Measuring and Modeling the Plasticity of Clays

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Measuring and Modeling the Plasticity of Clays

Fernando Augusto de Andrade; Hazim Ali Al-Qureshi; Dachamir Hotza^*

Núcleo de Pesquisa em Materiais Cerâmicos - CERMAT, Departamentos de Engenharia Mecânica - EMC e Engenharia Química - ENQ, Universidade Federal de Santa Catarina - UFSC, CEP 88040-900, Florianópolis, SC, Brazil

ABSTRACT

The measurement of plasticity in clay bodies is crucial in order to get products free of defects and with less processing time. However, tests which simulate the behavior of the clay during processing and the mathematical modeling of some of its characteristics, particularly the plasticity, become difficult because many variables are involved and there is no consensus on the choice of method to be used. This study aimed to develop a mathematical model based on compression test to evaluate the plasticity of clays. Three types of clays were studied with different levels of moisture and their indices of plasticity were also characterized by the Atterberg's and Pfefferkorn's methods. The experimental data were well fitted by the theoretical curves for a wide range of clay plasticity. Moreover, it was possible to observe a correlation between effective stress of compression and paste moisture within each group of clay.

Keywords: clays, extrusion, plasticity, modeling

1. Introduction

The plasticity in the processing of ceramic materials is a fundamental property since it defines the necessary technical parameters to convert a particulate ceramic body to a component with a given shape by application of pressure.

The plasticity, in this case, and particularly in clay mineral systems, is defined as a property that shows shape changes without rupture when a clay body with added water is submitted to an external force. Furthermore, when the force is removed or reduced below to a value corresponding to the yield stress the shape is maintained¹.

The main factors that affect the clay plasticity, according to Barba et al.² and Händle³, are related to physical characteristics of the solid, particularly the particle size distribution and its specific surface area, the water characteristics (viscosity, surface tension, etc.), the solid mineralogical composition (clay mineral type, proportion of non-plastic minerals, etc.), the dispersion state of the particles that depends on the ionic change capacity and nature and proportion of additives, as well as on the ceramic body temperature. Relevant process-related factors affecting clay plasticity are application of pressure, body temperature and characteristics of additives used⁴.

However, the plasticity determination is not always an easy task since it cannot be immediately applied and interpreted. In fact, there are several methods for measurement and characterization of the plasticity of a clay body, although its experimental determination, in some cases, is operator-dependent, causing difficulties in interpreting the results⁵. Among the methods, the Atterberg's plasticity index, the Pfefferkorn's plasticity index, stress/strain curves, indentation and rheological measurements are the most applied.

The Atterberg's plastic limit is the lowest water content at which the body can be rolled into threads without breaking. The Atterberg's liquid limit is the water content at which the body begins to flow, using a specific apparatus. The difference between both values is called the Atterberg's plasticity index⁶. Alternatively, the Pfefferkorn method determines the amount of water required to achieve a 30% contraction in relation to the initial height of a test body under the action of a standard weight⁷.

As with other types of materials, a compression test can be used to evaluate the plasticity of clays. Baran et al.⁸ formulated their workability concept for clays using compression tests in cylindrical samples, allowing to determine the optimum amount of moisture for each clay studied. Ribeiro et al. ⁵ evaluated the plasticity of extrudable clays by compression tests and found that the measured samples were ruptured at 50-55% deformation. In a typical test curve, a great deal of information is obtained: modulus of elasticity, yield strength, maximum deformation and rupture strength. Those parameters are strongly influenced by the moisture of the clay and its chemical or phase composition.

Clays may present a wide range of plasticity values⁹. Typical values of Atterberg's plasticity index for Kaolinitic clays range from 5 to 22; for ilittic clays, from 39 to 51; and for montmorillonitic clays, up to 600.²

Usually measurements of clay plasticity are undertaken without considering a formal description of this physical behavior through a modeling approach. A model would not only describe the process in a broader and deeper way, but it also might be used for predicting a system's behavior with a lower experimental effort.

In this paper, a mathematical model for evaluation of the plasticity of clay bodies was developed from applied concepts of the plasticity theory by using the stress/strain diagram under compression.

2. Mathematical Modeling of Compression Test

The mathematical knowledge applied to metallic porous materials was used as a basic tool for plasticity modeling of clays¹⁰ taking into account few experimental parameters.

To define the processing parameters, it was assumed that the clay compact, which has a cylindrical shape, deforms axially and symmetrically. When the compressive force is applied, the height of the cylindrical compact decreases and its instantaneous radius increases since the sample is not confined in a die. Considering an infinitesimal volume in cylindrical coordinates (r, θ e z) and the equilibrium of forces¹⁰ (Figure 1) in the radial direction r, it results in Equation 1:

In this model the compressive stress is assumed constant and for the shape of the infinitesimal volume studied, Equation 1 is simplified (Equation 2):

where σ_r is the radial stress; σ_θ, the normal stress; σ_z, the axial stress; and m, the coefficient of friction between plates surfaces of the compression test machine and the clay compact. The coefficient of friction is also considered constant and will be discussed later.

As s_r = f(s_q) and using the Levy-Mises equations¹¹ for the plastic zone, results in de_r = de_q and, consequently, s_r = s_q. By substituting in Equation 2 the Equation 3 is obtained:

By using the Mises criteria¹¹ related to the effective stress in compression σ-of the clay material, the Equation 4 is obtained:

Deriving Equation 4 and substituting it into Equation 3 reduces to Equation 5:

To solve the differential Equation 5, the following boundary conditions are considered (Equations 6 and 7):

where r_f is the final radius of the sample after compaction.

The resulting equation for the instantaneous axial stress as a function of the compaction processing parameters is given by (Equation 8):

Knowing that the axial force in any compression stage is a function of the axial stress and the instantaneous area, it can be directly calculated by the Equation 9:

Finally, from Equations 8 and 9 it is possible to relate the applied pressure to the compact instantaneous radius as well as to different variable types that affect the plasticity of a given ceramic body. Thus, a more accurate approach to obtaining ceramic bodies with optimized plasticity for a given application is expected.

3. Materials and Methods

Three clays supplied by Paraná Mineração (Brazil), called respectively A1, A2 and A3, were selected. Chemical and phase composition were determined, respectively, by X-ray Fluorescence (XRF, Philips PW 2400) and X-ray Diffractometry (XRD, Philips Xpert, Cu Kα).

Tests were performed for each clay to measure Atterberg's liquid limit (LL), according to the NBR 6459¹², and plastic limit (PL), according to the NBR 7180¹³. The preparation of powder samples for both tests followed the NBR 6457¹⁴. Pfefferkorn's plasticity index was determined in a plasticimeter (Servitech CT-283) according to the method described by Amorós et al.⁷. In this work, both measurements were applied to estimate the lower and upper moisture amount to be added to the clay to promote a suitable workability.

For each combination of moisture from the clay-water system, their behavior in a uniaxial compression test was evaluated in order to obtain the data of effective compressive stress and also the coefficient of friction, which were applied to the theoretical model developed.

The clays were disaggregated in a dry ball mill for 25 minutes and then sieved through a mesh of 420 μm. After that, to determine the moisture content in the clays, samples containing 10 g of material were placed in the oven at 110 ± 5 °C for 24 hours.

Three values of moisture in the range between LL and (PL+LL)/2 (obtained from the Atterberg's test) were selected. The respective samples were then prepared and homogenized by hand mixing and then left to settle for 24 hours in a hermetically sealed container for homogenization of moisture. In a later stage, cylindrical specimens were manually prepared in PVC molds with a 17 mm diameter and 23 mm height.

The samples were then subjected to the uniaxial compression test in a texturometer (Stable Micro Systems TA-XT2i), with test speed of 0.1 mm/min and load cell of 25 kgf. The test occurred up to 50% strain. To avoid distortions in the measurements of diameter and height, a millimeter scale was used as a reference, which was positioned next to the test sample during the tests. With a digital camera (Canon SX110), the test was filmed, which was synchronized with the data obtained by the texturometer. Images were obtained every 15 seconds from the film using a software (Windows Movie Maker). The measurement of diameter and height of the specimens was performed using a software of image analysis (ImageTool). Thus it was possible to obtain values of instantaneous radius and height and relate them to the applied force, and the respective values of the effective compressive stress and the coefficient of friction, according to Equation 9.

4. Results and Discussion

4.1. Chemical and phase composition

The results of chemical analysis are presented in Table 1. The quantification of phases, from XRD and XRF data, was made by rational analysis¹⁵ which is shown in Table 2. It can be observed that the main clay mineral present in all three clays is kaolinite. For A3 clay, this corresponds to ~85%, while the content of quartz, which acts as a non-plastic material, corresponds to ~13%. Due to these values, it is expected that this clay develops higher plasticity when compared to clays A1 and A2, which present respectively lower amounts of kaolinite and higher amounts of quartz.

4.2. Atterberg's and Pfefferkorn's plasticity index

The results of tests for determining the Atterberg's (API) and Pfefferkorn's plasticity index (PPI) for the clays are presented in Table 3. For clay A2, it might be noticed that the low API value shows that low variations in moisture may highly affect the plasticity of the clay-water system. PPI, on the other hand, is coherent with Atterberg's, i.e., it is higher for clay A3 and lower for clay A2. A wide variation in plasticity index variation among the clays is observed, which will be useful to investigate the adequacy of the mathematical model in different conditions of plasticity.

4.3. Compression tests results

From the load vs. the displacement data generated by the texturometer, the theoretical curves of force vs. variation in radius (according to Equation 9) were found, which are shown in Figures 2, 3 and 4 for the A1, A2 and A3 clays, respectively. The shape of the curves as well as the range of measured values is comparable to those obtained by Baran et al.⁸ and Ribeiro et al.⁵, although no fitting model was applied in those cases.

It may be noticed that the experimental points are well fitted by the theoretical curves by choosing appropriate values of effective stress and coefficient of friction. These results are shown in Table 4.

It can be observed that the three clays were similar with respect to the tendency of the curve. The curves area characterized by an elastic region, which is related to the rigidity of the mass against the deformation. Furthermore, it is possible to distinguish an elastic limit, where the clay begins to enter the plastic region, that is, if a force is imposed on it, it retains its shape after removal of that force. This would be the region from which the work of conformation has significant effects.

Figure 5 shows a typical sequence of events related to the so-called barreling effect during compression test. This effect is attributed to the attrition between the punch and the clay. To avoid errors associated to the measurement, the radius was estimated from the contact surface between the punch and the compact, and at the intermediate height of the sample. An average value was then calculated from those points.

From the results presented in Table 4, a relationship between the effective stress of compression and the moisture can be observed. In Figure 6 it can be seen that there is a good correlation between these two parameters within the same type of clay. However, there was no correlation between these parameters, when different clays are compared. This can be explained by differences in chemical and phase composition of the clays, which develop different plasticity despite the similar moisture content.

The plasticity measured from compression tests allows that the results obtained by the mathematical modeling may be applied to describe the behavior of a clay during shaping processes such as extrusion¹⁶ or pressing.

5. Conclusions

In this work, the compression test to characterize the plasticity of clay-water systems was applied. This type of test may serve as a complement to Atterberg's and Pfefferkorn's traditional tests, since it allows more precise information, is less operator-dependent in performing the tests and also some characteristics are obtained for the design of the process to which the clays will be submitted.

It was observed that there is a correlation between the effective stress of compression and moisture present in the mass. This condition was valid only within each group of clay, since equal humidity may produce different results in clays with different compositions.

Although the coefficient of friction is a dynamic variable depending on the test and process parameters, in this work it was considered constant, due to the difficulty of its formulation. New studies may be performed to observe if there is a correlation between the phases present in the clays and the coefficient of friction. A quantification of this influence should be included in a further modeling in order to optimize the processing parameters in accordance with the mass formulation.

Acknowledgments

We wish to thank Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for supporting this work.

Received: April 1, 2010

Revised: June 29, 2010

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Publication Dates

• Publication in this collection
  22 Oct 2010
• Date of issue
  Sept 2010

History

• Reviewed
  29 June 2010
• Received
  01 Apr 2010