A Study on Curing Kinetics of Nano-Phase Modified Epoxy Resin

Ma, Hailing; Zhang, Xin; Ju, Feifei; Tsai, Sang‐Bing

doi:10.1038/s41598-018-21208-0

Cited by 65 publications

(55 citation statements)

References 23 publications

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“…Weber et al proposed the ELM-ART intelligent interactive web-based teaching system, which provides interactive online learning resources, knowledge navigation, question answering, and analysis [6]. By analyzing the behavioural characteristics of Twitter users, Ma et al found that highly extroverted users tend to relieve their emotions through social tools more than other users, linking the emotions of highly extroverted users to their behaviors and providing a new entry point for analyzing user behavior: user emotions [7]. Based on the results, Ma and Tsai further analyzed user behavior on the Twitter platform and concluded that the user's personality and individuality could be analyzed and predicted by the user's online behavior patterns [8].…”

Section: Current Status Of Researchmentioning

confidence: 99%

An Empirical Study on Big Data Model and Visualization of Internet+ Teaching

Hua

Tsai

2021

Mathematical Problems in Engineering

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In this paper, we conduct an in-depth study and analysis of “Internet+ Business English” teaching through teaching big data model and visualization and elaborate on the change of educational objectives in the context of Internet education. From the perspective of individual value coordinates, the goal of education is to adhere to the people-oriented, personalized, and comprehensive free development of human beings; from the perspective of social value coordinates, the goal of education is to cultivate innovative talents for social innovation and development; through the multiple perspectives of the curriculum in the context of Internet education, we analyze the goal orientation and value reshaping of the curriculum in the context of educational change. The curriculum of the future will develop toward an intelligent curriculum and introduces the curriculum design and the form of curriculum organization in the context of Internet education. A comparison of the constructed regression and classification of a total of 27 data models reveals that the model constructed based on all data in the integrated education system is the most effective. The multiple linear regression model explained up to 66.5% of the variance in student academic performance; the explanatory power of the social and demographic characteristics dimension variables ranged from approximately 13% to 18%, the personal characteristics dimension variables ranged from 7% to 20%, and the student input dimension variables ranged from 10% to 17%. The highest correct prediction rate of the binary logistic regression model was 69%.

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Section: Current Status Of Researchmentioning

confidence: 99%

An Empirical Study on Big Data Model and Visualization of Internet+ Teaching

Hua

Tsai

2021

Mathematical Problems in Engineering

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“…Four thermokinetic models were applied 31 – 39 to understand the thermokinetic parameters for EEC undergoing with UV for different durations.…”

Section: Resultsmentioning

confidence: 99%

Effects of UV for Cycloaliphatic Epoxy Resin via Thermokinetic Models, Novel Calorimetric Technology, and Thermogravimetric Analysis

Laiwang

Liu

Tsai

et al. 2018

Sci Rep

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The cycloaliphatic epoxy resin selected for this study was 3,4-epoxycyclohexane methyl-3′4′-epoxycyclohexyl-carboxylate (EEC). Epoxy resin has numerous applications, such as varnishes, tires, and electronic materials. However, the extensive used of chlorofluorocarbon (CFC) compounds in the last century has resulted in the formation of a hole in the ozone layer. As a consequence, solar radiation is intensifying gradually; therefore, continuous irradiation by sunlight should be avoided. The results of solar radiation can exacerbate the deterioration and photolysis of compounds. Through thermogravimetry and differential scanning calorimetry, the apparent onset temperature of EEC and EEC was analyzed under UV radiation for different durations. Thermokinetic data were used to determine the parameters of thermal decomposition characteristics through simulation to assess the reaction of EEC and EEC under UV radiation for different durations. The goal of the study was to establish the parameters of thermal decomposition characteristics for the effects of UV on EEC, as well as the probability of severity of thermal catastrophe.

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“…In this method, the reaction rate is assumed to be only a function of temperature, and E a values are compared at different conversions to corroborate the consistency of the reaction mechanism throughout the process 26 . Kinetic methods are divided into differential and integral methods 27 . In this study, the ASTM E698, Kissinger–Akahira–Sunose (KAS), Starink, and Flynn–Wall–Ozawa (FWO) methods were selected as representative methods for dynamic analysis.…”

Section: Experimental and Methodsmentioning

confidence: 99%

Thermal Decomposition and Nonisothermal Kinetics of Monoethanolamine Mixed with Various Metal Ions

Wei

Huang

Shu

et al. 2019

Sci Rep

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Ethanolamine is a critical chemical for petrochemical enterprises. When corrosion occurs in pipelines, equipment, and containers in petrochemical enterprises, minute amounts of metal ions are released. In this study, the thermal decomposition and nonisothermal kinetics of monoethanolamine (MEA) and MEA mixed with copper and zinc ions were analyzed using thermogravimetry (TG) and differential scanning calorimetry (DSC). The TG tests revealed that MEA mixed with copper (II) and zinc (II) began thermal decomposition at 75.2 and 60.3 °C, respectively, whereas pure MEA began thermal decomposition at 89.7 °C. Two exothermic peaks were observed in the DSC curves for MEA mixed with copper (II) and zinc (II), and thermokinetic parameters were obtained from DSC data. The apparent activation energy ( E a ) of each stage was calculated using several nonisothermal kinetic methods, namely the ASTM E698, Kissinger–Akahira–Sunose, Starink, and Flynn–Wall–Ozawa methods. The E a of pure MEA was 28.7 ± 2.5 kJ/mol, whereas that of the copper and zinc mixtures were 80.5 ± 1.1 and 46.8 ±1.7 kJ/mol, respectively. The results can be used to improve the intrinsic safety of storage tanks and petrochemical plants.

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A Study on Curing Kinetics of Nano-Phase Modified Epoxy Resin

Cited by 65 publications

References 23 publications

An Empirical Study on Big Data Model and Visualization of Internet+ Teaching

An Empirical Study on Big Data Model and Visualization of Internet+ Teaching

Effects of UV for Cycloaliphatic Epoxy Resin via Thermokinetic Models, Novel Calorimetric Technology, and Thermogravimetric Analysis

Thermal Decomposition and Nonisothermal Kinetics of Monoethanolamine Mixed with Various Metal Ions

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