Effects of CTBN on the cure characteristics of DGEBA/MDA/PGE-AcAm system

Lee, J.Y.; Choi, H.K.; Shim, Mi-Ja; Kim, S.W.

doi:10.1016/s0254-0584(97)02049-x

Cited by 21 publications

(4 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Besides, the catalysis of carboxyl groups might be more obvious for the E51/CTBN system. The E51/ECTBN16 and E51/ECTBN30 systems have lower apparent activation energies than neat epoxy resin at low rubber content, particularly for the E51/ECTBN30(10) system (E a = 59.8 AE 2.0 kJ/mol), which might be closely related to the epoxy, hydroxyl and carboxyl groups in ECTBN [39][40][41]. However, the apparent activation energy of the E51/ECTBN30 system increases with increasing rubber content; this might be due to the significant increase in viscosity.…”

Section: Resultsmentioning

confidence: 95%

“…It shows that E a decreases to some extent with increasing rubber content for the E51/CTBN system. The addition of CTBN into the epoxy resins results in an increase in viscosity of the system, thus hindering the curing reaction; whereas the carboxyl groups in CTBN could catalyze the curing reaction that leads to a decrease in apparent activation energy of the system [39,40]. Besides, the catalysis of carboxyl groups might be more obvious for the E51/CTBN system.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Curing kinetics of nanostructured epoxy blends toughened with epoxidized carboxyl-terminated liquid rubber

et al. 2015

View full text Add to dashboard Cite

Section: Resultsmentioning

confidence: 95%

Section: Resultsmentioning

confidence: 99%

Curing kinetics of nanostructured epoxy blends toughened with epoxidized carboxyl-terminated liquid rubber

et al. 2015

View full text Add to dashboard Cite

“…After the crosslinking reaction, the epoxy group reacts with the primary amine group to form a hydroxyl group. The secondary amine group further reacts with the epoxy group to form a secondary hydroxyl group [ 36 , 37 ]. Other amine groups of the curing agent are crosslinked with other epoxy groups, and other epoxy groups of the monomers connect with other molecules of the curing agent [ 38 ].…”

Section: Methodsmentioning

confidence: 99%

Predicting the Properties of High-Performance Epoxy Resin by Machine Learning Using Molecular Dynamics Simulations

et al. 2022

View full text Add to dashboard Cite

Epoxy resin is an of the most widely used adhesives for various applications owing to its outstanding properties. The performance of epoxy systems varies significantly depending on the composition of the base resin and curing agent. However, there are limitations in exploring numerous formulations of epoxy resins to optimize adhesive properties because of the expense and time-consuming nature of the trial-and-error process. Herein, molecular dynamics (MD) simulations and machine learning (ML) methods were used to overcome these challenges and predict the adhesive properties of epoxy resin. Datasets for diverse epoxy adhesive formulations were constructed by considering the degree of crosslinking, density, free volume, cohesive energy density, modulus, and glass transition temperature. A linear correlation analysis demonstrated that the content of the curing agents, especially dicyandiamide (DICY), had the greatest correlation with the cohesive energy density. Moreover, the content of tetraglycidyl methylene dianiline (TGMDA) had the highest correlation with the modulus, and the content of diglycidyl ether of bisphenol A (DGEBA) had the highest correlation with the glass transition temperature. An optimized artificial neural network (ANN) model was constructed using test sets divided from MD datasets through error and linear regression analyses. The root mean square error (RMSE) and correlation coefficient (R2) showed the potential of each model in predicting epoxy properties, with high linear correlations (0.835–0.986). This technique can be extended for optimizing the composition of other epoxy resin systems.

show abstract

“…For this purpose, this isocyanate has been used in several recent events, where L-lysine diisocyanate (LDI) based on L-lysine was compared with diisocyanate monomers produced on petroleum such as hexamethylene diisocyanate and diisocyanate isocyanate in terms of reactivity and final properties of the produced PU and using from that [16,18,[23][24][25]. Also, a fully verifiable poly (urea urethane ester) thermoplastic was synthesized using this isocyanate [26]. However, one of the rare cases in this case has been the investigation of the reaction kinetics of these two monomers [11,[27][28][29].…”

Section: Introductionmentioning

confidence: 99%

Kinetic Analysis of the Reaction between Tannic Acid (TA) and L-Lysine Diisocyanate (LDI) Systems

Karbasi,

Darvishi,

Enayati Gerdroodbar

et al. 2023

International Journal of Polymer Science

View full text Add to dashboard Cite

The kinetics of the synthesis of green polyurethane from the reaction between tannic acid (TA) and L-lysine diisocyanate (LDI) were investigated using the differential scanning calorimeter (DSC) technique and dynamic rheological tests. The evaluation of the reaction behavior of the prepared samples was carried out using nonisothermal conditions at dynamic heating rates of 5, 10, 15, and 20°C/min. The evolution of the activation energy with conversion was computed through the five isoconversional methods of Ozawa-Flynn-Wall and Kissinger-Akahira-Sunose (KAS), the Ozawa-Flynn-Wall method (OFW), Friedman (FR), Starink, and Vyazovkin. The average activation energy calculated from these methods was estimated at 46.5, 46.8, 47.2, 47.3, and 51.4 KJ/mol, respectively. The preexponential factor was evaluated at 5.04 × 10 5 1/s. The overall reaction order ( n + m ) was also found to be around 1.8912. The results of the combination of the model-free method and model-fitting approach exhibited that the reaction mechanism was an autocatalytic type, implying the autocatalytic effect of the urethane groups formed during the reaction. The obtained kinetic for TA/LDI was verified through its good agreement with the experimental data. Moreover, the results found from the isothermal rheological test show that with increasing temperature, the gelation time decreases.

show abstract

Effects of CTBN on the cure characteristics of DGEBA/MDA/PGE-AcAm system

Cited by 21 publications

References 14 publications

Curing kinetics of nanostructured epoxy blends toughened with epoxidized carboxyl-terminated liquid rubber

Curing kinetics of nanostructured epoxy blends toughened with epoxidized carboxyl-terminated liquid rubber

Predicting the Properties of High-Performance Epoxy Resin by Machine Learning Using Molecular Dynamics Simulations

Kinetic Analysis of the Reaction between Tannic Acid (TA) and L-Lysine Diisocyanate (LDI) Systems

Contact Info

Product

Resources

About