Sintering characteristics and grain growth behavior of MgO nanopowders by spark plasma sintering

Highly Transparent Polycrystalline MgO via Spark Plasma Sintering

“…The calculated preferred orientation factors as a function of LiF concentration are presented in Figure b, which further emphasize the texture development at high LiF concentration. Zhang et al reported a similar trend of texturing in MgO ceramics with increasing SPS sintering temperature . They suggested that anisotropy in surface diffusivities leads to competitive grain growth among neighboring crystals with different orientations, and the preferred orientation is the one corresponding to the fastest growth rate.…”

“…Zhang et al reported a similar trend of texturing in MgO ceramics with increasing SPS sintering temperature. 24 They suggested that anisotropy in surface diffusivities leads to competitive grain growth among neighboring crystals with different orientations, and the preferred orientation is the one corresponding to the fastest growth rate. This finding is consistent with our microstructural results showing noticeable grain growth at high LiF concentrations, although the sintering temperature of all samples was identical.…”

Influence of sintering additives on densification kinetics and high‐temperature strength in γ‐Y2Si2O7ceramics

“…The sintering activation energy Q was analyzed by Equations , where K can be determined from the intercept by plotting ln(Δ L / L 0 ) versus ln t according to Equation ; A is a constant related to surface tension, diffusion coefficient, and particle radius; Q is the sintering activation energy; T is the absolute temperature; R is the gas constant with a value of 8314 J/(mol K).…”

Growth Kinetics of Metallic Iron Phase in Coal-based Reduction of Oolitic Iron Ore

“…This equation was previously used to describe the grain growth of alloys, ceramics and metals. [26][27][28][29][30][31] Given the similar situation, the grain growth of metallic iron phase in coal-based reduction of oolitic iron ore was analysed using Eq. (4).…”

“…[27][28][29]33) Based on the classical phenomenological kinetic theory, n = 2 represents grain growth controlled by grain boundary diffusion, n = 3 by volume diffusion or vapor transport, and n = 4 by surface diffusion. 28,29) As shown in Table 3, the obtained n values were mostly decimals, indicating that the growth of metallic iron in coal-based reduction of oolitic iron ore was more complex, which might involve more than one controlling mechanisms.…”