Measuring Technologies for CFB Solid Circulation Rate: A Review and Future Perspectives

Solid circulation rate (Gs) represents the mass flux of circulating particles in circulating fluidized bed (CFB) systems and is a significant parameter for the design and operation of CFB reactors. Many measuring technologies for Gs have been proposed, though few of them can be applied in industrial units. This paper presents a comprehensive study on measuring technologies, and the results indicate that though the accumulation method is most widely applied, it is constrained by the disturbance of normal particle circulation. Some publications have proposed mathematic models based on pressure drop or other parameters to establish Gs measurement models; these necessitate the accurate modeling of complicated gas-solid flows in industrial devices. Methods based on certain measurement devices to specify parameters like velocity require device endurance in the industrial operation environment and stable local gas-solid flow. The Gs measuring technologies are strongly influenced by local gas-solid flow states, and the packed bed flow in standpipes make the bottom of standpipes an ideal place to realize Gs measurement.

The Relativistic Boltzmann Equation and Two Times

We discuss a covariant relativistic Boltzmann equation which describes the evolution of a system of particles in spacetime evolving with a universal invariant parameter τ . The observed time t of Einstein and Maxwell, in the presence of interaction, is not necessarily a monotonic function of τ . If t ( τ ) increases with τ , the worldline may be associated with a normal particle, but if it is decreasing in τ , it is observed in the laboratory as an antiparticle. This paper discusses the implications for entropy evolution in this relativistic framework. It is shown that if an ensemble of particles and antiparticles, converge in a region of pair annihilation, the entropy of the antiparticle beam may decreaase in time.

Preparation and Evaluation of Sodium Alginate Microparticles using Pepsin

Aim: The main aim of this article is to prepare and evaluate sodium alginate microparticles and evaluate on the basis of their characterization. The drug is dissolved, encapsulated or attached to a microparticles matrix. Depending upon method of preparation microparticles were obtained. Microparticles were developed as a carrier for vaccines and other disease like rheumatoid arthritis, cancer etc. Microparticles were developed to increase the efficacy of active pharmaceutical ingredient to a specific targeted site. Material and Method: Microparticles of Sodium Alginate, Pepsin and Calcium Chloride were prepared in six batches (A-F) with different ratio of sodium alginate and calcium chloride respectively i.e. (0.25:2.5), (0.25:5), (0.25:7.5), (0.5:2.5), (0.5:5), (0.5:7.5) by using a homogenizing method. Microparticles were evaluated for particle size distribution, zeta potential and morphology. Result and Discussion: The normal particle size of each of the six batches were analyzed by Zeta Sizer (Delsa C Particle Analyzer) and it was found that the Batch B (0.25:5) delivered the best microparticles with size distribution of 1.2731 (µm). All batches were seen under Motic magnifying microscope by using the Sulforhodamine B (M.W. 479.02) color as staining dye. Microparticles was found to be semi spherical in shape. Conclusion: Results of all the six batches was contrasted based on particle size investigation, zeta potential and morphology. Batch B (0.25:5) was considered as the best formulation. Key words: Micro Particle, Pepsin, Sodium Alginate and Calcium Chloride, Sulforhodamine B, Zeta Sizer.

Positive and Negative Particle Masses in the Bicubic Equation Limiting Particle Velocity Formalism

The interest in the negative particle mass here got encouraged by the Rachel Gaal July 2017 APS article (Gaal, 2017)describing Khamehchi et al. (2007) observation of an effective negative mass in a spin-orbit coupled Bose-Einsteincondensate. Hence, since in the bicubic equation limiting particle velocity formalism (Soln, 2014, 2015, 2016, 2017)positive m+ = m ≻ 0 and negative m− = −m ≺ 0 masses with m2+ = m2− = m2 are equally acceptable, then from a purelytheoretical point of view, the evaluation of particle limiting velocities for both m+ and a m− masses should be done.Starting with the original solutions for particle limiting velocities c1; c2 and c3, given basically for a positive particlemass m+ (Soln, 2014, 2015, 2016, 2017), now also are done for a negative particle mass m− This is done consistent withthe bicubic equation mathematics, by solving for c1; c2 and c3 not only form+ but also for m−. Hence, in addition tohaving the limiting velocities of positive mass m+ primary, obscure and normal particles, now one has also the limitingvelocities of negative mass m− primary, obscure and normal particles, however, numerically equal to limiting velocities,respectively of m+ masses obscure, primary and normal particles, forming the m+ and m− masses of equal limiting velocityvalue doublets : c1(m−) = c2(m+), c2(m−) = c1(m+) , c3(m−) = c3(m+). Now, one would like to know as to which particlewith a negative mass m− = −m ≺ 0, obtained from the positive mass m+ = m ≻ 0 with the substitution m − −m, canhave a real limiting velocity? It turns out that it is the obscure particle limiting velocity c2(m+) that changes from theimaginary value, c22(m+) ≺ 0, into the real limiting velocity value c22(m−) ≻ 0 when the change m+ − m− is made and,at the same time, retaining the same energy. Similar procedure applied to the original primary particle limiting velocitystarting with c21(m+) ≻ 0 , keeping the total energy the same,with the change m − −m one ends up with c21(m−) ≺ 0 that is, imaginary c1. The procedure of changing m+ − m− in normal particle limiting velocity causes no change, it remains the same realc3. Because m2 (= m2+ = m2−), E2 and v2 remain the same , these mass regenerations, m+ − m− and m− − m+ could in principle also occur spontaneously.

Limiting Velocities of Primary, Obscure and Normal Particles: Self-Annihilating Obscure Particle as an Example of Dark Matter Particle

From recently established bicubic equation, three particle limiting velocities are derived, primary, c1,obscure, c2 and normal, c3,that in principle may belong to a single particle. The values of limiting velocities are governed by the congruent particle parameter, z = 3\sqrt3mv2=2E, with m; v and E being, respectively, particle mass, velocity and energy, generally satisfying 1 &lt;= z &lt;= 1, and here just 0 &lt;= z &lt;= 1.<br />While c3 is practically the same in value as v, c1 and c2 can depart from v as z changes from 1 to 0, since c1, c2 and c3; are, in forms, explicitly different from each other, which offers the chance to look at possible new forms of matter, such as dark matter. For instance, one finds that c3 could be slightly different from c, the velocity of light, for the 2010 Crab Nebula Flare PeV electron energy region and for the OPERA 17 GeV muon neutrino velocity experiments, while at the same time, although not measurable in these experiments, calculated c1 and jc2j, are numerically about 105 times larger than c3.<br />There is a belief that an exemplary particle of small velocity, v = 10-3c ,and small energy, E = 1eV , but as yet of not known mass, should belong to the dark matter class. Once knowing z the value of the mass is fixed with 3\sqrt3m(z)v2 = 2Ez ,and its maximum value m(1) is at z = 1, m(1) = 2E=(v23\sqrt3):This mass value defines the test particle, with which one calulates primary, obscure and normal particle rest energies at z = 1: Snce at z = 1 theory predicts c21(1) = (3=2) v2;c22<br />(1) = 3v2; c23 (1) = (3=2) v2, the rest energies are m(1) c21(1) = m(1) c23(1) = 0:58eV and m(1)(c22(1))= 1:15eV. The primary and normal particles, with positive kinetic energies self-creation process increase their energies from 0:58eV to desired1eV: The obscure particle, with negative kinetic energy self-annihilation process decreases its energy of 1:15eV to desired 1eV. This makes the obscure (imaginary c2) particle as a good candidate for a dark matter particle,since as it is believed that a trapped dark matter particle with self-annihilation properties helps keeping the equilibrium between capture and annihilation rates in the sun.

Synthesis and Catalytic Activity of Fe-MCM-41 Nanoparticles

Mesostructured Fe-MCM-41 nanoparticles have been hydrothermally prepared for the first time with assistance of binary surfactants (CTAB and F127). The formation of nanoparticles consists of two steps, that is, the hydrolysis of silica precursor via catalysis by an acidic ferric salt, followed by facile assembly into mesostructured nanocomposites with cationic micelles by addition of condensation catalyst. In the hydroxylation of phenol with aqueous H2O2, Fe-MCM-41-NP displayed higher activity than a Fe-MCM-41 sample with normal particle size (Fe-MCM-41-LP).

Flow-induced segregation in confined multicomponent suspensions: effects of particle size and rigidity

The effects of particle size and rigidity on segregation behaviour in confined simple shear flow of binary suspensions of fluid-filled elastic capsules are investigated in a model system that resembles blood. We study this problem with direct simulations as well as with a master equation model that incorporates two key sources of wall-normal particle transport: wall-induced migration and hydrodynamic pair collisions. The simulation results indicate that, in a mixture of large and small particles with equal capillary numbers, the small particles marginate, while the large particles antimarginate in their respective dilute suspensions. Here margination refers to localization of particles near walls, while antimargination refers to the opposite. In a mixture of particles with equal size and unequal capillary number, the stiffer particles marginate while the flexible particles antimarginate. The master equation model traces the origins of the segregation behaviour to the size and rigidity dependence of the wall-induced migration velocity and of the cross-stream particle displacements in various types of collisions. In particular, segregation by rigidity, especially at low volume fractions, is driven in large part by heterogeneous collisions, in which the stiff particle undergoes larger displacement. In contrast, segregation by size is driven mostly by the larger wall-induced migration velocity of larger particles. Additionally, a non-local drift-diffusion equation is derived from the master equation model, which provides further insights into the segregation behaviour.

Breeding Estimated Particle Filter

As the normal particle filter has an expensive computation and degeneracy problem, a propagation-prediction particle filter is proposed. In this scheme, particles after transfer are propagated under the distribution of state noise, and then the produced filial particles are used to predict the corresponding parent particle referring to measurement, in which step the newest measure information is added into estimation. Therefore predicted particle would be closer to the true state, which improves the precision of particle filter. Experiment results have proved the efficiency of the algorithm and the great predominance in little particles case.