# In Situ Investigation of the Silicon Carbide Particles Sintering

Authors: Yu Niu; Feng Xu; Xiaofang Hu; Jianhua Zhao; Hong Miao; Xiaoping Wu; Zhong Zhang
Journal: Journal of Nanomaterials
 (2011)

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## Abstract

A real-time observation of the microstructure evolution of irregularly shaped silicon carbide powders during solid state sintering is realized by using synchrotron radiation computerized topography (SR-CT) technique. The process of sintering neck growth and material migration during sintering are clearly distinguished from 2D and 3D reconstructed images. The sintering neck size of the sample is presented for quantitative analysis of the sintering kinetics during solid state sintering. The neck size-time curve is obtained. Compared with traditional sintering theories, the neck growth exponent (7.87) obtained by SR-CT experiment is larger than that of the two-sphere model. Such condition is discussed and shown in terms of sintering neck growth, in which the sintering process slows down when the particle shape is irregular rather than spherical.


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## Body

## 1. Introduction

Silicon carbide ceramic was the earliest forms of artificial abrasives because of its high mechanical strength. Stable chemical properties, high thermal conductivity, thermal expansion coefficient, and other fine performance characteristics have allowed silicon carbide to become widely used in various fields such as coating materials, refractory, and metallurgy [1–3]. Solid state sintering is the key process of preparation of silicon carbide ceramics. Researching the internal microstructure evolution of the sample during the sintering process is important because the microstructure of the material plays a decisive role in macroscopic properties [4–6]. This topic has been extensively investigated since the 1950s [7–9]. Studies on the microstructure improvement of the ceramic materials are meaningful for increasing the production process and improving material properties. However, in the study of solid state sintering, the experimental study of microstructure evolution result has not yet attained a satisfactory level in comparison to theoretical work and numerical simulation. This situation may be attributed to the difficulty of observing the internal microstructure morphology of the sample during the heating process of the solid state sintering in real time. Generally, after solid state sintering, the sample is observed postmortem by scanning electronic microscopy (SEM). Although SEM can provide high resolution photos, this experimental method has eminent shortcomings: (1) cutting and polishing of the samples are bound to damage the original structure; (2) interruption of sintering process and dropping of temperature bring unpredictable impact to the microstructure.Using SR-CT technique, in situ observation of material under action of outside field (e.g., pressure field, temperature field, etc.) becomes possible [10, 11]. For the limitation of experimental skills, only a few scholars have conducted research on solid state sintering process by this method. Vagnon et al. did research on stress varying during solid state sintering process of steel powder compacts by SR-CT [12]. Through this technology, Olmos et al. researched the solid state sintering process of a mixture of metallic powder [13]. Grain evolution of boron carbide powders is observed and discussed in this paper during sintering using SR-CT technique [14].In this paper, the microstructure evolution of silicon carbide powder is investigated in situ by SR-CT technique during the solid sintering process. Using filter back projection arithmetic and digital image processing method, 2D sections and 3D reconstructions of the internal microstructure of samples at different sintering times are carried out. The features of the typical morphology evolution of solid sintering are observed. The size of the sintering neck in each cross-section image is calculated by using watershed algorithm. Neck size-time curve is obtained and compared with existing theories. The linear relationship between neck size logarithm and time logarithm during isothermal sintering is obtained and shown as the neck size-time double logarithm curve, as described in traditional sintering theories. Sintering neck growth exponent is obtained asn=7.87, which is a little bigger than the conclusion of two-sphere model, and the reason is qualitatively analyzed.


## 2. Experiment

### 2.1. Technical Principle

SR-CT technique is a nondestructive testing method by which the specimen passed through by synchrotron radiation X-ray is placed in a rotation, and the projection images of the specimens are received by an X-ray charge-coupled device (CCD). One projection image is collected each time a specimen turns for an angle. After obtaining a set of projection data, reconstruction algorithm is used to obtain the internal microstructure of the sectional images. The 3D images of the microstructure can be obtained from a series of sectional images. Reconstruction algorithms applied in SR-CT technique are mainly filtered by back projection and iterative algorithms. Taking the limited time into account, filtered back projection algorithm is employed in this paper.


### 2.2. Equipment and Experimental Procedure

Silicon carbide powder for this experiment is chemically pure (99.9%). The average diameter is approximately 125μm. The experiment was carried out on the 4W1A beam line at the Beijing Synchrotron Radiation Facility (BSRF), Beijing, China. A schematic of such SR-CT projection imaging facility is given in Figure 1. A wide collimated synchrotron radiation X-ray (up to 14 mm × 10 mm) with energy range from 3 to 24 keV is available. An X-ray with 24 keV selected by silicon single-crystal monochromatic was used in this test. The samples were heated in a sintering furnace specifically designed for SR-CT. This furnace has range of a room temperature to 1600°C, an even temperature region of 2 cm3, and the highest heating rate of 300°C/h. There is a corundum cylinder connecting with a rotation device in the furnace. The MRS102 rotation device, with angle resolution of 0.00125° and repeatable positioning accuracy of 0.005°, was provided by the Beijing Optical Instrument Factory. The samples were introduced on top of the corundum cylinder. The synchrotron radiation X-ray passed through samples and reached an X-ray CCD detector, which recorded the intensity message of X-ray. The CCD including a 1300 × 1030 pixels chip with a unit pixel of 10.9 × 10.9 um2 offered an 8-bit dynamic range. At different sintering times, the sample was imaged at different projection angles (in the range of 0–180°). Typically, 180 shadow images of the sample were acquired. These images were then processed by the filtered back projection algorithm [15, 16].Figure 1
Schematic diagram of SR-CT projection imaging facility 1. X-ray source 2. Sample 3. Sintering furnace 4. Rotation device 5. Antivibration platform 6. Holes 7. Fluorescent target 8. Optical 9.CCD.Temperature is an important parameter in sintering. In order to compare with the conclusion of traditional theory and experiment, an isothermal sintering process was designed for eliminating the influence of temperature change.In this experiment, the sintering temperature reached 1500°C with the highest heating rate. The temperature was held at 1500°C. Temperature-time curve is shown in Figure2.Figure 2
Heating process and record point.


## 2.1. Technical Principle

SR-CT technique is a nondestructive testing method by which the specimen passed through by synchrotron radiation X-ray is placed in a rotation, and the projection images of the specimens are received by an X-ray charge-coupled device (CCD). One projection image is collected each time a specimen turns for an angle. After obtaining a set of projection data, reconstruction algorithm is used to obtain the internal microstructure of the sectional images. The 3D images of the microstructure can be obtained from a series of sectional images. Reconstruction algorithms applied in SR-CT technique are mainly filtered by back projection and iterative algorithms. Taking the limited time into account, filtered back projection algorithm is employed in this paper.


## 2.2. Equipment and Experimental Procedure

Silicon carbide powder for this experiment is chemically pure (99.9%). The average diameter is approximately 125μm. The experiment was carried out on the 4W1A beam line at the Beijing Synchrotron Radiation Facility (BSRF), Beijing, China. A schematic of such SR-CT projection imaging facility is given in Figure 1. A wide collimated synchrotron radiation X-ray (up to 14 mm × 10 mm) with energy range from 3 to 24 keV is available. An X-ray with 24 keV selected by silicon single-crystal monochromatic was used in this test. The samples were heated in a sintering furnace specifically designed for SR-CT. This furnace has range of a room temperature to 1600°C, an even temperature region of 2 cm3, and the highest heating rate of 300°C/h. There is a corundum cylinder connecting with a rotation device in the furnace. The MRS102 rotation device, with angle resolution of 0.00125° and repeatable positioning accuracy of 0.005°, was provided by the Beijing Optical Instrument Factory. The samples were introduced on top of the corundum cylinder. The synchrotron radiation X-ray passed through samples and reached an X-ray CCD detector, which recorded the intensity message of X-ray. The CCD including a 1300 × 1030 pixels chip with a unit pixel of 10.9 × 10.9 um2 offered an 8-bit dynamic range. At different sintering times, the sample was imaged at different projection angles (in the range of 0–180°). Typically, 180 shadow images of the sample were acquired. These images were then processed by the filtered back projection algorithm [15, 16].Figure 1
Schematic diagram of SR-CT projection imaging facility 1. X-ray source 2. Sample 3. Sintering furnace 4. Rotation device 5. Antivibration platform 6. Holes 7. Fluorescent target 8. Optical 9.CCD.Temperature is an important parameter in sintering. In order to compare with the conclusion of traditional theory and experiment, an isothermal sintering process was designed for eliminating the influence of temperature change.In this experiment, the sintering temperature reached 1500°C with the highest heating rate. The temperature was held at 1500°C. Temperature-time curve is shown in Figure2.Figure 2
Heating process and record point.


## 3. Results

A 2D cross-correlation algorithm was used to detect cross-section images at different sintering times. The reconstructed images of the same cross-section at different times are shown in Figure3. Grayscale range is from 0 to 255; the closer to 255, the higher the relative density, which means white represents particles and black represents holes.Figure 3
Reconstructed images of the same cross-section of the sample at different sintering periods.Vertical section and 3D reconstructed images can also be obtained by treating the cross-section images with digital image processing method. For quick identification, a Cartesian coordinate system is considered and shown in Figure4. The plane XOY is defined as the initial cross-section of the reconstructed part of the sample.Sectional view in different directions.
(a)(b)(c)(d)By applying 3D reconstruction algorithm, a series of the cross-section images was assembled to obtain a 3D image and the sections in any position of the sample, as shown in Figure4.Figure5 shows the 3D reconstructed images of the sample. The 3D morphology evolution of the sample by increasing the sintering time can be clearly observed from Figure 5.Figure 5
Three-dimensional reconstructed images of the sample at different sintering periods.


## 4. Discussion

Various sintering phenomena could be observed clearly from the reconstructed images (Figures3–5), such as the growth of sintering neck, the interconnected pores becoming isolated and spherical, the sample becoming dense, and so forth.At different sintering times, 100 consecutive cross-sections at the same ordinate (fromz=1 to z=100) of the sample were selected. Sintering neck in each section was extracted. First, the watershed method was applied for segmentation of the section image (Figure 6(b)). Next, the connection between the different particles was considered as a sintering neck (Figure 6(c)). Sintering necks were extracted (Figure 6(d)). Finally, different sintering necks were distinguished by employing texture segmentation and watershed [17] (Figure 6(e)).The process of extracting the sintering neck.
(a)(b)(c)(d)(e)In order to verify the uniformity of the statistical parameters in spatial location, the distribution of sintering neck size in each cross-section was summarized, as shown in Figure7. Distribution suggests that once the time is determined, the size of sintering neck would not change with the spatial location in the direction of z-axis. Therefore, the neck growth with the average sizes at different moments during the sintering process (Figure 8) was analyzed.Figure 7
The distribution of sintering neck size in different sections.Figure 8
Mean neck size in different sintering times.Neck growth has great influence on shrinkage during solid state sintering and plays an important role in determining the main diffusion mechanism and calculating the diffusion coefficient of the material [18]. Therefore, many scholars have researched sintering neck growth under various mechanisms in theory. Various forms of neck growth equation have been obtained [19].The dynamics of stable neck-growth as summarized by Kucsynski is shown in the formula below:(1)(xa)n=F(T)amt.In our observation of the sintering process, grain growth was not obvious. We believe that when the degree of densification is low, the grain size changes only slightly. In other words, the average grain size is a constant. Moreover, Figure9 shows that a good linear relationship of ln (x)-ln (t) is consistent with the conclusions of Kucsynski. The reciprocal of the slope of the straight line represents the sintering neck growth exponent n. Thus, according to our experimental results, if ln (x)-ln (t) slope of the line fitted by least squares is 0.127, then n=7.87. This value is larger than the result deduced by the two-sphere model (n= 2–7) [20]. In other words, the neck growth rate of irregularly shaped particles is smaller. Such condition can be attributed to that the shape of the particle has important influence on sintering neck growth rate. Takayasu and others pointed out that the sintering process of polyhedral particles is slower than that of the spherical particles [21]. The shape of particles determines the initial contact between particles and the size of dihedral angle, and all of these are important factors for sintering neck growth. In addition, compared to spherical particles, the more complex geometry of particles is, the greater the specific surface area is. Thus, the distance of surface diffusion is increased, and the effect of diffusion is reduced. During our experiments, the powders were irregularly shaped silicon carbide particles used in common industrial production. Inevitably, such shape displays disadvantages in neck growth, explaining why the sintering of spherical particles is better than the same process applied in irregularly shaped particles taking neck growth in consideration. However, from the view of phenomenology, the law of (x/a)n=K·t still exists during the sintering of irregular-shaped particles.Figure 9
Double logarithm curve of mean neck size and time.In addition, the value ofn was close to 7. According to exponential criterion, such relationship is presented between different values of n and main mechanisms, such that n=5 indicates bulk diffusion taking the most part, n=6 indicates grain boundary diffusion, and n=7 indicates surface diffusion. In our experiment, surface diffusion played a leading role during sintering. The effect of surface diffusion on sintering nonmetallic powders (MgO, Al2O3) was quantitatively estimated in 1989 [22], and it was concluded that the shrinkage between two particles is reduced 4-5 orders of magnitude for the participation of surface diffusion. Furthermore, it is pointed out that such a negative impact is more serious on ceramic powders with covalent bonds such as Si SiC BN and AlN. In our experiment, the microstructure of the sample changed dramatically; however, the densification failed to reach high degrees. Integrating previous conclusions, the surface diffusion is believed to play a significant role in this phenomenon.


## 5. Conclusion

The microstructure evolution of irregular-shaped silicon carbide powder was observed in situ with the SR-CT technique during solid state sintering process.(1)
A series of 2D and 3D reconstructed images of silicon carbide powder during sintering process was obtained. The microstructure evolution of silicon carbide powder and many sintering phenomena during three sintering stages were clearly observed.(2)
Neck growth between irregularly shaped ceramic powders during sintering process was calculated. Neck growth exponent was identified asn=7.87, and compared with the conclusion of the two-sphere model.(3)
By comprehending different sintering mechanisms, a qualitative analysis of the reason why the neck growth exponent is bigger than the result of traditional theory has been conducted, explaining why the irregular-shaped particles reduce the rate of the sintering when compared with the spherical ones taking sintering neck growth into consideration. Meanwhile, the importance of the original shape of particles to neck growth has been pointed out experimentally.



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*Source: 728617-2010-09-02.xml*