Cure advancement of urethane networks using a sigmoidal chemorheological model

Teyssandier, Fabien; Love, Brian J.

doi:10.1002/pen.21560

Cited by 10 publications

(2 citation statements)

References 20 publications

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“…In constant viscosity test, the system viscosity change is mainly determined by the Functional Materials Research II degree of curing reaction. Along with the curing degree was increased, on the microscopic mainly showed the formation of network structure, hinder the movement of molecular chain; at the macroscopic show the resin system reduced liquidity, the viscosity of resin increased [8,9].…”

Section: Resultsmentioning

confidence: 99%

Prediction and Analysis on Chemorheology of MeHHPA/Hydantoin Epoxy Resin

Xin

Fan

2017

KEM

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Hydantoin epoxy resin, with a hydantoin group, is a kind of low viscosity nitrigen-containing epoxy resin. We prepared methyl hexahydrophalic anhydride (MeHHPY)/ hydantin epoxy resin, in which MeHHPA was used as cure agent. Non-isothermal differential scanning calorimetry was examined to follow the curing process. The variation of viscosity was measured the isothermal curing process by rotating viscometer respectively (70-90°C). A viscosity model, which parameters were determined by Arrhenius equation, was established on the basis of experimental data at three different temperatures. As the result showed, there is a minimum deviation comparing the dual Arrhenius viscosity model data and experimental data in the temperature range of this research. The potential of artificial neural network techniques (ANN) was employed to analyze and predict the chemorheological behavior of MeHHPA/hydatoin epoxy resin. A three layer feed forward ANN model having two input neurons, one output neuron and fourteen hidden neurons was developed to predict the chemorheologica behaviour of MeHHPA/hydatoin epoxy resin. The learning of ANN was accomplished by a backpropagation algorithm. The results display that prediction model has very good accuracy in the process of the whole experiment. Through the established ANN model, the variation characteristic of viscosity can be exactly predicted. Studying on chemorheology by ANN model can help to formulate and optimize technical process.

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Section: Resultsmentioning

confidence: 99%

Prediction and Analysis on Chemorheology of MeHHPA/Hydantoin Epoxy Resin

Xin

Fan

2017

KEM

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“…Such erosion combustion occurs mainly at the initial stage of operation of the rocket motor and occurs more frequently if the pressure and initial temperature of the propellant are higher. In particular, since the pressure and pressure index are proportional, a propellant with a low pressure index at high temperature and high pressure is required [4,5]. To address this challenge, many studies have been conducted.…”

Section: Introductionmentioning

confidence: 99%

Properties of Composite Solid Propellants Containing α‐FeOOH

Park

Choi

Park

2020

Propellants Explo Pyrotec

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The initial viscosities of propellants based on yellow iron oxide and red iron oxide were similar. Furthermore, it was confirmed that the thermal decomposition rate of the material to which yellow iron oxide was added was higher than that of the material to which red iron oxide was added; in particular, the pressure index at high pressure was low. From analyzing the combustion properties of the actual test motor, it was concluded that erosion and combustion mainly occur in the initial stage of operation of the rocket motor, and are mitigated due to the low initial pressure in the propellant containing yellow iron oxide. The mechanical properties of the propellant with yellow iron oxide were slightly better compared to those of the propellants with red iron oxide. The analysis revealed that the crystallinity, volatility, thermal decomposition, and mechanical properties of yellow iron oxide were unchanged with natural aging for 10 years. Thus, yellow iron oxide can exhibit the same performance even after prolonged aging for 10 years when applied in a rocket motor.

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In situ Dynamic Rheological Study of Polyacrylamide during Gelation Coupled with Mathematical Models of Viscosity Advancement

Savart

Dove

Love

2010

Macro Materials & Eng

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Acrylamide dynamic viscosity has been measured in aqueous solutions. Separate rheological measurements were performed on neat resins devoid of the curing agent over a range of shear rates to yield the initial resin viscosity. The gels were also characterized by sub‐ambient DSC to determine the phase structure as a function of formulation. The dynamic viscosity shows a marked sigmoidal behavior with a plateau viscosity. Mathematical interpretations of the gel time both by sigmoidal and power law models were comparable. The power law model allowed a direct determination of the gel time while the sigmoidal model yielded parameters associated with the initial viscosity, one associated with the plateau viscosity of the gel, and two time constants controlling the sharpness of the transition.magnified image

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Cure advancement of urethane networks using a sigmoidal chemorheological model

Cited by 10 publications

References 20 publications

Prediction and Analysis on Chemorheology of MeHHPA/Hydantoin Epoxy Resin

Prediction and Analysis on Chemorheology of MeHHPA/Hydantoin Epoxy Resin

Properties of Composite Solid Propellants Containing α‐FeOOH

In situ Dynamic Rheological Study of Polyacrylamide during Gelation Coupled with Mathematical Models of Viscosity Advancement

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