Open access peer-reviewed chapter

Comparison and Analysis of Diffusion Models for the Fe2B Layers Formed on the AISI 12L14 Steel by Using Powder-Pack Technique

By Martín Ortiz Domínguez

Submitted: December 23rd 2018Reviewed: January 30th 2019Published: September 11th 2019

DOI: 10.5772/intechopen.84846

Downloaded: 61


Boriding is a thermochemical surface treatment, a diffusion process similar to carburizing and nitriding in that boron is diffused into a metal base. An indispensable tool to choose the suitable process parameters for obtaining boride layer of an adequate thickness is the modeling of the boriding kinetics. Moreover, the simulation of the growth kinetics of boride layers has gained great interest in the recent years. In this chapter, the AISI 12L14 steel was pack-borided in the temperature range of 1123–1273 K for treatment times between 2 and 8 h. A parabolic law for the kinetics of growth of Fe2B layers formed on the surface of AISI 12L14 steel was deducted. Two diffusion models were proposed for estimating the boron diffusion coefficients through the Fe2B layers. The measurements of the thickness (Fe2B), for different temperature of boriding, were used for calculations. As a result, the boron activation energy for the AISI 12L14 steel was estimated as 165.0 kJ/mol. In addition, to extend the validity of the present models, two additional boriding conditions were done. The Fe2B layers grown on AISI 12L14 steel were characterized by use of the following experimental techniques: X-ray diffraction, scanning electron microscopy and energy dispersive X-ray spectroscopy.


  • diffusion model
  • activation energy
  • parabolic growth law
  • diffusion coefficient
  • growth kinetics

1. Introduction

Surface hardening of steel can be achieved, mainly through two procedures: modifying the chemical composition of the surface by diffusion of some chemical element (carbon, nitrogen, boron, sulfur, etc.) in which case it is known as thermochemical treatment (Table 1) or modifying only the microstructure of the surface by thermal treatment, then known as surface treatment. The current technological demands highlight the need to have metallic materials with high performance under critical service conditions, consequently, the increase in the wear resistance, preserving its ductility and the toughness of the core.

According to Table 1, there are three methods of surface hardening:

  • Diffusion process that modifies the chemical composition where a component in a solid mixture can diffuse through another at a speed is measurable, if there is a suitable concentration gradient and the temperature is high enough. The effects of diffusion in solids are very important in metallurgy (increase surface hardness) as well: The continuous flux of carbon, nitrogen, boron, and so on, can form a hard coating, where the mass transfer is described by Fick’s laws.

  • Applied energy process, the interesting about these processes is that it is not necessary to incorporate any element to the substrate. For example, tempering is a heat treatment in which steel is heated up to austenization temperatures and subsequently it is cooled rapidly, with in order to obtain a transformation that provides a structure martensitic hard and resistant. Surface tempering is generally used to components that need a hard surface and a substrate with a high value of fracture toughness.

  • Coating and surface hardness, the coating covers the surface of the substrate, obtained after the deposition process, substrates considerably increase the physical characteristics of hardness and corrosion resistance, maintaining the original morphological characteristics (roughness and brilliance) unchanged, making the functional and decorative coating at the same time.

The current technological requirements highlight the need to have metallic materials with specific characteristics, for increasingly critical service conditions. For example, the metal dies used in the metallurgical processes of cold working and hot metals need a high toughness and surface hardness, especially at high temperature. Surface hardening of steel can be achieved, basically, by two processes: modifying the chemical composition of the surface by diffusion of some chemical elements (carbon, nitrogen, sulfur, boron, aluminum, zinc, chromium, and so on). Only boriding process for surface hardening is briefly reviewed in this chapter, boriding is a thermochemical treatment in which boron atoms are diffused into the surface of a workpiece and form borides with the base metal. Apart from constructional materials, which meet these high demands, processes have been developed which have a positive effect on the tribological applications including abrasive, adhesive, fatigue and corrosion wear of the component surface [1, 2, 3]. Boride layers are of particular benefit when the components have to withstand abrasive wear. The fundamental advantage of the borided layers (FeB and Fe2B) is that they can reach high hardness near the surface (1800 HV0.1 and 2000 HV0.1), maintained at high temperatures [4, 5, 6, 7, 8]. In this chapter, the growth kinetics of single phase layer (Fe2B) on the ferrous substrate was studied during the iron powder-pack boriding (steady state and non-steady state). The parabolic growth law for the borided layers was mathematically estimated. Likewise, a mass balance equation was proposed at the Fe2B/substrate (AISI 12L14) interface. Moreover, the boron diffusion coefficients (DFe2B) in the Fe2B layers were determined considering two mathematical models for mass transfer. The Fe2B layers formed on the alloy surface is controlled by the diffusion of boron atoms, and the presence of the Fe2B layers was checked by the XRD technique. Finally, the distribution of the alloy elements in AISI 12L14 borided steel was verified by chemical microanalysis technique (EDS) used in conjunction with SEM.

1.1 The diffusion models

One of the most important parameters that characterizes the Fe2B layers is the thickness, since the properties of the coating depend on it, such as: resistance to wear, fatigue, hardness, and dynamic loads, as well as to a large extent determining the grip with the substrate. Having an expression that allow estimating the layer thickness during the boriding process, facilitates the appropriate selection of the technological parameters, in order to guarantee the desired properties. The layer thickness exhibits a time dependence such that:

layer thicknessvt1/2,E1

1.1.1 Derivation of the parabolic growth law

In diffusion processes, parabolic kinetics occurs when the mass gain on a sample is proportional to the square root of time. In general, parabolic kinetics indicates that diffusion of reactants (such as boron) through a growing layer is rate-determining. If the diffusion of B atoms is rate-determining, the layer rate is proportional to the flux through the substrate:


El flux, JFe2Bxt, can be written as


where CFe2Bxtis the boron concentration profile in mol/m3 and is the velocity dx/dtof Fe2B layer in m/s, JFe2Bxtgiving units of mol/m2 s. The velocity of a particle is proportional to the force, F, on the particle:


where BFe2Bis the mobility of the boron. Writing the chemical potential as μFe2B, this force is written as


for a Fe2B layer with thickness x. Combining Eq. (4) and (5) yields


from the relationship


where kBis the Boltzmann’s constant, we can write


In an ideal system, the concentration, CFe2Bxt, is equivalent to activity, aFe2Bxt. Substituting the Eq. (8) into Eq. (6), we get


As shown in Eq. (2),


so that a combination of Eqs. (2) and (9) gives


If we assume that the potential is fixed at each boundary of the Fe2B layer, we can replace CFe2Bxt/xin Eq. (11) with the slope (=ΔCFe2B/x). We then introduce the parabolic growth constant kFe2B, and set:


Combining Eqs. (11) and (12) then gives


Eq. (13) can be rewritten as


Upon integration of Eq. (14),


We arrive at the parabolic growth law:


1.1.2 Steady state diffusion model

Steady state means that there will not be any change in the composition profile with time. A linear boron concentration profile is considered along the depth of the Fe2B layer as depicted in Figure 1. The f(x) represents to the boron distribution in the substrate before the nucleation of iron boride layers on AISI 12L14 steel. t0Fe2Bis the boride incubation time indispensable to form the Fe2B phase. Moreover, CupFe2Brepresents the boron concentration on the surface in Fe2B layer (=60×103molm3), ClowFe2Brepresents the boron concentration at the Fe2B/substrate interface (=59.8×103molm3) and xt=t=vis the layer thickness of the boride layer (m) [9, 10].

Figure 1.

A schematic linear concentration profile of boron through the Fe2B layer is used to describe the steady state diffusion model.

The term CadsBis the effective adsorbed boron concentration during the boriding process [11]. From Figure 1, a1=CupFe2BClowFe2Bdefines the homogeneity range of the Fe2B layer, a2=ClowFe2BC0represents the range of miscibility and C0 is the boron concentration in the substrate (AISI 12L14) assumed as null [10, 12, 13]. During the establishment of the steady-state diffusion model, a linear concentration-profile of boron along the Fe2B layer is considered. Likewise, the assumptions proposed by Campos-Silva et al. [8], are taken account.

v0 is the first boride layer formed on the surface of the substrate (ASI 12 L14) during the boride incubation time [14], its thickness is very small in magnitude compared to the thickness of the boride layer (v). Moreover, regarded the mass balance equation at the growth interface (Fe2B/substrate), which is described as follows [15, 16, 17, 18]:


When the concentration field is independent of time and DFe2Bis independent of CFe2Bxt, Fick’s second law is reduced to Laplace’s equation,


By solving Eq. (18), and applying the boundary conditions proposed in Figure 1, the distribution of boron concentration in Fe2B is expressed as:


By substituting the derivative of Eq. (19) with respect of the distance x(t) into Eq. (17), we have


for 0xv.

By substituting Eq. (16) into Eq. (20)


1.1.3 Non-steady state diffusion model in one dimension

The general diffusion equation for one-dimensional analysis under non-steady state condition is defined by Fick’s second law. The growth of single phase layer (Fe2B) with one diffusing element (boron) is observed as illustrated in Figure 2.

Figure 2.

A schematic non-linear concentration profile of boron through the Fe2B layer is used to describe the non-steady state diffusion model in on dimension.

The fxtfunction represents the boron distribution in the ferritic matrix before the nucleation of Fe2B phase as a function of time. Likewise, for analysis, the kinetic model is imposing the same restrictions as in the previous model, except the last one, it is replaced by:

  • The concentration-profile of boron is the solution of the Fick’s second law and depends on initial and boundary conditions through the Fe2B zone.

The mass balance equation at the (Fe2B/substrate) interface can be formulated by Eq. (22) as follows:


Fick’s second law, isotropic one-dimensional diffusion, DFe2Bindependent of concentration:


By solving Eq. (23), and applying the boundary conditions proposed in Figure 2, the boron concentration profile in Fe2B is expressed by Eq. (24), if the boron diffusion coefficient (DFe2B) in Fe2B is constant for a particular temperature:


By substituting Eq. (24) into Eq. (22), Eq. (25) is obtained:


for 0xv.

Substituting the expression of the parabolic growth law obtained from Eq. (16) (v=2kFe2Bt) into Eq. (25), we have


The diffusion coefficient (DFe2B) can be estimated numerically by the Newton–Raphson method. It is assumed that expressions CupFe2B, ClowFe2B, and C0, do not depend significantly on temperature (in the considered temperature range) [10].

1.2 Materials and methods

1.2.1 Powder pack boriding process

AISI 12L14 steel was used for investigation. It had a nominal chemical composition of 0.10–0.15% C, 0.040–0.090% P, 0.15–0.35% Pb, 0.80–1.20% Mn, 0.25–0.35% S, 0.10% Si. The typical applications are: brake hose ends, pulleys, disc brake pistons, wheel nuts and inserts, control linkages, gear box components (case hardened), domestic garbage bin axles, concrete anchors, padlock shackles, hydraulic fittings, vice jaws (case hardened). The samples were sectioned into cubes with dimensions of 10 mm × 10 mm × 10 mm. Prior to the boriding process, the samples were polished with SiC sandpaper up 2500 grade, ultrasonically cleaned in an alcohol solution and deionized water for 15 min at room temperature, and dried and stored under clean-room conditions. The mean hardness was 237 HV. The samples were embedded in a closed cylindrical case (AISI 316L) as shown in Figure 3, using Ekabor 2 as a boron-rich agent.

Figure 3.

Schematic view of the stainless steel AISI 304L container for the pack-powder boriding treatment (1: lid; 2: powder boriding medium (B4C + KBF4 + SiC); 3: sample; 4: container) (millimeter scale).

The powder-pack boriding process was performed in a conventional furnace under a pure argon atmosphere. It is important to note that oxygen-bearing compounds adversely affect the boriding process [1]. The thermochemical treatment was performed at temperatures of 1123, 1173, 1223, and 1273 K with 2, 4, 6 and 8 h of exposure time. When the boriding process was concluded, the steel container was removed from the heating furnace and placed in a room temperature.

1.2.2 Characterization of boride layers

The borided samples were prepared metallographically for their characterization using GX51 Olympus equipment. As a result of preliminary experiments it was estimated that boriding started at approximately t0Fe2B=29.55minafter transferring the sample to the furnace; after that, the so-called boride incubation time sets in. The borided and etched samples were cross-sectioned, for microstructural investigations, to be observed by scanning electron microscope. The equipment used was the Quanta 3D FEG-FEI JSM7800-JOEL. Figure 4 shows the cross-sections of boride layers formed on the surfaces of AISI 12L14 steel at different exposure times (2, 4, 6 and 8 h) and for 1173 K of boriding temperature.

Figure 4.

SEM micrographs of the cross-sections of AISI 12L14 steel samples borided at 1173 K during different exposure times: (a) 2, (b) 4, (c) 6, and (d) 8 h.

The resultant microstructure of Fe2B layers appears to be very dense and homogenous, exhibiting a sawtooth morphology where the boride needles with different lengths penetrate into the substrate [19, 20]. These elements tend to concentrate in the tips of boride layers, reducing the boron flux in this zone. The Fe2B crystals preferably grow along the crystallographic direction [0 0 1], because it is the easiest path for the diffusion of boron in the body-centered tetragonal lattice of the Fe2B phase [19].

It is seen that the thickness of Fe2B layer increased with an increase of the boriding temperature (Figure 4) since the boriding kinetics is influenced by the treatment time. To estimate the boride layer thickness, 50 measurements were made from the surface to the long boride teeth in different sections, as shown in Figure 5; the boride layer thickness was measured using specialized software [20, 21, 22].

Figure 5.

Schematic diagram illustrating the procedure for estimation of boride layer thickness in AISI 12L14 steel.

The identification of phases was carried out on the top surface of borided sample by an X-ray diffraction (XRD) equipment (Equinox 2000) using CoKαradiation of 0.179 nm wavelength. In addition, the elemental distribution of the transition elements within the cross-section of boride layer was determined by electron dispersive spectroscopy (EDS) equipment (Quanta 3D FEG-FEI JSM7800-JOEL) from the surface.

1.3 Results and discussions

1.3.1 SEM observations and EDS analysis

The metallography of coating/substrate formed in AISI 12L14 borided steel at different exposure times (2, 4, 6 and 8 h) and for 1173 K of boriding temperature are shown in Figure 4. The EDS analysis obtained by SEM is shown in Figure 6(a) and (b).

Figure 6.

A SEM micrographs of the cross-sections of the borided AISI 12L14 steel micrograph image of microstructure of the AISI 12L14 boride layer obtained at 1173 K with exposure time of 8 h, (a) and (b) EDS spectrum of borided sample.

Figure 7.

XRD patterns obtained at the surface of borided AISI 12L14 steels for two boriding conditions: (a) 1123 K for 2 h and (b) 1273 K for 8 h.

The results show in Figure 6(a) that the sulfur can be dissolve in the Fe2B phase, in fact, the atomic radiuses of S (= 0.088 nm) is smaller than that of Fe (= 0.156 nm), and it can then be expected that S dissolved on the Fe sublattice of the borides. In Figure 6(b), the resulting EDS analyses spectrums revealed that the manganese, carbon and silicon do not dissolve significantly over the Fe2B phase and they do not diffuse through the boride layer, being displaced to the diffusion zone, and forms together with boron, solid solutions [10, 23, 24]. On boriding carbon is driven ahead of the boride layer and, together with boron, it forms borocementite, Fe3(B, C) as a separate layer between Fe2B and the matrix with about 4 mass% B corresponding to Fe3(B0.67C0.33) [10]. Thus, part of the boron supplied is used for the formation of borocementite. Likewise, silicon forming together with boron, solid solutions like silicoborides (FeSi0.4B0.6 and Fe5SiB2) [24].

1.3.2 X-ray diffraction analysis

Figure 7 shows the XRD pattern recorded on the surface of borided AISI 12L14 steel at a temperatures of: 1123 K for a treatment time of 2 h, and 1273 K for a treatment time of 8 h. The patterns of X-ray diffraction (see Figure 7) show the presence of Fe2B phase which is well compacted. Likewise, the patters show that there is a preferential orientation in the crystallographic plane (0 0 2) whose strength increases as the depth of the analysis increases. In a study by Martini et al. [18], the growth of the iron borides (Fe2B) near at the Fe2B/substrate interface only shows the diffraction peak of Fe2B in the crystallographic plane (002).

1.3.3 Estimation of boron activation energy with steady state model

The growth kinetics of Fe2B layers formed on the AISI 12L14 steel was used to estimate the boron diffusion coefficient through the Fe2B layers by applying the suggested steady state diffusion model. In Figure 8 is plotted the time dependence of the squared value of Fe2B layer thickness for different temperatures.

Figure 8.

Averaged squares of the Fe2B layers (v2) vs. boriding time (t) at different temperature.

In Figure 8, the square of boride layer thicknesses were plotted vs. the treatment time, the slopes of each of the straight lines provide the values of the parabolic growth constants =2kFe2B. In addition, to determinate the boride incubation time, was necessary extrapolating the straight lines to a null boride layer thickness (see Figure 8). Table 2 provides the estimated value of growth constants in Fe2B at each temperature. The results, which are summarized in Table 2, reflect a diffusion-controlled growth of the boride layers.

Diffusion methodsApplied energy methodsCoating and surface modification
Thermal diffusion process
Flame hardening
Induction hardening
Laser beam hardening
Electron beam hardening
Hard chromium planting
Electroless nickel plating
Thermal spraying
Weld hardfacing
Chemical vapor deposition
Physical vapor deposition
Ion implantation
Laser surface processing

Table 1.

Engineering methods for surface hardening of steels.

Temperature (K)Type of layerGrowth constants 2kFe2B(m2 s−1)DFe2B=12CupFe2B+ClowFe2B2C0CupFe2BClowFe2BkFe2BEq. (21) (m2 s−1)
1123Fe2B2.91 × 10−135.13 × 10−11
11736.12 × 10−131.08 × 10−10
12231.291 × 10−122.27 × 10−10
12732.29 × 10−124.04 × 10−10

Table 2.

The growth constants and boron diffusion coefficients as a function of boriding temperature.

In Table 2, the boron diffusion coefficient in the Fe2B layers (DFe2B) was estimated for each boriding temperature. So, an Arrhenius equation relating the boron diffusion coefficient to the boriding temperature can be adopted.

As a consequence, the boron activation energy (QFe2B) and pre-exponential factor (D0) can be calculated from the slopes and intercepts of the straight line shown in coordinate system: lnDFe2Bas a function of reciprocal boriding temperature, it is presented in Figure 9. The boron diffusion coefficient through Fe2B layers was deducted by steady state diffusion model as:


where: R=8.3144621Jmol1K1and T absolute temperature [K]. From the Eq. (27), the pre-exponential factor D0=2.444×103m2/sand the activation energy QFe2B=165.0329kJmol1values are affected by the contact surface between the boriding medium and the substrate, as well as the chemical composition of the substrate [9, 10, 23, 24, 25, 26, 27, 28].

Figure 9.

Arrhenius relationship for boron diffusion coefficient ( D Fe 2 B ) through the Fe2B layer obtained with the steady state diffusion model.

1.3.4 Estimation of boron activation energy with non-steady state diffusion model

In Table 2 provides the growth constants (2kFe2B) at each temperature, and in Table 3 provides the boron diffusion coefficients (DFe2B), they were estimated numerically by the Newton-Raphson method from the Eq. (26).

Temperature (K)Type of layerCupFe2B+ClowFe2B2C042kFe2B1/2=DFe2BπCupFe2BClowFe2BerfkFe2B2DFe2BexpkFe2B2DFe2BEq. (26) (m2 s−1)
1123Fe2B4.362 × 10−11
11739.174 × 10−11
12231.933 × 10−10
12733.433 × 10−10

Table 3.

The boron diffusion coefficients (DFe2B) as a function of boriding temperature.

The boron activation energy QFe2B=164.999kJmol1and pre-exponential factor D0=2.072×103m2/scan be calculated from the slopes and intercepts of the straight line shown in coordinate system: lnDFe2Bas a function of reciprocal boriding temperature, it is presented in Figure 10, in the same way as above.

Figure 10.

Arrhenius relationship for boron diffusion coefficient ( D Fe 2 B ) through the Fe2B layer obtained with the non-steady state diffusion model in on dimension.

The boron diffusion coefficient through Fe2B layers was deducted by non-steady state diffusion model as:


1.3.5 The two diffusion models

In this section we want to illustrate the differences between the two diffusion models have been used to describe the growth kinetics of boride layers. It is noticed that the estimated values of boron activation energy QFe2B=165.0kJmol1for AISI 12L14 steel by steady state (see Eq. (27)) and non-steady state (see Eq. (28)), is exactly the same value for both diffusion models. Likewise, the estimated values of pre-exponential factor by steady state D0=2.444×103m2/sand non-steady state D0=2.072×103m2/s, there is a small variation. To find out how this similarity is possible in the diffusion coefficients obtained by two different models, we first focus our attention on Eq. (23). The error function erfkFe2B/2DFe2Bis a monotonically increasing odd function of kFe2B/2DFe2B. Its Maclaurin series (for small kFe2B/2DFe2B) is given by [29]:


According to the numerical value of the kFe2B/2DFe2B, Eq. (29) can be rewritten as:


Similarly for the real exponential function expkFe2B/2DFe2B:RRcan be characterized in a variety of equivalent ways. Most commonly, it is defined by the following power series [30]:


Thus, Eq. (31) can be written as:


By substituting the Eqs. (30) and (32) into Eq. (26), we have


The result obtained by Eq. (34) is the same as that obtained in Eq. (21) estimated by steady state diffusion model. The result from the Eq. (21) would appear to imply that the non-steady state diffusion model is superior to the steady state diffusion model and so should always be used. However, in many interesting cases the models are equivalent.

1.4 Fe2B layer’s thicknesses

The estimation of the Fe2B layers’ thicknesses can be determined through the Eqs. (35) and (36).

  • Steady state diffusion model

  • Non-steady state diffusion model


Hence, Eqs. (35) and (36) can be used to estimate the optimum boride layer thicknesses for different borided ferrous materials.

2. Conclusions

The following conclusions can be drawn from the present study:

  • Two simple kinetic models were proposed for estimating the boron diffusion coefficient in Fe2B (steady state and non-steady state).

  • A value of activation energy for AISI 12L14 steel was estimated as 165.0 kJ mol−1.

  • Two useful equations were derived for predicting the Fe2B layer thickness as a function of boriding parameters (time and temperature).

Finally, these diffusion models are in general not identical, but are equivalent models, and this fact can be used as a tool to optimize the boriding parameters to produce boride layers with sufficient thicknesses that meet the requirements during service life.


The work described in this paper was supported by a grant of National Council of Science and Technology (CONACyT) and PRODEP México.

Conflict of interest

The author declares that there is no conflict of interests regarding the publication of this paper.



boride layer thickness (m).


is a thin layer with a thickness of ≈ 5 nm that formed during the nucleation stage.


rate constant in the Fe2B phase (m2/s).


effective growth time of the Fe2B layer (s).


treatment time (s).


boride incubation time (s).


upper limit of boron content in Fe2B (= 60 × 103 mol/m3).


lower limit of boron content in Fe2B (= 59.8 × 103 mol/m3).


terminal solubility of the interstitial solute (≈ 0 mol/m3).


boron concentration profile (≈0 mol/m3).


boron diffusion coefficient (m2/s).

© 2019 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Martín Ortiz Domínguez (September 11th 2019). Comparison and Analysis of Diffusion Models for the Fe<sub>2</sub>B Layers Formed on the AISI 12L14 Steel by Using Powder-Pack Technique, Heat and Mass Transfer - Advances in Science and Technology Applications, Alfredo Iranzo, IntechOpen, DOI: 10.5772/intechopen.84846. Available from:

chapter statistics

61total 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

Mean Aspects Controlling Supercritical CO2 Precipitation Processes

By Antonio Montes, Clara Pereyra and Enrique J. Martínez de la Ossa

Related Book

Frontiers in Guided Wave Optics and Optoelectronics

Edited by Bishnu Pal

First chapter

Frontiers in Guided Wave Optics and Optoelectronics

By Bishnu Pal

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