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A combinatory model of curing process in a mixture of multifunctional active components was developed.
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Moreover, to assess the sensitivity of the developed model to curing conditions including curing time and initial CPB temperature, the authors also performed a series of laboratory experiments including monitoring the temperature and suction changes in CPB and related measurements of UCS values of CPB with different curing times and initial temperatures.
In a first part, a semi empirical model of cure conversion determination, firstly tested on epoxy systems, is applied to cyanate ester resins.
All authors (OlhaSh, AI, OlehSh) developed the microstructure model of light curing for dental composites based on PAL measurements.
Thus, the engagement of Hsp104-GFP with heat-induced substrates parallels the efficiency of [ PSI + ]Weak curing, which is increased at 40°C relative to 37°C and is inhibited by treatment with GdnHCl, providing additional support for our model of prion curing.
The model gave a good description of curing kinetics up to the onset of vitrification.
The model was tested with an analysis of curing kinetics in epoxy resin based on Bisphenol A with amine hardener.
Such cure models, explicitly model survival as a mixture of cured patients (usually modeled using logistic regression approaches) and non-cured patients (usually modeled using survival approaches).
The proper modeling of cure rate models reported in literature is with covariates, which have been proved very useful in getting improved results for the estimated cure rate.
Ultrahigh strain rate performance in a series of model amine cured epoxy resins was investigated as a function of the glass transition temperature (Tg) of the cured polymer network, where the network Tg was systematically varied through the monomer stiffness, structure, and size.
b Temperature of curing & Time of curing.
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