a test section for fluidization experiments. Appl. Sci. 2018, 8, 1469 3 of 13
A perforated plate distributor was located at the bottom of the test section to support the solids present in the bed and to ensure uniform distribution of the flow over the entire cross-section of the column. It comprised of a 10 mm-thick Perspex plate containing 1.5 mm holes on a square pitch such that 4% of the open area of the distributor area is open. It was covered by a nylon mesh to avoid the raining down of solid particles through the distributor’s holes. As shown in Figure1, a 250 mm-long calming section precededAppl. Sci. 2018 the, 8, testx FOR sectionPEER REVIEW of the column for eliminating entry effects. The top of3 of the13 column was connected with a flexible housing to release the outlet gases coming out of the test section to the environmentin the outside bed and the to ensure lab and uniform to prevent distribution the buildupof the flow of over nitrogen the entire inside cross-section the lab. of Openingsthe column. along the It comprised of a 10 mm-thick Perspex plate containing 1.5 mm holes on a square pitch such that 4% height of theof the column open area were of the provided distributor for area the is open. measurement It was covered of theby a pressurenylon mesh drop. to avoid The the lowestraining port was located at adown distance of solid of particles 50 mm through from the distributor’s distributor ho toles. avoid As shown distributor in Figure 1, non-uniformities a 250 mm-long calming affecting the measurements.section Otherpreceded openings the test section were of placed the column along forthe eliminating height entry of the effects. column The top at aof multiple the column of 250 mm from the distributor.was connected with a flexible housing to release the outlet gases coming out of the test section to the environment outside the lab and to prevent the buildup of nitrogen inside the lab. Openings along The inletthe height flow of assembly the column comprised were provided a for compressed the measurement nitrogen of the cylinderpressure drop. that The was lowest connected port to an electronicwas mass located flow at controllera distance of 50 for mm monitoring from the distribu andtor controlling to avoid distributor the flow non-uniformities of the inlet affecting gas to the test section of thethe column.measurements. We usedOther aopenings sensitive, were fast-response, placed along the differential, height of the bidirectionalcolumn at a multiple pressure of 250 transducer with a responsemm from time the distributor. of 1 ms to measure the global differential pressure drop across the fluidized The inlet flow assembly comprised a compressed nitrogen cylinder that was connected to an ± bed of adsorbent.electronic Itsmass range flow controller was 5 for inches monitoring of water and controlling (Omega modelthe flow 163PC01D36-124, of the inlet gas to the Norwalk, test CT, USA). Thesection pressure of the transducers column. We were used carefully a sensitive, calibrated fast-response, from differential, volts to Pa bidirectional using a pressure pressure calibrator (Fluke modeltransducer 718, Calgary, with a response Canada). time Theof 1 ms voltage to measur signalse the global from differential the pressure pressure transducer drop across were the captured by data acquisitionfluidized bed system of adsorbent. (DAQ) Its running range was LabVIEW ±5 inches softwareof water (Omega and then model transferred 163PC01D36-124, to acomputer Norwalk, CT, USA). The pressure transducers were carefully calibrated from volts to Pa using a for furtherpressure processing. calibrator As (Fluke shown model in Figure 718, Calgary,1, the Canada). lower pressure The voltage port signals was from located the pressure at a distance of 50 mm fromtransducer the distributor, were captured whereas by data theacquisition upper system port was(DAQ) at running a height LabVIEW of 500 software mm, thereby and then providing crucial informationtransferred aboutto a computer the overall for further bed processing. dynamics. AsThe shown lower in Figure pressure 1, the lower port pressure was deliberately port was located away fromlocated the bottom at a distance of the of bed 50 mm to avoidfrom the distributor-level distributor, whereas disturbances the upper port influencing was at a height the of pressure 500 data mm, thereby providing crucial information about the overall bed dynamics. The lower pressure port recorded bywas the deliberately transducer located [27 away,28]. from On thethe bottom other hand,of the bed the to location avoid distribu of thetor-level upper disturbances pressure port was always substantiallyinfluencing the higher pressure than datathe recorded total by height the transd of theucer bed[27,28]. even On the when other the hand, bed the was location fully of fluidized. The pressurethe upper tap, which pressure was port flush was always with substantially the column higher wall, than was the covered total height with of the anylon bed even mesh. when The mass flow controllerthe bed was was also fully controlled fluidized. The using pressure the analogtap, which output was flush of thewith DAQ, the column whereas wall, thewas voltagecovered signal of with a nylon mesh. The mass flow controller was also controlled using the analog output of the DAQ, the controllerwhereas was the recorded voltage signal throughout of the controller the experiments. was recorded throughout the experiments.
Figure 1. FigureSchematic 1. Schematic of the of experimental the experimental setup setup usedused fo forr fluidization fluidization at ambi atent ambient conditions conditions using using compressed nitrogen as the fluidizing gas (broken lines represent data communication lines). compressed nitrogen as the fluidizing gas (broken lines represent data communication lines). Appl. Sci. 2018, 8, 1469 4 of 13
Appl. Sci. 2018, 8, x FOR PEER REVIEW 4 of 13 CharacterizationAppl. Sci. 2018, of8, x Solid FOR PEER Particles REVIEW 4 of 13 Characterization of Solid Particles TwoCharacterization different of particle Solid Particles samples belonging to the Geldart group C classification were used in Two different particle samples belonging to the Geldart group C classification were used in the the presentTwo work. different One particle was a high-surface-areasamples belonging to porous the Geldart activated group carbon C classification (Avonchem, were used Cheshire, in the UK), present work. One was a high-surface-area porous activated carbon (Avonchem, Cheshire, UK), whichpresent is commonly work. One used was as ana high-surface-area adsorbent for a wide porous variety activated of environmental carbon (Avonchem, applications. Cheshire, As UK), shown in which is commonly used as an adsorbent for a wide variety of environmental applications. As shown which is commonly used as an adsorbent for a wide variety of environmental applications. As shown µ Figurein2 ,Figure its particle 2, its particle size analysis size analysis reveals reveals a wide a wide size size distribution, distribution, varying varying in in the the range range of of 0.2 0.2 toto 200 m. in Figure 2, its particle size analysis reveals a wide size distribution, varying in the range of 0.2 to 200 The volume-meanμm. The volume-mean diameters diameters for three for differently-sizedthree differently-si analysiszed analysis runs runs were were 26.14, 26.14, 25.41, 25.41, andand 27.55 µm. μm. The volume-mean diameters for three differently-sized analysis runs were 26.14, 25.41, and 27.55 The SEMμm. The image SEM of image the activated of the activated carbon carbon is shown is shown in Figure in Figure3. 3. μm. The SEM image of the activated carbon is shown in Figure 3.
FigureFigure 2. Particle 2. Particle size size analysis analysis ofof thethe powderedpowdered activated activated carbon carbon sample. sample. Figure 2. Particle size analysis of the powdered activated carbon sample.
Figure 3. SEM image of activated carbon at a magnification of 20,000×. Figure 3. SEM image of activated carbon at a magnification of 20,000×. Figure 3. SEM image of activated carbon at a magnification of 20,000×. Another group C particle sample used was much smaller than calcium hydroxide with a mean Another group C particle sample used was much smaller than calcium hydroxide with a mean particle size of 1.08 ± 0.23 μm. Its SEM image, shown in Figure 4, reveals a wide size distribution Anotherparticle size group of 1.08 C particle± 0.23 μm. sample Its SEM used image, was shown much smallerin Figure than 4, reveals calcium a wide hydroxide size distribution with a mean owing to agglomeration. particleowing size to of agglomeration. 1.08 ± 0.23 µm. Its SEM image, shown in Figure4, reveals a wide size distribution owing to agglomeration. Appl. Sci. 2018, 8, 1469 5 of 13
Appl. Sci. 2018, 8, x FOR PEER REVIEW 5 of 13 TheAppl. sample Sci. 2018 of, 8, x external FOR PEER REVIEW inert particles, i.e., sand, was obtained by carefully sieving field5 of 13 sand in the lab and collectingThe sample theof external sample inert retained particles, between i.e., sand, 300 wasµm obtained and 212 by µcarefullym sieves, sieving thus field obtaining sand in sample the labThe and sample collecting of external the sample inert retainedparticles, between i.e., sand, 300 was μm obtained and 212 μbym carefully sieves, thus sieving obtaining field sandsample in µ with a meanthewith lab a size meanand ofcollecting size 256 of 256m. the μIts samplem. SEMIts SEM retained image image between is is shown shown 300 in μ Figurem Figure and 5.2125 . μm sieves, thus obtaining sample with a mean size of 256 μm. Its SEM image is shown in Figure 5.
Figure 4. SEM images of calcium hydroxide at a magnification of 1000×. Figure 4. SEM images of calcium hydroxide at a magnification of 1000×. Figure 4. SEM images of calcium hydroxide at a magnification of 1000×.
Figure 5. SEM images of inert sand samples used at magnification of 100×. Figure 5. SEM images of inert sand samples used at magnification of 100×. × The physicalFigure 5.propertiesSEM images and the of inert theoretical sand samples minimu usedm fluidization at magnification velocities of of 100 all the. particle samplesThe arephysical presented properties in Table and 1. the To theoreticalcompute th minimue theoreticalm fluidization values of velocities the minimum of all fluidizationthe particle Thesamplesvelocities, physical are the presented properties pressure dropin andTable evaluated the 1. To theoretical compute using the th Ergun minimume theoretical equation fluidization values was equate of thedvelocities minimumwith the fluidized fluidization of all the bed particle samplesvelocities,pressure are presented drop the pressure as follows: in Table drop 1evaluated. To compute using the the Ergun theoretical equation was values equate ofd the with minimum the fluidized fluidization bed pressure drop as follows: velocities, the pressure drop evaluated using the Ergun equation was equated with the fluidized bed pressure drop as follows: 2 150µU 1 − εm f 1.75ρ f U m f + m f = − 2 3 3 g ρp ρ f (1) dp εm f dpεm f Appl. Sci. 2018, 8, 1469 6 of 13 Appl. Sci. 2018, 8, x FOR PEER REVIEW 6 of 13 where subscript ‘mf ’ signifies the incipient fluidization conditions, d is the particle diameter, µ is 150 1 − 1.75 p + = − the gas viscosity, ε the bed void fraction, U is the minimum fluidization velocity, g is gravitational(1) mf acceleration, and ρP, ρ f are particle and fluid densities, respectively. The Geldart classification of where subscript ‘mf’ signifies the incipient fluidization conditions, is the particle diameter, μ is different particle samples used is presented in Table1 and Figure6. The resident solid particles the gas viscosity, ɛ is the bed void fraction, Umf is the minimum fluidization velocity, g is gravitational of the fluidizedacceleration, bed and belong , are to groupparticle C,and whereas fluid densities, the external respectively. inert The sand Geldart particles classification belong of to group B. As mentioneddifferent particle earlier, samples the used selection is presented of group in Table B particles1 and Figure for 6. mixingThe resident with solid group particles C particles of the will force thefluidized mixture bed fluidization belong to group behavior C, whereas like group the extern A, whichal inert shows sand particles a particulate belong fluidizationto group B. As behavior. The selectionmentioned of groupearlier, Cthe particle selection samples of group B greatly particles differed for mixing from with one group another C particles as the will larger force the activated mixture fluidization behavior like group A, which shows a particulate fluidization behavior. The carbon lies at the A-C boundary, whereas the smaller calcium hydroxide was as much as 25 times selection of group C particle samples greatly differed from one another as the larger activated carbon smallerlies as comparedat the A-C boundary, with its whereas larger counterpart. the smaller calcium hydroxide was as much as 25 times smaller as compared with its larger counterpart. Table 1. Main characteristics of the particle samples used. Table 1. Main characteristics of the particle samples used. Size Density Group Theoretical Particle Sample Size Density Group Theoretical 3 Particle Sample (µm) (kg/m ) Remf (-/-) Umf (mm/s) (μm) (kg/m3) Remf (-/-) Umf (mm/s) −4 −1 ActivatedActivated carbon carbon 26.4 ± 26.41.1 ± 1.1 917 917 C C 3.23.2 × 10× −104 1.86 × 1.8610−1 × 10 −8 −4 CalciumCalcium hydroxide hydroxide 1.08 ± 1.080.23 ± 0.23 2211 2211 C 5.65.6 × 10× −108 7.80 × 7.8010−4 × 10 Inert sand 256 2664 B 2.9 × 10−1 1.17 × 101 Inert sand 256 2664 B 2.9 × 10−1 1.17 × 101
Figure 6. Particle mixing strategy based on the Geldart classification. Figure 6. Particle mixing strategy based on the Geldart classification. The fluidized bed was first loaded with 500 g group C particles. The initial static bed height was The300 fluidized ± 5 mm for bed the was case first of calcium loaded hydroxide. with 500 On g groupthe other C particles.hand, it was The 225 initial ± 3 mm static for the bed bed height of was 300 ± 5activated mm for carbon. the case of calcium hydroxide. On the other hand, it was 225 ± 3 mm for the bed of activated carbon. 3. Results and Discussion 3. Results andFirst, Discussion we considered the fluidization of the calcium hydroxide by carrying out two runs, as shown in Figure 7. A linear increase in the pressure drop at small velocities was initially observed, First,owing we to considered the fixed bed the mode fluidization of contacting of the between calcium the hydroxide two phases. by However, carrying as out the twovelocity runs, was as shown in Figure7. A linear increase in the pressure drop at small velocities was initially observed, owing to the fixed bed mode of contacting between the two phases. However, as the velocity was increased further, a prominent initial depression in the pressure drop profile before an increase sometimes existed. However, above 3 mm/s, the pressure drop tended to decrease with increased velocity. Moreover, the pressure drop profiles of the two runs had a significant difference, which can be attributed to bed non-homogeneities. Evidently, Run 2 showed better fluidization hydrodynamics as compared Appl. Sci. 2018, 8, 1469 7 of 13 with Run 1 because the fluidization carried out during Run 1 tended to partially eliminate the bed non-homogeneities. Therefore, Run 2 revealed improved fluidization behavior. Appl. Sci. 2018, 8, x FOR PEER REVIEW 7 of 13 The pressure drop in the initial portion of the pressure drop profile can be correlated with the Ergunincreased equation further, to compute a prominent the initial effective depression hydrodynamic in the pressure diameter drop profile of the before resident an solidincrease particles. The Ergunsometimes equation existed. is given However, as: above 3 mm/s, the pressure drop tended to decrease with increased velocity. Moreover, the pressure drop profiles of the two runs had a significant difference, which can be attributed to bed non-homogeneities. Evidently,2 Run 2 showed2 better fluidization hydrodynamics 150µUo∆L (1 − ε) 1.75ρ f Uo ∆L (1 − ε) as compared with Run 1= because the fluidization +carried out during Run 1 tended to partially ∆p 2 3 3 (2) eliminate the bed non-homogeneities.dp Therefore,ε Run 2 revealeddp improvedε fluidization behavior. The pressure drop in the initial portion of the pressure drop profile can be correlated with the where ∆Ergunp is the equation pressure to compute drop acrossthe effective the bed hydrodynamic length ∆L diameter, and Uo ofis the the reside superficialnt solid particles. velocity The of the gas throughErgun the bed. equation For smallis given velocities as: (laminar regime), the above equation yields a linear relationship between the pressure drop and the velocity. Therefore: 150 ∆ 1− 1.75 ∆ 1− ∆ = + (2) 150µ∆L (1 − ε)2 where ∆ is the pressure drop across∆p the= bed length ∆ , and U o is the superficial velocity of the gas (3) d2 ε3 through the bed. For small velocities (laminar regimep ), the above equation yields a linear relationship between the pressure drop and the velocity. Therefore: The initial linear part of the pressure-drop profile in Figure7 was used to compute the effective 150 ∆ 1− hydrodynamic diameter by evaluating the∆ mean= of both runs and with fitting Equation (3).(3) It is clear from Figure7 that the following equation: The initial linear part of the pressure-drop profile in Figure 7 was used to compute the effective hydrodynamic diameter by evaluating the mean of both runs3 and with fitting Equation (3). It is clear ∆p = 3670.4 × 10 Uo (4) from Figure 7 that the following equation: