Non-isothermal crystallization kinetics of ternary Se90Te10−Pb  glasses

Atyia, H.E.; Farid, A. S.

doi:10.1016/j.jcrysgro.2015.12.004

Cited by 31 publications

(17 citation statements)

References 49 publications

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“…Those discrepancies in the prediction of martensitic layer thickness and volume fractions might be due to the reaction-rate constant K and Avrami index n used in the phase composition calculations as well as the rough estimation of β phase transition during both heating and cooling. K and n depend on the temperature, material components and the mechanism of transformation [50][51][52]. K and n in the current studies are in a temperature range of 1023 to 1223 K. However, in the experiment, the temperature range is up to 3000 K. Besides, super heating and cooling conditions are also known to cause significant changes in transformation parameters and mechanisms [53,54].…”

Section: Hardness Mapmentioning

confidence: 60%

Microstructure and wear resistance of Ti6Al4V surfaces processed by pulsed laser

Chen

Usta

Eriten

2017

Surface and Coatings Technology

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When pulsed laser beams deposit spatially and temporally localized power on the metallic surfaces, microstructure and mechanical properties could change significantly. During and after each pulse, the exposed surface experiences a cycle of thermal processes involving extremely high heating and cooling rates, which consequently cause significant microstructure evolution. Changes in mechanical strength follow such microstructural changes. In this work, the influence of pulsed laser processing (PLP) on microstructural evolution, resulting hardness and wear resistance of Ti6Al4V surfaces is investigated. Average pulse power is varied from surface heating to melting regimes in processing. A 2D axisymmetric finite element model of a single pulse is utilized to obtain the heating and cooling histories, and a phase transformation mapping procedure is used to obtain the microstructural evolution. Melting (MZ) and heat affected zones (HAZ) observed at the cross sections of the processed surfaces are found to correlate with the predicted temperature field. The resulting phases in those zones are predominantly martensitic α' and α phase; higher laser power produces thicker martensitic α' surface layers several microns into the processed surface. Nanoindentation, nano/microscale and mesoscale wear tests are then applied to the processed surfaces to identify the effects of microstructure on hardness and wear resistance. The surface processed by higher laser power shows higher hardness and wear resistance compared to the surface processed by low power laser. The hardness and wear resistance of the surface processed by low power laser shows no obvious change from substrate material. Mixture of hard martensitic surface layer and underlying ductile substrate resulting from PLP facilitate superior resistance to abrasive and partly low cycle fatigue wear.

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Section: Hardness Mapmentioning

confidence: 60%

Microstructure and wear resistance of Ti6Al4V surfaces processed by pulsed laser

Chen

Usta

Eriten

2017

Surface and Coatings Technology

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“…Figure A,B plot the evolution of ln [−ln (1− x )] against ln (β) for the crystallization of YAG and α‐Al 2 O 3 phases at different temperatures (the temperatures were selected higher than T c1 and T c2 at 30 K/min), respectively. It was widely accepted that different n and m values correspond to various crystallization mechanisms as given in Table . With regard to YAG and α‐Al 2 O 3 crystalline phases, the value of n derived from linear fitting slope, which was approximately 1, so did m, indicating the surface nucleation for both phases.…”

Section: Resultsmentioning

confidence: 99%

“…Up to now, various materials were quantified using the fragility index, including SiO 2 , metallic glasses, ortho‐terphenyl, etc . The fragility index F can be expressed as follows:

F = \frac{E_{g}}{R T_{normalg} ln false(normalβ false)} .

…”

Section: Resultsmentioning

confidence: 99%

“…It was widely accepted that different n and m values correspond to various crystallization mechanisms as given in Table 5. 20 With regard to YAG and a-Al 2 O 3 crystalline phases, the value of n derived from linear fitting slope, which was approximately 1, so did m, indicating the surface nucleation for both phases. The slope decreases with increasing temperature, denoting that the crystallization mechanisms varies from nucleation-driven mode at the initial stage to essentially growth-driven mode at the middle and end stages.…”

Section: Evaluation Of Activation Energymentioning

confidence: 95%

“…Up to now, various materials were quantified using the fragility index, including SiO 2 , metallic glasses, ortho-terphenyl, etc. 25 The fragility index F can be expressed as follows: 20 T A B L E 5 Different Avrami index (n) and dimensionality of growth (m) correspond to various crystallization mechanisms 21…”

Section: Evaluation Of Glass Fragilitymentioning

confidence: 99%

See 2 more Smart Citations

Non‐isothermal crystallization kinetics of Al₂O₃‐YAG amorphous ceramic coating deposited via plasma spraying

et al. 2018

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Crystallization kinetics of the newly developed Al2O3‐Y3Al5O12 (YAG) amorphous ceramic coating fabricated by atmospheric plasma spraying (APS) were investigated via differential scanning calorimetry (DSC) under non‐isothermal conditions. The phase compositions and microstructure of the as‐sprayed coating were characterized by X‐ray diffraction (XRD) and Scanning electron microscopy (SEM). The glass transition temperature Tg, the onset temperature of crystallization Tc and the peak temperature of crystallization Tp presented heating rate dependence. The related kinetic parameters of activation energies (Eg, Ec, Ep) and Avrami exponents (n) were quantified using various methods including Kissinger, Augis–Bennett, Ozawa and Matusita–Sakka, etc., to understand the phase transition mechanism and crystallization process in depth. A series of parameters including devitrification interval ΔT, thermal stability (Tc, Ec), nucleation resistance Ec/RTg and fragility index F were quantified in order to evaluate the nucleation mechanism, crystallization behavior and thermal stability of Al2O3‐YAG amorphous ceramic coating. Excellent thermal stability was witnessed in the studied coating. Furthermore, the YAG crystalline phases can be reasonably controlled and independently precipitated from the amorphous matrix via proper annealing.

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From experimentation to prediction: comprehensive study of dielectric properties through experimental research and theoretical modeling

Lebda,

Atyia,

Habashy

2024

J Mater Sci: Mater Electron

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This study discusses the experimental findings on the frequency & temperature influences on the dielectric (constant (ε1) and loss (ε2)) of some chalcogenide materials based on Se83Bi17 composition performed in the temperature range 303 K–393 K and frequency range (100–1000000 Hz). As the frequency increases, multiple polarization mechanisms contribute to the reduction of the dielectric constant. The addition of germanium (Ge) to a composition increases ε1 more than tellurium (Te). The dielectric loss decreases with frequency while increasing with temperature and AC conductivity. Understanding these behaviors is important for material characterization and applications in fields like electronics and solar cells. The theoretical section introduces adaptive neuro-fuzzy inference systems (ANFIS), which are utilized in the estimation of the dielectric characteristics of Se83Bi17 (SB), Se83Bi17Te5 (SB-T), and Se83Bi17Ge5 (SB-G). Experimentation-related data are a source of input. ANFIS model of the Takagi–Sugeno type has been trained. With MATLAB, the most effective networks are created. The outcomes of the ANFIS modeling are exceptional. The accuracy of the modeling process is due to the error values. This study demonstrates that the ANFIS technique can accurately anticipate the dielectric properties of the compositions under consideration when they are formed into thin films. The ANFIS can describe the experimental data of the dielectric (constant (ε1) and loss (ε2)) of some chalcogenide materials for all the mentioned temperatures and frequencies. This leads to using the ANFIS model to produce the dielectric (constant (ε1) and loss (ε2)) of some chalcogenide materials for various temperatures and frequencies which there are no experimental data yet to compare with.

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Non-isothermal crystallization kinetics of ternary Se90Te10−Pb glasses

Cited by 31 publications

References 49 publications

Microstructure and wear resistance of Ti6Al4V surfaces processed by pulsed laser

Microstructure and wear resistance of Ti6Al4V surfaces processed by pulsed laser

Non‐isothermal crystallization kinetics of Al₂O₃‐YAG amorphous ceramic coating deposited via plasma spraying

From experimentation to prediction: comprehensive study of dielectric properties through experimental research and theoretical modeling

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Non-isothermal crystallization kinetics of ternary Se90Te10−Pb glasses

Cited by 31 publications

References 49 publications

Microstructure and wear resistance of Ti6Al4V surfaces processed by pulsed laser

Microstructure and wear resistance of Ti6Al4V surfaces processed by pulsed laser

Non‐isothermal crystallization kinetics of Al2O3‐YAG amorphous ceramic coating deposited via plasma spraying

From experimentation to prediction: comprehensive study of dielectric properties through experimental research and theoretical modeling

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Product

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About

Non‐isothermal crystallization kinetics of Al₂O₃‐YAG amorphous ceramic coating deposited via plasma spraying