Thermal parameters study of 1,1-bis(tert-butylperoxy)cyclohexane at low heating rates with differential scanning calorimetry

Hsueh, Kuang-Hua; Chen, Wei‐Chun; Liu, Shang-Hao; Shu, Chi‐Min

doi:10.1007/s10973-014-4045-3

Cited by 5 publications

(1 citation statement)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The substance studied was the commercial material 1,1bis(tert-butylperoxy)cyclohexane (BTBPC). It is an asymmetrical bifunctional peroxide, with volatility, light yellow liquid [9], usually used as an igniter in styrene polymerization to produce a lower residual styrene content and a higher polymerization rate; the test data were taken from the laboratory's DSC database. The method of extracting characteristic parameters followed the steps described in the section of differential scanning calorimetry in "Practice of Thermal Analysis" [10], and Mathematica was used to convert data into peak curves and extract characteristic parameters based on this.…”

Section: Introductionmentioning

confidence: 99%

A Method to Derive the Characteristic and Kinetic Parameters of 1,1-Bis(tert-butylperoxy)cyclohexane from DSC Measurements

et al. 2022

Self Cite

View full text Add to dashboard Cite

A differential scanning calorimetry (DSC) experiment was carried out to determine the thermal characteristics of harmful substances. Most experimenters only use the results of measurement and rarely conduct in-depth research on the variety of information behind the measurement. This study used Wolfram’s Mathematica as a DSC measurement research tool to plot the peak curve and derive the characteristic parameters graphically for 1,1-Bis(tert-butylperoxy)cyclohexane. The research steps included raw data cleansing, peak curve normalization, characteristic parameter derivation, and total reaction heat calculation. The kinetic parameters of individual data were derived through the Borchardt and Daniels method, and the autocatalytic model was also verified. We applied the derived characteristic parameters to simulate the peak curve through the Gaussian curve model, which can be used for estimating the peak curve of other heating rates. The derived kinetic parameters were used to observe the effects on the peak curve. The simulation can be used to plan the test results at other rates in a similar temperature range and can also be used to explore the influence of different kinetic parameters on the configuration of the shape of the peak curve and a preliminary model test of materials for materials DSC research.

show abstract

Section: Introductionmentioning

confidence: 99%