Open access peer-reviewed chapter


By Jose Ignacio Huertas

Submitted: July 7th 2015Reviewed: November 19th 2015Published: March 16th 2016

DOI: 10.5772/62017

Downloaded: 505

1. Appendix A

1.1. Heating Effects

The aim of this appendix is to study the heat transfer process occurring during condensation. The motivation for such study comes from the uncertainty in the applicability of the growth laws to the case of a supersaturated vapor condensing over very small particles. These growth laws obtained assuming constant temperature. However, when condensation takes place at very high rates, the latent heat released may increase the temperature of the particle by several degrees. Then, considering that

  • the rate of condensation is proportional to the net difference in partial pressure of the condensing material in the environment and at the surface of the particle (P-Pp);

  • the partial pressure at the surface of the particle is equal to the saturation pressure of the vapor (Pp= Ps), when the Kelvin effect is neglected; and

  • the saturation pressure has a very strong dependence with temperature (Ps = a*Tn, where a and n are constants, n~11 for NaCl),

it can be concluded that any small change in particle temperature could affect the rate of particle growth substantially. Dealing with condensation in the CR, it is common to argue that the increase in temperature is negligible and then the respective growth laws can be used directly. However, the situation could be very different in the FMR.

A heat transfer model has been developed to evaluate the extent of particle heating during the process of condensation in both the CR and FMR.

The system is a uniform liquid phase spherical droplet embedded in a supersaturated vapor. The initial conditions are same temperature for particle and vapor, and particle size slightly greater than the critical size for condensation.

Since the vapor concentration profile near the particle approaches a steady-state condition before appreciable growth occurs, the steady-state diffusional flux may be used to calculate the particle growth rate. As growth proceeds hundreds of times slower than diffusion, the profile near the particle remains close to its steady-state value at all times, whereas the transient region propagates farther from the particle.


Table 1.

Characteristic times for a Ti/NaCl/Ar aerosol at 1100°C.

τHT = r2p Characteristic heat transfer time inside of the particle

τD = r2/D Characteristic diffusion time of NaCl vapor in Ar

An energy balance describes the effects of latent heat release by condensation at the particle surface. Heat conduction occurs toward both the particle interior and the exterior gas phase. The ratio of the characteristic times for conduction within the droplet and the characteristic time for heat transfer in the gas phase is known as the Biot number, which can also can be interpreted as the ratio of the respective thermal resistances. The Biot number provides a measure of the temperature drop in the droplet relative to the temperature difference between the droplet surface and the gas phase:


where h is the convective heat transfer coefficient, and kp is the thermal conductivity of the particle. Table l shows values for the characteristic time for conduction within the droplet and the Biot number for several conditions of supersaturation. Table l shows that the Biot number is of the order of O.O1 for the NaCl droplet in Ar at high temperatures (T~1100°C).

For Bi << 1 the resistance to conduction within the solid is much less than the resistance to convection across the fluid boundary layer. Hence, it can be assumed that the temperature within the so1id is uniform at any given time.

Heat Transfer in the CR

With this assumption, the energy conservation equation for the liquid droplet system can be expressed as:

ρHvM dvdt= ρvCpM dTdt+hA(TT)E2

where ρ is the particle density, Hv is the latent heat of condensation, υ is the volume of the particle, Cp is the heat capacity of the particle, M is the molecular weight of NaCl, h is the convective heat transfer coefficient, and A is the particle surface area.

The term on the left of Equation (2) represents the latent heat released during condensation; The first term on the right represents the energy absorbed by the particle in increasing its temperature, and the second term represents the energy dissipated by convection.

For convective heat transfer of a single sphere with a stagnant environment, the Nusselt number is equal to 2, (Nu = 2). Hence, the convective heat transfer coefficient h is equal to the thermal conductivity of the gas (Kg), divided by the radii of the sphere h=Kg/r.

Nondimensionalizing partic1e size as η=r/r*, where r* is critical size for condensation; temperature as Ψ= (T-T∞) / ζ where ζ=3Hv/Cp; and time as τ=t/τcond, the energy equation reduces to:


where the parameter ξCRis given by:

ξCR=3MKg τcondρCpr*2E4

The rate of growth equation for condensation in the CR in its nondimensional form is reprinted here for the reader’s convenience:

dηdτ=1Ln(S)1η (1S1η1)E5

The energy equation and the growth rate equation need to be solved numerically, subject to the initial conditions Ψ = 0 and η = 1.00001.

The first and simplest approach to evaluate the increase in particle temperature during condensation is to assume that the vapor concentration at the surface of the particle is un influenced by the change in the particle temperature. Results obtained through this assumption are the upper limit of the real situation. Then, if the increase in temperature is minimum δT<< 1, the model would prove that the assumption of constant temperature is a good assumption. If that is not the case, the temperature dependence of vapor phase concentration at the surface of the particle needs to be included.

Equations (3) and (5) were solved numerically for different values of the parameter ξCR, assuming that the rate of condensation is uninfluenced by the increase in particle temperature. The actual increase in particle temperature is determined by the parameter ξCR and ζ. 1/ζ is the fraction of the energy released that is used to increase the particle temperature, while ξCR is the ratio of the energy dissipated by conduction and the energy required to increase particle temperature. Higher values of ξCR means that more energy can be dissipated per degree of particle temperature increased, and therefore lower δTs for the same rate of energy release.

For NaCl at 1100°C, ζ=7650.1. Table 2 shows typical values for ξCR. For these values, Figure 1 shows the increase in particle temperature during NaCl condensation in the CR. Figure 1 shows that particle heating is a function of particle size. These can be explained as follows: At any given time, a gradient of temperature δT = Tp-T is established such that the rate of energy dissipation by convection, which is proportional to δT, balances the rate of heat release. The rate of heat release is proportional to the rate of condensation. In the CR, the rate of condensation is a function of particle size. Consequently, temperature increase in the CR is a function of particle size.

Figure 1.

Increase in particle temperature during NaCl condensation in the CR for different values of S assuming that the rate of condensation is uninfluenced by the increase in particle temperature.

Table 2 shows the increase in temperature when the particle has grown 10 times its initial size by condensation. δT is small for S<1.5 and therefore it can be concluded that the assumption of constant temperature during condensation of NaCl in the CR is acceptable for low rates of condensation.


Table 2.

Temperature increase during condensation in the CR. For NaCl particles starting with size r* and ending with 10 times their initial size, assuming that the rate of condensation is unaffected by the increase in particle temperature.

Heat Transfer in the FMR

Particle heating during condensation in the FMR is enhanced because thermal conduction in the FMR is not as good as in the CR. Conduction of heat in the FMR follows very different laws from those obeyed under ordinary circumstances. References 84, 85, 86, and 87 are frequently used references in this respect.

Expressions for thermal conduction from a single sphere toward its environment in stagnant conditions are obtained from the kinetic theory of gases. On it, the area surrounding the particle is divided in two zones. The inner zone is of the width of one mean free path, and transport occurs at collisionless rates. This is known as the Langmuir zone. At larger distances, transport processes involve many collisions and follow the CR description. The heat flux due to conduction across the Langmuir layer is given by [84]:


where A is surface area, q is heat flux, γ = Cp/Cv is the ratio of specific heat capacities, and Kk is an equivalent thermal conductivity as given by the kinetic theory. Equation (6) states that in the FMR, conduction is proportional to the pressure of the gas, and dependent only upon shape but not size of the bounding surfaces.

Replacing the conduction term of Equation (1) by the expression for conduction in the FMR (Equation (6)), the energy balance for condensation in the FMR is:


and the condensation rate in the FMR is:


where the same type of nondimensionalization has been used as for the CR case. Figure 2 shows the numerical solution of Equations (7) and (9) subject to the initial conditions Ψ = O and η = 1.00001. Again it has been assumed that particle heating does not affect the rate of condensation.

Figure 2.

Increase in particle temperature during condensation in the FMR for different values of ξ assuming that the rate of condensation is uninfluenced by the increase in particle temperature.

Figure 3.

Actual particle temperature increase during condensation of NaCl at 1100°C in the FMR. For different saturation ratios, assuming that the rate is uninfluenced by the increase in particle temperature.

Figure 2 shows that the nondimensional temperature reaches a steady-state value Ψ. This steady-state condition is reached when the Kelvin effect ceases and the rate of condensation becomes constant. This behavior can be explained in the following way.

At any time during condensation, a gradient of temperature δT = Tp-T is established such that the rate of energy dissipation, which is proportional to δT, balances the rate of heat release, which is proportional to the rate of condensation. During condensation controlled by the Kelvin effect, the rate of condensation is a function of particle size and then the temperature of the particle is also a function of particle size. However, when the particles grow, the Kelvin effect becomes negligible and the rate of condensation independent of particle size. Consequently, despite further condensation, the particles reach and maintain a constant temperature.

Equation (3) shows the actual increase in particle temperature for several conditions of super saturation of NaCl at 1100°C. It shows that even for low values of S, the increase of particle temperature is substantial. Therefore, a heat transfer analysis that includes the effect of particle heating on the rate of condensation is required.

Saturation pressure can be expressed as Ps = a*Tn, where a and n are constants. Then the saturation ratio can be expressed as S=S(T/T)n,where the subscript ∞ refers to the properties of the aerosol far away from the particle. Properties at ∞ are assumed to be constant.

(T/T)n can be expressed in terms of δT/T=(Tp-T)/T by expanding it in Taylor series and neglecting higher-order terms. The resulting expression is S=S∞*Exp(-n δT/T∞). In terms of the nondimensional variable Ψ and ζ:


Incorporating this expression into the energy and condensation equation, nondimensionalizing in the same fashion as before but with respect to the properties at ∞, the energy and condensation equations become:


Now the condensation equation is coupled to the energy equation and vice versa. Figure 4 shows the results after integrating simultaneously the two equations subject to the initial conditions Ψ = O and η = 1.00001, for ζ/T = 5.57 and the values of ξ corresponding to S = 1.01, 1.125, and 1.5.

Figure 4.

NaCl condensation in the FMR for different values of S including the effect of particle heating in the rate of condensation.

The behavior of the particle temperature is similar to that already described, except that the steady-state temperature is ~4 times less. Table 3 compares the values obtained with and without correction for temperature. It shows that particle heating due to condensation is substantial for higher values of S.

Figure 5.

Effect of particle heating on particle growth.

Figure 5 shows the effect of particle heating on particle growth. It shows that particle growth has the same profile with and without correction for temperature; however, particle heating decreases the rate of growth by a factor of ~4. Then, clearly the effect of particle heating on the rate of condensation in the FMR is important.


Table 3.

Values for condensation in the FMR with correction for particle heating.

m = rate of condensation in the FMR when the Kelvin effect becomes ineffective

w/o = without correction for particle heating

Figure 5 can be used to evaluate particle growth in the FMR for any starting size and a given δt by using:


where ηo-τ is the tabulated universal value for growth due to condensation during τ nondimensional times. Equation (13) is in general not valid because condensation is coupled to the energy equation. Particle growth depends on the particle temperature and in general particles of the same size could have different temperatures.

Figure 6.

Particle temperature and size for the same conditions but different initial size. Particles of the same size have the same temperature.

However, for situations where ζ<<1 and Bi<<l, as in the case of NaCl condensation over nanosize particles, Equation 13 is still valid because a) the amount of energy required to heat up the particle is negligible compared to the energy available (ζ<<l) and b) the rate of particle heating is instantaneous (Bi<<l). Therefore, particles of the same size have the same temperature regardless of how much condensation was received, as long as there has been some condensation. Figure 6 shows this behavior. For the same conditions but different initial size, particle temperature is only a function of particle size.

2. Appendix B

2.1. Sintering

The theory of sintering of solid particles or highly viscous fluids is based in the interaction of two equal-sized spheres. At the contact point of the two spheres, a neck is formed whose size grows with time. For the initial stage, the rate of growth is driven by the curvature gradients in the neck region. At intermediate sintering rates, the curvature gradient diminishes and the surface free energy becomes the driving force for continued sintering. At this stage, the motion is induced by the tendency of the interface to reduce its area in order to minimize the interfacial energy. [88]

For the initial stage of the sintering process, the kinetic model formulated by Frenkel 89 and generalized by German and Muir [88] has shown good agreement with experimental values obtained during sintering studies of various materials. On it, the rate of surface area reduction is given by:


where ais the surface area of the aggregate, afthe surface area of the completely fused single sphere of the same volume, γ is a constant, and τfis the characteristic fusion time. The values of γ and τfdepend on the underlying sintering mechanism. Table 1 shows some of the possible sintering mechanism and values of γ for each of them.

Hiram and Nir [90] developed a numerical solution for the equations of motion describing the coalescence of two particles by the viscous flow mechanism. The results show similar behavior for all particle size to fluid viscosity ratios. The sintering behavior displays three regions of evolution: an initial transitory stage followed by an intermediate pseudo-Frenkel stage. Beyond these two short states, particles assume their spherical shape following a first-order exponential decay.


In this case, the characteristic time for coalescence τfis the time required to reduce 63% the excess agglomerate surface area over that of a spherical particle with the same mass.

Koch and Friedlander [91] assumed that the linear growth rate, Equation (1), holds for the solid-state diffusion mechanism, and obtained an expression for τf. Table 1 shows the type of expressions obtained and some of the expressions used by several authors in the study of gas phase particle synthesis when coalescence is the rate-controlling process. On this type of work, the authors assume that the very small particles grow by single particle collision and almost instantaneously coalesce until they become large enough to exhibit macroscopic viscosity and surface tension.

For the rate of sintering of Ti at T<Tm, it is assumed that the rate of sintering is due to solid-state diffusion. Since information about self-diffusion as a function of temperature is not available for Ti, the respective information for C in HCP Ti has been used [92] as a first approximation. The values obtained are reported in Table 2. The results show that the rate of sintering of Ti is high up to particles of size r~1O nm, but it is a strong function of temperature. The rate of sintering by viscous flow is reported in Table 2 for NaCl. It shows that liquid NaCl particles sinter extremely fast.

MechanismEquation (1)Equation (2)
γδγτfMaterialExpression Used
Viscous1.1±0.12µrfσ89SiO2 936.5x1015 d Exp(8.3x104/T)
Solid-state diffusion
Volume diffusion2.7±0.1B4C 9539 T d3 Exp(53 648/T)
Grain boundary diffusion3.3±0.1TiO2 937.4x108 T d4 Exp(3.1x104/T)
Surface diffusion3.6±0.1

Table 4.

Sintering mechanisms and different expressions for the characteristic time.

T absolute temperature

vparticle volume

D solid-state diffusion coefficient

d particle diameter of the sintered particle

σ surface tension

vm molecular volume

Size r [nm]τsint [µs]
1100°C800 °C
Ti (c)NaCl (l)Ti (c)NaCl (l)

Table 5.

Characteristic time for sintering of Ti particles in crystal phase and NaCl in liquid phase at 1100°C.

3. Appendix C

3.1. Particle Dynamics in a Colloidal System

A colloid is an entity dispersed in a medium, having at least one dimension between 1 nm and 1 μm. The entity may be solid or liquid or, in some cases, even gaseous. A solid colloid dispersed in a liquid medium is known as sol or dispersion. However, the term “colloid” is generally used for the system as a whole.[96, 97]

Particles in a liquid medium possess Brownian motion and therefore eventually collide. The theory of coagulation due to Brownian motion may be applied to the colloidal system to determine how fast the particles collide. The resistance of the liquid phase to the motion of a spherical particle is proportional to the size of the particle and the hydrodynamic nature of the liquid phase. That relation is well known as the Stokes formula:


where μ is the viscosity of the fluid, r is the particle size, and V is the particle velocity. The ratio of the velocity of the particle V to the force causing its motion FM is called mobility (B) of the particle. B is the drift velocity that is attained under unit external force. In some other areas the quantity f=1/B=6πμr. It is more popular and it is known as the Stokes friction coefficient. On the other hand, the diffusivity (D) of a particle of size ri in the liquid medium is given by:

Di= KTfiE18

and the collision frequency function β is given by:


Finally, the collision frequency of the solid particles in the colloidal system is given by:


where Nᵢ is the concentration of particles of size rᵢ. Replacing Equations 1, 2, and 3 in Equation 4, an explicit expression for the frequency of collision can be obtained. Considering a colloidal system, made of two equal-sized particles (r) embedded in a liquid droplet of size R, the characteristic collision time τB=N/Z reduces to:


The characteristic collision time τBfor the colloidal system estimates the average time required for two particles to collide. This definition neglects the enhancing effect in the collision frequency of having the two particles housed within the boundaries of the liquid material. However, it gives a good first estimate. τBis independent of particle size, and is linearly proportional to the volume available for particle motion. For NaCl at 800°C and ll00°C, Table 1 shows typical values for τB.

NaCl droplet Size R [nm]τB [µs]

Table 6.

Characteristic time for collision of 2 Ti cores embedded within a NaCl liquid droplet of size R.

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Jose Ignacio Huertas (March 16th 2016). Appendices, Montecarlo Simulation of Two Component Aerosol Processes, Jose Ignacio Huertas, IntechOpen, DOI: 10.5772/62017. Available from:

chapter statistics

505total chapter downloads

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter


By Jose Ignacio Huertas

Related Book

First chapter

Monte Carlo Statistical Tests for Identity of Theoretical and Empirical Distributions of Experimental Data

By Natalia D. Nikolova, Daniela Toneva-Zheynova, Krasimir Kolev and Kiril Tenekedjiev

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

More about us