Crystallization kinetics of glassy materials: the ultimate kinetic complexity?

Four examples of complex crystallization kinetics changing with fundamental experimental conditions (temperature, heating rate) were introduced—formation of tetragonal ZrO 2 in vanadium-doped zirconia catalyst, crystal growth in Y 3 Al 5 O 12 (YAG) glass microspheres, multi-phase crystallization in...

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Bibliographic Details
Published in:Journal of thermal analysis and calorimetry 2018-10, Vol.134 (1), p.825-834
Main Authors: Brandová, Daniela, Svoboda, Roman, Zmrhalová, Zuzana Olmrová, Chovanec, Jozef, Bulánek, Roman, Romanová, Jana
Format: Article
Language:English
Subjects:
Activation energy
Analytical Chemistry
Chemistry
Chemistry and Materials Science
Complexity
Conditioning
Crystal growth
Crystallites
Crystallization
Deconvolution
Heating rate
Inorganic Chemistry
Kinetics
Measurement Science and Instrumentation
Microspheres
Physical Chemistry
Polymer Sciences
Reaction kinetics
Selenium
Temperature dependence
Vanadium
Yttrium-aluminum garnet
Zirconium dioxide
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Summary:Four examples of complex crystallization kinetics changing with fundamental experimental conditions (temperature, heating rate) were introduced—formation of tetragonal ZrO 2 in vanadium-doped zirconia catalyst, crystal growth in Y 3 Al 5 O 12 (YAG) glass microspheres, multi-phase crystallization in (GeTe 4 ) 50 (GaTe 3 ) 50 chalcogenide glass for far-infrared optics and formation of crystallites in selenium glass. In each case, a unique solution employing either mathematic or kinetic deconvolution was utilized to obtain full description of the crystal growth kinetics and its dependence on temperature/heating rate. The article discusses merits and flaws of each approach together with the general advantages and disadvantages of the mathematic and kinetic deconvolution procedures. In conclusion, the kinetic deconvolution can be used as an exploratory tool; suitability of the method for full kinetic description of the process is conditioned by relative constancy of apparent activation energy across the explored range of experimental conditions and by describability of the experimental data within a framework of some standard kinetic model. On the other hand, mathematic deconvolution is not limited by the above-listed conditions and cannot properly account for potential mutual dependences occurring between the particular sub-processes.
ISSN:1388-6150
1588-2926
DOI:10.1007/s10973-018-7078-1